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Prevalence and associated risk factors for noma in Nigerian children: a systematic review and meta-analysis

BMC Oral Health volume 24, Article number: 685 (2024) Cite this article

Abstract

Objectives

To determine the prevalence, case-fatality rate, and associated risk-factors of Noma in children in Nigeria.

Methods

Search was conducted in PubMed, Google Scholar, and Cochrane Library databases. Data were extraction using a double-blind approach. Discrepancies were resolved by a third reviewer. Heterogeneity was evaluated using I2 statistics. Random-effects model was used for the meta-analysis and subgroup analysis was conducted. The study quality was evaluated using standard Critical-Appraisal-Checklist.

Results

Of the 1652 articles identified, 12 studies that met the inclusion criteria included 871 cases of Noma. Two studies had high-risk of bias and were excluded in the meta-analysis. Pooled prevalence of Noma was 2.95% (95%CI:2.19–3.71; Z = 7.60; p < 0.00001, I2:100.0). Case fatality was reported in one study. Sex-distribution had a male-to-female ratio of 1.1:1. Malnutrition (88.42%, 95%CI:52.84–124.00; I2:100.0), measles (40.60%; 95% CI:31.56–49.65; I2:100.0) and malaria (30.75%; 95% CI:30.06–31.45; I2:100.0) were the most notable associated risk-factors. Prevalence of Noma was non-significantly lower in southern (1.96%,95%CI:1.49–2.44;6 studies) than in northern (4.43%; 95%CI:-0.98-9.83; 4 studies) Nigeria. One study reported the prevalence of Noma in children younger than 5 years.

Conclusions

About every 3 in 100 children in Nigeria had Noma and the prevalence was non-significantly higher in northern than southern Nigeria. Malnutrition, measles, and malaria were major associated risk-factors. Case-fatality rate and prevalence based on different age-groups were inconclusive.

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Introduction

Noma, also known as cancrum oris or stomatitis gangrenosa, is referred to as a neglected disease [1,2,3,4] with very little written about it despite its destructive effects [5]. It results from bacterial infection (such as Prevotella sp., Spirochaetes sp., Peptostreptococcus sp., Borrelia vincentii, Fusiformis fusiformis, and Fusobacterium necrophorum) and is associated with poverty [4]. The intraoral pathogenic microorganisms compromise the immune system’s ability to resist infection leading to a rapidly gangrenous infection that spreads to the tissues of the face [6], and ultimately causes the destruction of the cheek, nose, lips and/or the eye lid [7]. This leads to facial disfigurement [8, 9], trismus, oral incontinence, and speech issues [10, 11]. Noma also leads to considerable deterioration in quality of life due to lifelong physical and mental health sequelae [12]. It is also highly fatal [13]: without treatment, 90% of individuals with Noma die within a week or less [10].

The recognized risk factors associated with Noma encompass inadequate oral hygiene, malnutrition, and weakened immune responses due to factors including measles or other illnesses that compromise immunity [6, 14,15,16]. This situation is compounded by limited access to nourishing food and essential medical care resulting from financial constraints and geographical barriers [17, 18]. Additionally, suboptimal feeding practices, inadequate hygiene and sanitation conditions [19], as well as limited availability of vaccinations contribute to the challenges faced by affected populations [17].

Individuals afflicted by Noma commonly inhabit rural regions, where the prevalence of poverty is higher than urban centers [20, 21]. Within these communities, there is greater susceptibility to concurrent health issues associated with Noma [22], including a higher likelihood of compromised oral health [23]. This is driven by the financial inability to acquire items like toothbrushes and toothpaste, which are essential for oral hygiene [23]. Moreover, children bear the brunt of Noma’s impact, making it a manifestation of poverty and malnutrition among this subgroup of the population [19]. The vulnerability of children to Noma is acknowledged by prominent bodies such as the UN Committee on the Rights of the Child and the Committee on Economic, Social, and Cultural Rights [24, 25]. Therefore, placing a priority on concerted efforts to eliminate Noma would contribute significantly to the realization of the health and well-being rights of the most vulnerable members of society.

Despite the well-documented severe repercussions of Noma, obtaining precise and evidence-based reports about it has proven elusive, and the global extent of its prevalence remains uncertain [26, 27]. Most available reports concerning Noma are case studies [28], originating from Africa and Asia [5, 29,30,31,32,33,34,35,36]. Among these, Nigeria stands out as one of the endemic countries for Noma in Africa [37]. The scarcity of epidemiological information on Noma can be attributed to its prevalence primarily among the most economically disadvantaged segments of society [38]. A systematic review aimed at compiling worldwide Noma data did not incorporate a meta-analysis or provide a consolidated prevalence report [39]. A recent bibliometric analysis that focused on Noma publications substantiated the limited attention that this disease receives on a global scale [40]. A comprehensive scoping review emphasized the necessity for future research to address critical areas such as assessing disease burden and distribution, identifying the mortality rate, uncovering risk factors, and elucidating factors influencing prognosis and post-treatment outcomes [41]. Presently, the World Health Organization officially recognized Noma as a neglected tropical disease on 13th December 2023 following a recommendation of the Strategic and Technical Advisory Group for Neglected Tropical Diseases [1,2,3].

Consequently, the present study was conceived as a response to the existing knowledge gap regarding Noma. The Nigerian Ministry of Health underlined Noma’s status as a significant national public health concern, emphasizing the urgent need to generate reliable evidence to inform program planning [42]. The primary objectives of this systematic review and meta-analysis were to ascertain the prevalence of Noma, its case fatality rate, and the associated risk factors among children in Nigeria.

Methods

Study protocol

The study was performed according to an a priori defined protocol for systematic review and meta-analysis, with PROSPERO number: CRD42023396391. The whole study was reported following the Preferred Reporting Item for Systematic Reviews and Meta-analyses (PRISMA) statement and checklist [43]. Each review stage was performed by two authors in a blinded fashion, and disagreements were solved by a discussion with a third author.

Search strategy

Multiple searches were conducted using electronic databases, including PUBMED, Google Scholar, and The Cochrane Library, covering the period from their inception to July 2023. The following search terminologies were used in the search strategy subsection: epidemiology OR prevalence AND Noma OR Cancrum Oris OR Oris OR Cancrum OR stomatitis gangrenosa AND malnutrition OR malnourished OR poverty OR Acquired Immune Deficiency Syndrome OR Human Immunodeficiency Virus OR malaria OR measles OR Chicken pox AND ulcerative gingivitis OR infections OR oro-facial gangrenous infection AND Children OR child OR under-five OR adolescent OR Chil* OR infant* AND Nigeria OR Sub-sahara* Africa*. The initial search syntax was developed for PubMed and later adapted to fulfil the unique search criteria of the other databases, as detailed in Supplemental File 1. The review process involved evaluating the titles and abstracts of all the references obtained from eligible articles. Supplementary articles were also discovered by examining the reference lists of already identified articles.

Study selection

Two researchers (GUE and EEO) independently determined and selected the studies to be included in the review considering the inclusion and exclusion criteria. The titles and abstracts of all studies were screened, followed by assessment of full texts of selected studies in detail to determine eligibility. The articles selected independently by the two authors were compared. A joint decision was reached by meeting with the third author (EPI) about the articles on which there was a disagreement.

Inclusion and exclusion criteria

Both published and unpublished studies were included in this systematic review. In cases where a study was reported in multiple sources, the most comprehensive and current version was selected. To be considered eligible, studies needed to fall under the following categories: cross-sectional studies, cohort studies, and case-control studies. Additionally, studies were included if they presented data in children population (0 to 16 years), and available data for at least one of the primary outcomes.

Exclusion criteria encompassed studies focused on adult populations, studies that did not provide information on prevalence of Noma among children in Nigeria, studies lacking sample size details, studies conducted outside Nigeria, studies with inaccurate or unavailable outcome data, and studies featuring duplicate samples. Furthermore, review articles were omitted from consideration. Studies with overlapping data from other included studies, along with case reports, case series, or editorials, were also excluded. Language restrictions were not imposed. Two authors independently assessed each study chosen for inclusion in the research, and a third author cross-checked the evaluation.

Quality and risk of bias within studies assessment

Evaluations of the risk of bias followed an adapted version of the observational studies’ risk of bias tool developed by Hoy and colleagues [44]. Each study was scrutinized for nine risk of bias domains namely: alignment of the study’s target population with the national population in terms of pertinent variables, the congruence between the sampling frame and the target population, the utilization of random selection techniques in the sampling process, the minimization of non-response bias through a substantial response rate, the direct collection of data from participants rather than proxies, the precision of the study’s case definition, the reliability and validity of the instrument employed for data collection, the consistency in the mode of data collection across all participants, and the accurate description of the numerator and denominator for the parameter of interest.

To rate each specific parameter, the authors reached a consensus to assign a score of 0 if the study met the criterion and 1 if it did not. Subsequently, a composite quality index was calculated, and the risk of bias was categorized as low (0 to 3), moderate (4 to 6), or high (7 to 9), and reported in the Supplementary File 2. Only articles with low and moderate risk of bias were included in the meta-analysis. Two authors independently evaluated each study against the critical appraisal checklist, with the third author providing verification.

Outcome measurement

The outcome measures for this systematic review and meta-analysis encompassed the prevalence of Noma in Nigeria and the case fatality rate of Noma in Nigeria. The associated risk factors were also outcomes of interest. Prevalence of Noma in children was the number of children (0–16 years) with the disease divided by the number of children in the defined study population [45]. These measures were intended to be quantified through the application of meta-analysis techniques.

Subgroup and sensitivity analyses

Subgroup analyses were carried out to uncover potential sources of heterogeneity. Some subgroups were categorized based on the age brackets in the included studies, i.e., 0–5 years and 6–16 years. The proportion (95% CI) of children with Noma in Nigeria was divided into strata based on publication years (1970–1999 vs. 2000–2023), Nigerian regions (south vs. north), and the age distribution of the studied population (0–5 years vs. 6–16 years). All subgroup analyses were performed on a study level. A subgroup effect was considered present when the interaction test in Review Manager 5.4.1 indicated group differences (p < 0.10). Sensitivity analysis was conducted to investigate the impact of risk of bias (high risk of bias versus low risk of bias) on prevalence rate and case fatality rate. We also performed a leave-one-out sensitivity analysis to reveal the influence of individual studies on the overall pooled prevalence from all studies.

Assessment for publication bias

Publication bias and the potential impact of small studies were evaluated employing funnel plots and Egger’s tests for outcomes encompassing at least ten studies [46].

Data extraction

A standardized data extraction form was devised by the researchers to uniformly collect information from each study that was incorporated into the systematic review. This data extraction form encompassed various details, including the first author’s name, year of publication, the year when data collection occurred, the political region where the study was conducted, the city where the study was conducted, the study setting, the study design, the count of cases, the mean or median age of the included children, and the prevalence, the sample size, the tools employed for data collection, the gender distribution among cases, and the stage of Noma. According to the World Health Organization, Noma can be classified into five stages: Stage 1: acute necrotising ulcerative gingivitis; Stage 2: oedema; Stage 3: gangrene; Stage 4: scarring; and Stage 5: sequel [21]. Where datum was presented in percentage form, the number of events was derived from the total number of participants in the respective group. Furthermore, the authors sought any missing information directly from the original authors via email if feasible.

Data synthesis and analysis

The analysis was conducted using Review Manager 5.4.1 (Copenhagen: The Nordic Cochrane Centre, Cochrane Collaboration, 2021). The prevalence of Noma was calculated for each individual study and subsequently pooled to derive an overall estimate. These prevalence values were visually presented on a forest plot. The DerSimonian-Laird random effects model was employed across all analyses. Furthermore, available information on the case fatality rate, associated risk factors, were documented from the included studies.

The prevalence of Noma within the study population was combined, employing the percentage (along with a 95% confidence interval) as the effect size. This combined effect was calculated using the generic inverse variance (IV) approach, as the effect of a single rate and its standard error closely resembles the Rate Difference (RD). To assess study heterogeneity, the Q test and forest plots were utilized. The extent of statistical heterogeneity among studies was assessed through the inconsistency index I2 (Higgins I2), with categorizations of null (I2 = 0), insignificant (0 < I2 ≤ 25%), low (25 < I2 ≤ 50%), moderate (50 < I2 ≤ 75%), and high (I2 > 75%) [47].

].

Results

Search results and study selections

Figure 1 displays the PRISMA flow diagram of literature search and selection. The database searches, hand searches and other sources’ search yielded 652 resources. A total of 49 duplicates were removed, leaving 603 articles for title and abstract screening. After title and abstract scanning, 12 articles were considered relevant. The full manuscripts were reviewed for inclusion [48,49,50,51,52,53,54,55,56,57,58,59] and the extracted data are shown in Tables 1 and 2.

Fig. 1
figure 1

PRISMA flow chart

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Table 1 The characteristics of the included studies
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Table 2 The characteristics of the included studies II
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Nine articles [60,61,62,63,64,65,66,67,68] were excluded after full text screening, with reasons (such as review article, case report or case series) highlighted in Supplementary File 3 (Appendix 3).

Characteristics of the included studies

The characteristics of each study are detailed in Table 1. The publication timeline of these studies encompasses the years 1972 through 2020. The sample size exhibited variability, ranging from 62 to 8,900,000 individuals, with a total of 12,420,584 across the entirety of the studies. The diagnosis of Noma in all studies was predicated upon clinical assessment.

Out of the 12 studies, five (41.7%) obtained their data from the northern states of Nigeria [48, 49, 52,53,54], and six (50.0%) collected data from the southern states only [51, 56,57,58,59]. One study (8.3%) separately presented data for the northern and southern regions within a single report [55].

Every study included in the analysis presented information either about Noma prevalence or its estimation. One study [56] reported the case fatality rates, and five studies examined the associated risk factors [48, 49, 51, 57, 59]. Additionally, one study offered insights into the staging of Noma [56], while another provided information on the prevalence for participants aged under 5 years and those aged between 6 and 16 years [53].

Prevalence of noma in Nigerian children

The pooled prevalence of Noma in Nigerian Children or its estimation as reported by the included studies [48,49,50,51,52,53,54,55,56,57,58,59] was 2.95% (95% CI: 2.19–3.71, Z = 7.60, p = 0.00001, I2: 100.0) as shown in Fig. 2.

Fig. 2
figure 2

Meta-analysis showing the pooled prevalence of noma in nigerian children. Abbreviation IV = inverse variance; Red circle = High risk of bias; white or empty circle = Moderate risk of bias; Green circle = Low risk of bias

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Case fatality rate of Noma

Only one [56], out of the 12 included studies, reported a case fatality rate of Noma at 0%

Frequency of Noma risk factors

Five of the 12 studies reported on the associated risk factors [48, 50, 51, 57, 59]. The highest prevalence was for malnutrition (88.42%, 95% CI: 52.84–124.00, I2: 100.0), followed by measles (40.60%, 95% CI: 31.56–49.65, I2: 100.0) and malaria (30.75%, 95% CI: 30.06–31.45, I2: 100.0). This is shown in Fig. 3.

Fig. 3
figure 3

Meta-analysis of frequency of Noma associated risk factor in Nigeria. Abbreviation IV = inverse variance

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Stages of Noma

Three [51, 52, 56] studies reported on the stage of Noma. One [56] study reported the actual stages as follows: stage 1 (2.3%), stage 2 (39.7%), stage 3 (42.0%), stage 4 (13/0%). Another study [51] reported that advanced cases of Noma were the types frequently encountered and presented hardly any possibility of confusion with other lesions. In Farley et al. study [52], no cases of late stage Noma were detected.

Gender distribution of Noma cases

Seven studies [49, 50, 54,55,56,57, 59] specifically addressed the gender distribution of Noma cases. The cumulative number of cases reported in the seven studies was 169 males and 149 females, resulting in a male-to-female ratio of 1.1:1.

Quality assessment and Risk of Bias

The comprehensive results quality assessment are in Supplemental file 2 and Fig. 2. Among these, nine (75.0%) studies were categorized as high quality [49,50,51,52,53,54, 57,58,59], while one (8.3%) had moderate quality [56]. Two (16.7%) studies had low-quality as they had high risk of bias [49, 55] and were excluded for the meta-analysis. The other 10 studies were retained for synthesis of knowledge.

Subgroup analysis

Year of publication

The studies were categorized into two time periods: from 1970 to 1999, and from 2000 to 2023. The prevalence in five studies [51, 56,57,58,59] published between 1970 and 1999 (2.21%; 95% CI: 1.64 to 2.79%, p < 0.00001; I2 = 100.0%; 5 studies) was lower than the prevalence in five studies [48, 50, 52,53,54] published between 2000 and 2023 (3.68%; 95% CI: -0.85 to 8.21%, p < 0.00001; I2 = 100.0%; 5 studies), Fig. 4. Test for subgroup differences showed no significant difference (p = 0.53). Notably, the level of heterogeneity remained consistent, suggesting that the variation in prevalence is not attributed to the year of publication (I2 = 100.0% vs. 100.0%).

Fig. 4
figure 4

Meta-analysis showing the pooled prevalence of Noma in Nigeria according to year of publication. Abbreviation IV = inverse variance

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Region of study

The prevalence of Noma in southern Nigeria in six studies [50, 51, 56,57,58,59] (1.96%; 95% CI: 1.49 to 2.44%, p < 0.001; I2 = 100.0%) was lower than in northern Nigeria [48, 52,53,54] (4.43%; 95% CI: -0.98 to 9.83%, p < 0.00001; I2 = 100.0%) as shown in Fig. 5. Notably, the tests for subgroup differences indicated no significant difference (p = 0.37, I2 = 0.0%). The level of heterogeneity remained consistent, suggesting that the variation in prevalence is not attributed to the region of study (I2 = 100.0% vs. 100.0%).

Fig. 5
figure 5

Meta-analysis of prevalence of Noma in Nigerian Children according to regions of Nigeria. Abbreviation IV = inverse variance

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Age of study population

Only one study [53] reported the prevalence according to age 0–5 years (0.50%; 95% CI: 0.50 to 0.50%) and 6–16 years (0.50%; 95% CI: 0.50 to 0.50%). Nine studies [48, 50,51,52, 54, 56,57,58,59] reported the prevalence of Noma for the age group 0–16 years.

Other pre-planned subgroup analyses

Other pre-planned subgroup analyses (early-stage vs late stage Noma and HIV positive vs HIV negative) were not done because they were not available in the included studies.

Sensitivity analysis

Sensitivity analysis was conducted using a random-effects model. Studies with high risk of bias [49, 55] had a significantly lower prevalence of Noma (0.02%; 95% CI 0.02–0.03; I2 =100%; p <0.00001) than studies with low risk of bias [48, 50,51,52,53,54, 57,58,59] (3.09%; 95% CI 2.16 to 4.01; I2  =100%; p<0.00001). Using the leave-one-out sensitivity analysis, the result of a random effect model revealed that, the pooled prevalence of Noma among Nigerian children was not influenced by a single study (Figs. 6, 7 and 8). We could not perform sensitivity analysis according to case fatality rate because only one study reported this [56].

Fig. 6
figure 6

Sensitivity analysis showing the prevalence of Noma in Nigerian children according to the pooled estimate of studies with high and low risk of bias. Abbreviation IV = inverse variance

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Fig. 7
figure 7

Leave-one-out sensitivity analysis showing the influence of individual studies on the overall pooled prevalence of Noma from all the studies

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Publication bias assessment

There was no evidence of asymmetry in the funnel plot in Fig. 8, suggestive that no significant publication bias exists. The Egger test (Fig. 9) was used as a statistical method to assess publication bias; the effects of research on the H0 test are not significant (Egger test, p = 0.4977).There was also no evidence of small study effects (as indicated by the Eggers test (Fig. 8) which was not significant.

Fig. 8
figure 8

Funnel plot of the included studies

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Fig. 9
figure 9

Egger test* regression graph of included studies. Abbreviation se = standard error; *Data: number of XY pairs: 10; equation: y = 0.0.1745X + 264.0; Best-fit values: Slope: 0.1745 ± 0.2456; Y-intercept: 264.0 ± 171.7; X-intercept: -1513; 1/slope: 5.732; Goodness of fit: R square: 0.05934; Sy.x: 323.7; F: 0.5046; DFn, DFd: 1.8; p-value: 0.4977 (not significant)

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Patient and public involvement

There was no patient or public involvement in the design or execution of this systematic review and meta-analysis.

Discussion

This study was the first meta-analysis to evaluate the cumulative and overall prevalence of Noma in children in Nigeria. This systematic review and meta-analysis indicates that approximately 3 in 100 children in Nigeria have Noma. The prevalence increased non-significantly from 2.21% between 1970 and 1999 to 3.68% between 2000 and 2023. The prevalence in southern Nigeria was non-significantly lower than that in northern Nigeria. In addition, out of every 100 children with Noma, about 88 children were malnourished, 40 had measles and about 31 had malaria. This current review has a number of insights.

Firstly, the prevalence of Noma in Nigerian children raises a concern, particularly considering the possibility of its elimination [69, 70]. Secondly, the higher prevalence of Noma in Northern Nigeria appears to correlate with higher poverty levels in the region [71], inadequate access to medical care [72], severe malnutrition [73], compromised access to safe drinking water, substandard sanitation practices [74], and suboptimal vaccination coverage, especially poor vaccination against measles, which is a risk factor for Noma [75]. Thirdly, there is evidence of a rise in Noma prevalence, possibly linked to economic downturns exacerbating child malnutrition in Nigeria [76]. On the contrary, it is possible that the increase in the prevalence could also be attributed to a ‘harvesting’ phenomenon due to improved healthcare seeking behavior by patients with Noma, improved access to Noma-specialized care, enhanced diagnostic proficiency, or increased public awareness about Noma. Previously, inadequate diagnosis by healthcare personnel led to child fatalities from Noma [4].

These findings emphasize a critical need to address Noma as a neglected tropical disease, demanding investment for its eradication [1,2,3,4]. A particular emphasis should be placed on Northern Nigeria to advance the goal of eliminating Noma from the country. However, developing a comprehensive agenda for Noma elimination necessitates a multifaceted approach that effectively targets recognized risk factors like malnutrition, measles, and malaria. This is further underscored by the findings of this study and a preceding report [77], which highlighted malnutrition as the predominant risk factor for Noma. Malnutrition and measles increase the vulnerability of the oral mucosa to opportunistic pathogens, by inducing prolonged impairment of acquired immunological memory, and rendering individuals more susceptible to bacterial and viral pathogens [78]. Measles and malaria are established predisposing factors for Noma [18, 79, 80], often occurring during children’s weaning period and exerting pronounced immunosuppressive effects that elevate the risk of malnutrition [81, 82]. In the absence of a comprehensive strategy for Noma elimination, non-governmental organizations like the Noma Initiative [83,84,85], Médecins Sans Frontières [84, 85], and Sokoto Noma Hospital [85], which provide care for patients with Noma in Nigeria, will persistently encounter cases stemming from inadequate implementation of systemic strategies to mitigate the risk factors.

While HIV infection is widely recognized as a definite risk factor for Noma [86], this review did not identify any case of HIV-associated Noma. Individuals living with HIV are immunocompromised, elevating their susceptibility to Noma. A solitary study that screened Noma patients for HIV indicated the child had a negative HIV status [87] and the role of HIV as a risk factor from this single case. Nevertheless, the possibility exists that there is an association between Noma and HIV infection as prior cases had been reported in children and adults [88]. It is imperative that further research be conducted to establish whether HIV infection truly constitutes a risk factor for Noma in children in Nigeria, and to understand the pathophysiological mechanisms because of the high burden of children living with HIV in Nigeria [89].

No age or gender disparities for Noma was identified in this review. Previous studies have noted sex-related disparities in childhood infectious diseases due to the influence of sex hormones on the T-helper 1/T-helper 2 cytokine balance, resulting in a heightened vulnerability of males to more severe forms of numerous infections [90, 91]. Symptoms, and disease severity also often vary between sexes and across different age groups [91].

In addition, we found no case fatality, aligning with earlier research that indicates a decline in Noma-related mortality due to the availability of modern antibiotics [92]. It could be that those who died never visited the hospital and their mortality was never accounted for. However, while antibiotics provide a partial solution, they do not fully address the functional, aesthetic, and psychological challenges resulting from the deterioration of soft and hard tissues [93]. The aesthetic issues are particularly noteworthy, given that a significant number of patients are diagnosed in advanced stages, as highlighted by our review. Treating survivors of late-stage Noma remains intricate and resource-intensive, often resulting in outcomes that fall short of achieving optimal functional and aesthetic restoration. Therefore, prioritizing prevention and integrating initiatives into existing healthcare programs becomes crucial [93]. These findings underscore the necessity of further research into these negative aspects revealed by the study.

This review brings attention to the fact that Noma is not an uncommon occurrence in Nigeria, yet it continues to be overlooked by the government and health authorities despite its preventable nature. The national Noma policy should prioritize the promotion of prevention programs that can be seamlessly incorporated into existing funded initiatives aimed at preventing malnutrition, measles, and malaria [42], thereby fostering an integrated approach instead of isolated efforts for Noma eradication. This approach holds the potential for cost-effective programming. Further studies are warranted to delve into the implementation of integrated programs for children that effectively eliminate risks and enable timely access to treatment before the disease reaches its advanced stages.

One of the strengths of this review is the diversity of the population, as this study spans six decades and a wide range of participants. This allows for multiple sub-analyses. It was, therefore, able to explore outcomes that have not been assessed by previous systematic reviews, such as case fatality rates, associated risk factors, gender, and age disparities. Moreover, this systematic review and meta-analysis included studies with high quality scores, thereby bolstering reliable analyses.

This study had some limitations. One was the few numbers of relevant studies have limited the opportunity to conduct sub-group analysis for differences of Noma prevalence by age, disease stage, and the HIV status. We were unable to combine individual odds or risk ratios along with their 95% confidence intervals to assess the risk factors associated with Noma because the relevant data were not provided by the included studies. We could not calculate odds ratios, which measure associations, because there was no reported frequencies of associated risk factors in children without Noma. Additionally, two studies were excluded from our meta-analysis due to inconsistencies in how they assessed Noma prevalence, indicating a high risk of bias [49, 55]. Although our systematic review and meta-analysis focused primarily on the Nigerian population, it is worth noting that studies labeled as originating from the southern region were all conducted in southwestern Nigeria, without representation from the southeastern or south-southern areas. Similarly, studies from the northern region, except one from Abuja [49], were mostly carried out in a few Northwestern states such as Zamfara, Kebbi, and Sokoto. Notably, no studies were found from the Northeast, South-South, and Southeast regions of Nigeria. Only one out of the 12 studies included reported on mortality, with a rate of 0%, which doesn’t accurately reflect the known case fatality reported by the WHO. Moreover, the cross-sectional design of the included studies is also a recognized limitation. For our meta-analysis, we used Review Manager 5.4.1 software, which only supports the default DerSimonian and Laird random-effect meta-analysis. We were unable to conduct sensitivity analyses using restricted maximum likelihood (REML), maximum likelihood (ML), or Paule-Mandel (PM) methods within this software interface. Despite these limitations, this review has generated some new and insightful findings as enumerated in the onset of this discussion.

Conclusions

The current findings reveal that the combined prevalence of Noma among Nigerian children signifies there is a substantial burden, particularly in Northern Nigeria. Notably, malnutrition, measles, and malaria are risk factors. An effective strategy for Noma elimination in Nigeria should consider economically efficient integrated approaches that target the reduction of malnutrition, measles, and malaria. Further primary investigations are imperative to explore the case fatality rate of Noma particularly for children under the age of five.

Data availability

All datasets generated and analysed, including the study protocol, search strategy, list of included and excluded studies, data extracted, analysis plans, and quality assessment, are available in the article and upon request from the corresponding author.

Abbreviations

HIV:

Human immunodeficiency virus

PRISMA:

Preferred Reporting Items for Systematic Reviews and Meta-Analyses

WHO:

World Health Organization

References

  1. Olatunji G, Kokori E, Olatunji D, Moradeyo A, Scott GY, Onyegbule JC, et al. WHO’s recognition of NOMA as a neglected tropical disease and its global health implications. New Microbes New Infect. 2023;57:101215. https://doi.org/10.1016/j.nmni.2023.101215.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Burki T. Noma a neglected tropical disease, says WHO. Lancet Infect Dis. 2024;24(2):e89–90. https://doi.org/10.1016/S1473-3099(24)00025-2

    Article  PubMed  Google Scholar 

  3. Tovani-Palone MR. Noma as a neglected tropical disease: coordinated actions are needed. Eur Arch Paediatr Dent. 2024 Feb;26. https://doi.org/10.1007/s40368-024-00872-z.

  4. Srour L, Marck K, Baratti-Mayer D, Noma. Overview of a neglected disease and human rights violation. Am J Trop Med Hyg. 2017;96(2):268–74. https://doi.org/10.4269/ajtmh.16-0718.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Baratti-mayer D, Pittet B, Montandon D, Bolivar I, Bornand J, Jaquinet A, Schrenzel J, Pittet D. Review Noma: an infectious disease of unknown aetiology. Lancet Infect. 2003;3(7):419–31.

    Article  Google Scholar 

  6. Enwonwu CO, Falkler WA, Idigbe EO. Oro-facial gangrene (noma/cancrum oris): pathogenetic mechanisms. Crit Rev Oral Biol Med. 2000;11(2):159–71. https://doi.org/10.1177/10454411000110020201.

    Article  CAS  PubMed  Google Scholar 

  7. Gebretsadik HG. The severity of psychosocial and functional morbidity among facially disfigured untreated noma cases in Ethiopia. BMC Res Notes. 2023;16(1):162. https://doi.org/10.1186/s13104-023-06440-w.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Farley E, Lenglet A, Abubakar A, Bil K, Fotso A, Oluyide B, Tirima S, Mehta U, Stringer B. Language and beliefs in relation to noma: a qualitative study, northwest Nigeria. PLoS Negl Trop Dis. 2020;14(1):e0007972. https://doi.org/10.1371/journal.pntd.0007972.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Marck KW. A history of Noma, the Face of Poverty. Plast Reconstr Surg. 2003;111:1702. https://doi.org/10.1097/01.PRS.0000055445.84307.3C.

  10. Bourgeois DM, Leclercq MH, The World Health Organization initiative on noma. Oral Dis. 1999;5(2):172–4. https://doi.org/10.1111/j.1601-0825.1999.tb00085.x.

    Article  CAS  PubMed  Google Scholar 

  11. Mpinga EK, Srour ML, Moussa MA, Dupuis M, Kagoné M, Grema MSM, et al. Economic and social costs of Noma: design and application of an estimation model to Niger and Burkina Faso. Trop Med Infect Dis. 2022;7(7):119. https://doi.org/10.3390/tropicalmed7070119.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Khammissa RAG, Lemmer J, Feller L. Noma staging: a review. Trop Med Health. 2022;50:40. https://doi.org/10.1186/s41182-022-00431-6.

    Article  PubMed  PubMed Central  Google Scholar 

  13. World Health Organisation. Noma is a severe disease it is treatable if detected and managed early. Brazzaville, Republic of Congo; 2016.

  14. Hatcher J, Williamson L. Noma in a patient with HIV. Lancet Infect Dis. 2017;17(6):672. https://doi.org/10.1016/S1473-3099(17)30263-3.

    Article  PubMed  Google Scholar 

  15. Baniulyte G, Mcallister P. Atypical Orofacial necrosis of unknown aetiology: a Case Report with features similar to NOMA. Int J Oral Maxillofac Pathol. 2019;10(August):2–4.

    Google Scholar 

  16. Maley A, Desai M, Parker S, Noma. A disease of poverty presenting at an urban hospital in the United States. JAAD Case Rep. 2015;1(1):18–20. https://doi.org/10.1016/j.jdcr.2014.10.001.

    Article  PubMed  Google Scholar 

  17. Riumallo-Herl C, Chang AY, Clark S, Constenla D, Clark A, Brenzel L, Verguet S. Poverty reduction and equity benefits of introducing or scaling up measles, rotavirus and pneumococcal vaccines in low-income and middle-income countries: a modelling study. BMJ Glob Heal. 2018;3(2):1–11. https://doi.org/10.1136/bmjgh-2017-000613.

    Article  Google Scholar 

  18. Enwonwu C, Falkler W, Phillips R. Noma (cancrum oris). Lancet. 2006;368(9530):147–56. https://doi.org/10.1016/S0140-6736(06)69004-1.

    Article  PubMed  Google Scholar 

  19. Human Rights Council Advisory Committee. Study of the Human Rights Council Advisory Committee on severe malnutrition and childhood diseases with children affected by noma as an example, including annexed. Human rights principles and guidelines to improve the protection of children at risk or affected by malnutrition, specifically at risk of or affected by noma. UN Doc. A/HRC/19/73. 24 February 2012.

  20. Azodo C, Amenaghawon O. Oral hygiene status and practices among rural dwellers. Eur J Gen Dent. 2013;2(1):42–5. https://doi.org/10.4103/2278-9626.106806.

    Article  Google Scholar 

  21. Khammissa RAG, Lemmer J, Feller L. Noma staging: a review. Trop Med Health. 2022;50(1):40. https://doi.org/10.1186/s41182-022-00431-6.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Siddiqui F, Salam RA, Lassi ZS, Das JK. The intertwined relationship between malnutrition and poverty. Front Public Heal. 2020;8(August):1–5. https://doi.org/10.3389/fpubh.2020.00453.

    Article  CAS  Google Scholar 

  23. Tmis T. I D. Socioeconomic Status and oral health. J Prev Med. 2005;13(2):116–21.

    Google Scholar 

  24. Human Rights Council Advisory Committee. 19/7 the right to food. UN. Doc. A/HRC/RES/19/7 1, 50.

  25. Trotter A, Cismas I. Noma & Human Rights Law – A Doctrinal Legal Analysis with Focus on Burkina Faso, Niger and Laos, Background Study. 2020.

  26. Ver-Or N, Iregbu CK, Taiwo OO, Afeleokhai IT, Aza CG, Adaji JZ, et al. Retrospective characterization of Noma cases found incidentally across Nigeria during Outreach Programs for Cleft Lip from 2011–2020. Am J Trop Med Hyg. 2022;107(5):1132–6. https://doi.org/10.4269/ajtmh.22-0388.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Rakhorst HA, Gresnigt TM, van Kooten O, Nishikawa H, Fourie L, Mizen KD. Reconstruction of Noma Sequelae: a Surgical Treatment Algorithm developed from lessons from 210 cases in Ethiopia. Plast Reconstr Surg Glob Open. 2023;11(3):e4844. https://doi.org/10.1097/GOX.0000000000004844.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Kanmodi KK. Noma: a PubMed-based informetric analysis of a neglected tropical orofacial disease in Nigeria. Sudan J Paediatrics. 2023;23(1):42–59. https://doi.org/10.24911/SJP.106-1633358254.

    Article  Google Scholar 

  29. Srour L, Watt B, Phengdy B, Khansoulivong K, Harris J, Bennett C, Strobel M, Dupuis C, Newton P. Noma in Laos: Stigma of severe poverty in rural Asia. Am J Trop Med Hyg. 2008;78(4):539–42.

    Article  PubMed  Google Scholar 

  30. Gupta P, Chakravarty N. Penicillin in Cancrum Oris Complicating Kala-Azar. Ind Med Gaz. 1945;542–5.

  31. Mehrotra M. Cancrum Oris. A clinical survey of 20 cases. J Indian Med Assoc. 1966;147(11):555–7.

    Google Scholar 

  32. Ahlgren M, Funk T, Marimo C, Ndiaye C. Management of noma: practice competence and knowledge among healthcare workers in a rural district of Zambia. Glob Health Action. 2017;10(01):1–9. https://doi.org/10.1080/16549716.2017.1340253.

    Article  Google Scholar 

  33. Rowe D, McKerrow N, Uys A, Winstanley T. Cancrum Oris (noma) in a malnourished HIV-positive child from rural Kwazulu- Natal. South Afr J HIV Med. 2004;2004(16):45–6.

    Google Scholar 

  34. Chidzonga M. HIV Disease HIV / AIDS orofacial lesions in 156 Zimbabwean patients at referral oral and maxillofacial surgical clinics. Oral Dis. 2003;9:317–22.

    Article  CAS  PubMed  Google Scholar 

  35. Lazarus D. Cancrum Oris - a 35-year retrospective study. S Afr Med J. 1997;87:1379–82.

    CAS  PubMed  Google Scholar 

  36. Hassane A. Impact psycho-sociologique, Devenir et réinsertion sociale des patients victimes du Noma. Université Abdou Moumouni, Niamey, Niger; 2018.

  37. Ogbureke KUE, Noma. A neglected area for Research. J Dent Res. 2022;101(12):1424–9. https://doi.org/10.1177/00220345221100399.

    Article  CAS  PubMed  Google Scholar 

  38. Feller L, Lemmer J, Khammissa RAG. Is noma a neglected/overlooked tropical disease? Trans R Soc Trop Med Hyg. 2022;116(10):884–8. https://doi.org/10.1093/trstmh/trac043.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Galli A, Brugger C, Fürst T, Monnier N, Winkler MS, Steinmann P. Prevalence, incidence, and reported global distribution of noma: a systematic literature review. Lancet Infect Dis. 2022;22(8):e221–30. https://doi.org/10.1016/S1473-3099(21)00698-8.

    Article  PubMed  Google Scholar 

  40. Azañedo D, Visconti-Lopez FJ, Hernández-Vásquez A. A web of Science-based bibliometric analysis of global Noma publications. Trop Med Infect Dis. 2022;7(8):198. https://doi.org/10.3390/tropicalmed7080198.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Farley E, Mehta U, Srour ML, Lenglet A. Noma (cancrum oris): a scoping literature review of a neglected disease (1843 to 2021). PLoS Negl Trop Dis. 2021;15(12):e0009844. https://doi.org/10.1371/journal.pntd.0009844.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Ingrassia PL, Foletti M, Djalali A, Scarone P, Ragazzoni L, Della Corte F, Kaptan K, Lupescu O, Arculeo C, Von Arnim G, Friedl T. Education and training initiatives for crisis management in the European Union: a web-based analysis of available programs. Prehosp Disaster Med. 2014;29(2):115–26.

    Article  PubMed  Google Scholar 

  43. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. https://doi.org/10.1136/bmj.n71.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Hoy D, Brooks P, Woolf A, Blyth F, March L, Bain C, et al. Assessing risk of bias in prevalence studies: modification of an existing tool and evidence of interrater agreement. J Clin Epidemiol. 2012;65(9):934–9. https://doi.org/10.1016/j.jclinepi.2011.11.014.

    Article  PubMed  Google Scholar 

  45. Cao R, Ye W, Liu J, Chen L, Li Z, Ji H, et al. Dynamic influence of maternal education on height among Chinese children aged 0–18 years. SSM Popul Health. 2024;26:101672. https://doi.org/10.1016/j.ssmph.2024.101672.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Schwab S, Kreiliger G, Held L. Assessing treatment effects and publication bias across different specialties in medicine: a meta-epidemiological study. BMJ Open. 2021;11(9):e045942. https://doi.org/10.1136/bmjopen-2020-045942.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Thorlund K, Imberger G, Johnston BC, Walsh M, Awad T, Thabane L, et al. Evolution of heterogeneity (I2) estimates and their 95% confidence intervals in large meta-analyses. PLoS ONE. 2012;7(7):e39471. https://doi.org/10.1371/journal.pone.0039471.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Adeniyi SA, Awosan KJ. Pattern of noma (cancrum oris) and its risk factors in Northwestern Nigeria: a hospital-based retrospective study. Ann Afr Med. 2019 Jan-Mar;18(1):17–22. https://doi.org/10.4103/aam.aam_5_18.

  49. Bello SA, Adeoye JA, Oketade I, Akadiri OA. Estimated incidence and prevalence of noma in north central Nigeria, 2010–2018: a retrospective study. PLoS Negl Trop Dis. 2019;13(7):e0007574. https://doi.org/10.1371/journal.pntd.0007574.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Denloye OO, Aderinokun GA, Lawoyin JO, Bankole OO. Reviewing trends in the incidence of cancrum oris in Ibadan, Nigeria. West Afr J Med. 2003 Jan-Mar;22(1):26–9. https://doi.org/10.4314/wajm.v22i1.27974.

  51. Enwonwu CO. Epidemiological and biochemical studies of necrotizing ulcerative gingivitis and noma (cancrum oris) in Nigerian children. Arch Oral Biol. 1972;17(9):1357–71. https://doi.org/10.1016/0003-9969(72)90169-0.

    Article  CAS  PubMed  Google Scholar 

  52. Farley E, Oyemakinde MJ, Schuurmans J, Ariti C, Saleh F, Uzoigwe G, et al. The prevalence of noma in northwest Nigeria. BMJ Glob Health. 2020;5(4):e002141. https://doi.org/10.1136/bmjgh-2019-002141.

    Article  PubMed  PubMed Central  Google Scholar 

  53. Fieger A, Marck KW, Busch R, Schmidt A. An estimation of the incidence of noma in north-west Nigeria. Trop Med Int Health. 2003;8(5):402–7. https://doi.org/10.1046/j.1365-3156.2003.01036.x.

    Article  PubMed  Google Scholar 

  54. Fomete B, Agbara R, Adebayo ET, Adeola DS. Lip lesions: a 10-year retrospective analysis from a Nigerian tertiary healthcare institution. Sub-Saharan Afr J Med. 2018;5(4):123–8.

    Article  Google Scholar 

  55. Idigbe EO, Enwonwu CO, Falkler WA, Ibrahim MM, Onwujekwe D, Afolabi BM, Savage KO, Meeks VI. Living conditions of children at risk for noma: Nigerian experience. Oral Dis. 1999;5(2):156–62. https://doi.org/10.1111/j.1601-0825.1999.tb00082.x.

    Article  CAS  PubMed  Google Scholar 

  56. Oginni FO, Oginni AO, Ugboko VI, Otuyemi OD. A survey of cases of cancrum oris seen in Ile-Ife, Nigeria. Int J Paediatr Dent. 1999;9(2):75–80. https://doi.org/10.1046/j.1365-263x.1999.00110.x.

    Article  CAS  PubMed  Google Scholar 

  57. Osuji OO. Necrotizing ulcerative gingivitis and cancrum oris (noma) in Ibadan, Nigeria. J Periodontol. 1990;61(12):769–72. https://doi.org/10.1902/jop.1990.61.12.769.

    Article  CAS  PubMed  Google Scholar 

  58. Otuyemi OD, Adetunji T. Oral health problems in Nigerian children- A clinical study of 633 patients seen at Ile Ife, Nigeria. Nigeria Med Practitioner. 1992;22:3–7.

    Google Scholar 

  59. Otuyemi OD, Ogunbode E, Adetunji T, Olusile A, Folayan M. A study of acute necrotising ulcerative gingivitis in Nigerian children. Pediatr Dent J. 1998;8(1):133–7.

    Google Scholar 

  60. Adekeye EO, Ord RA. Cancrum oris: principles of management and reconstructive surgery. J Maxillofac Surg. 1983;11(4):160–70. https://doi.org/10.1016/s0301-0503(83)80040-x.

    Article  CAS  PubMed  Google Scholar 

  61. Adeola DS, Obiadazie AC. Protocol for managing acute cancrum oris in children: an experience in five cases. Afr J Paediatr Surg. 2009 Jul-Dec;6(2):77–81. https://doi.org/10.4103/0189-6725.54767.

  62. Aderinokun GA. Characteristics of children attending the Dental clinic (UCH), Ibadan: an indication of community awareness and attitude to oral health. Nig. Dent J. 1990;9:28–32.

    Google Scholar 

  63. Obiechina AE, Arotiba JT, Fasola AO. Cancrum Oris (noma): level of education and occupation of parents of affected children in Nigeria. Odontostomatol Trop. 2000;23(90):11–4.

    CAS  PubMed  Google Scholar 

  64. Oji C. Cancrum oris: its incidence and treatment in Enugu, Nigeria. Br J Oral Maxillofac Surg. 2002;40(5):406–9.

    Article  PubMed  Google Scholar 

  65. Omoregie OF, Okoh M. Oral ulcerative lesions: a review of 55 cases in Benin-City, Nigeria. Nig Dent J. 2013;21(1):3–7.

    Article  Google Scholar 

  66. Owobu T, Ojukwu BT, Azah OO, Sulaiman SA, Halilu M, Nnawuihe UC, Sanni AB. A review of noma cases in a tertiary hospital located in a conflict endemic region in Nigeria. Med Confl Surviv. 2022;38(4):295–306. https://doi.org/10.1080/13623699.2022.2114121.

    Article  PubMed  Google Scholar 

  67. Srour ML, Marck K, Baratti-Mayer D, Noma. Overview of a neglected disease and human rights violation. Am J Trop Med Hyg. 2017;96(2):268–74. https://doi.org/10.4269/ajtmh.16-0718.

    Article  PubMed  PubMed Central  Google Scholar 

  68. Taiwo JO. Effect of social class on the prevalence and severity of necrotising ulcerative gingivitis in Nigerian children. Afr J Med Med Sci. 1996;25(4):357–60.

    CAS  PubMed  Google Scholar 

  69. Mascitti M, Barlattani A, Togni L, Sampalmieri F, Favia G, Lo Muzio L, et al. Noma: a reappraisal in western countries - are HIV-negative immunocompetent adult patients safe? J Biol Regul Homeost Agents. 2019;33(3):957–61.

    CAS  PubMed  Google Scholar 

  70. Marck KW. A history of noma, the Face of Poverty. Plast Reconstr Surg. 2003;111(5):1702–7. https://doi.org/10.1097/01.PRS.0000055445.84307.3C.

    Article  PubMed  Google Scholar 

  71. Oxford Poverty & Human Development Initiative [Online]. The Global Multidimensional Poverty Index (MPI). https://www.dataforall.org/dashboard/ophi/index.php/. Accessed: 13 August 2023.

  72. World Health Organisation. Strengthening the healthcare system in north-east Nigeria - a priority for WHO. 22 May 2019. https://www.afro.who.int/news/strengthening-healthcare-system-north-east-nigeria-priority-who. Accessed: 13 October 2023.

  73. Amare M, Benson T, Fadare O, Oyeyemi M. Study of the determinants of chronic malnutrition in Northern Nigeria: quantitative evidence from the Nigeria Demographic and Health Surveys International Food Policy Research Institute (IFPRI) Working Paper 45 (September 2017). Food Nutr Bull. 2018;39(2):296–314. https://doi.org/10.1177/0379572118768568.

    Article  PubMed  Google Scholar 

  74. NBS and ICF International. Nigeria Demographic and Health Survey 2018; NBS and ICF int. USA: Rockville, MD; 2018.

    Google Scholar 

  75. Ophori EA, Tula MY, Azih AV, Okojie R, Ikpo PE. Current trends of immunization in Nigeria: prospect and challenges. Trop Med Health. 2014;42(2):67–75. https://doi.org/10.2149/tmh.2013

    Article  PubMed  PubMed Central  Google Scholar 

  76. Ibukun CO, Adebayo AA. Household food security and the COVID-19 pandemic in Nigeria. African development review = Revue africaine de developpement. 2021; 33,Suppl 1: S75-S87. https://doi.org/10.1111/1467-8268.12515.

  77. Gezimu W, Demeke A, Duguma A. Noma - a neglected disease of malnutrition and poor oral hygiene: a mini-review. SAGE Open Med. 2022;10:20503121221098110. https://doi.org/10.1177/20503121221098110.

    Article  PubMed  PubMed Central  Google Scholar 

  78. Du Toit A. Measles increases the risk of other infections. Nat Rev Microbiol. 2020;18:2. https://doi.org/10.1038/s41579-019-0301-7.

    Article  CAS  PubMed  Google Scholar 

  79. Tempest MN. Cancrum Oris. Br J Surg. 1966;53:949–69.

    Article  CAS  PubMed  Google Scholar 

  80. Eckstein A, Noma. Am J Dis Child. 1940;59:219–37.

    Google Scholar 

  81. Bhaskaram P. Measles & malnutrition. Indian J Med Res. 1995;102:195–9.

    CAS  PubMed  Google Scholar 

  82. Gone T, Lemango F, Eliso E, Yohannes S, Yohannes T. The association between malaria and malnutrition among under-five children in Shashogo District, Southern Ethiopia: a case-control study. Infect Dis Poverty. 2017;6(1):9. https://doi.org/10.1186/s40249-016-0221-y.

    Article  PubMed  PubMed Central  Google Scholar 

  83. Ogbureke KU, Noma. A neglected area for Research. J Dent Res. 2022;101(12):1424–9.

    Article  CAS  PubMed  Google Scholar 

  84. Gezimu W, Demeke A, Duguma A. Noma–a neglected disease of malnutrition and poor oral hygiene: a mini-review. SAGE Open Med. 2022;10:20503121221098110.

    Article  PubMed  PubMed Central  Google Scholar 

  85. Isah S, Amirtharajah M, Farley E, Semiyu Adetunji A, Samuel J, Oluyide B, et al. Model of care, Noma Children’s Hospital, northwest Nigeria. Trop Med Int Health. 2021;26(9):1088–97. https://doi.org/10.1111/tmi.13630.

    Article  PubMed  PubMed Central  Google Scholar 

  86. Feller L, Khammissa RAG, Altini M, Lemmer J. Noma (cancrum oris): an unresolved global challenge. Periodontol 2000. 2019;80(1):189–99. https://doi.org/10.1111/prd.12275.

    Article  PubMed  PubMed Central  Google Scholar 

  87. Muenchhoff M, Goulder PJ. Sex differences in pediatric infectious diseases. J Infect Dis. 2014;209(Suppl 3):S120–6. https://doi.org/10.1093/infdis/jiu232.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  88. Prado-Calleros HM, Castillo-Ventura BB, Jiménez-Escobar I, Ramírez-Hinojosa JP, López-Gómez A, García-de-la-Cruz M, et al. Noma and Noma-like disease in HIV/AIDS patients, a comorbid interaction: a systematic review. J Infect Dev Ctries. 2018;12(2):89–96. https://doi.org/10.3855/jidc.9716.

    Article  PubMed  Google Scholar 

  89. Folayan MO, Zuñiga RAA, Virtanen JI, Aly NM, Ezechi OC, Lusher J, et al. Risk indicators for oral ulcers among people living with HIV during the first wave of the pandemic: a cross sectional study. BMC Oral Health. 2023;23(1):600. https://doi.org/10.1186/s12903-023-03330-2.

    Article  PubMed  PubMed Central  Google Scholar 

  90. Eshima N, Tokumaru O, Hara S, Bacal K, Korematsu S, Karukaya S, Uruma K, Okabe N, Matsuishi T. Age-specific sex-related differences in infections: a statistical analysis of national surveillance data in Japan. PLoS ONE. 2012;7(7):e42261. https://doi.org/10.1371/journal.pone.0042261.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  91. Auluck A, Pai KM. Noma: life cycle of a devastating sore - case report and literature review. J Can Dent Assoc. 2005;71(10):757.

    PubMed  Google Scholar 

  92. Ashok N, Tarakji B, Darwish S, Rodrigues JC, Altamimi MA. A review on Noma: a recent update. Glob J Health Sci. 2015;8(4):53–9. https://doi.org/10.5539/gjhs.v8n4p53.

    Article  PubMed  PubMed Central  Google Scholar 

  93. Farley E, Amirtharajah M, Shaye DA. Noma, a neglected disease: prevention is better than cure. Curr Opin Otolaryngol Head Neck Surg. 2022;30(4):219–25. https://doi.org/10.1097/MOO.0000000000000819.

    Article  PubMed  Google Scholar 

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Acknowledgements

The authors would like to thank Nigerian Institute for Medical Research for providing support for the study.

Funding

Nigerian Institute of Medical Research provided partial funding.

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Authors and Affiliations

  1. Oral Health Initiative, Nigerian Institute of Medical Research, Yaba, Lagos, Nigeria

    George Uchenna Eleje, Folahanmi Tomiwa Akinsolu, Francisca Obiageri Nwaokorie, Joanne Marie Lusher, Maha El Tantawi, Abideen Olurotimi Salako, Oliver Chukwujekwu Ezechi & Morẹ́nikẹ́ Oluwátóyìn Foláyan

  2. Department of Obstetrics and Gynaecology, Nnamdi Azikiwe University Teaching Hospital Nnewi, Nnewi, Nigeria

    George Uchenna Eleje

  3. Effective Care Research Unit, Department of Obstetrics and Gynaecology, Nnamdi Azikiwe University, Awka (Nnewi Campus), P.M.B. 5001, Nnewi, Anambra State, Nigeria

    George Uchenna Eleje

  4. Department of Community Medicine and Primary Healthcare, Nnamdi Azikiwe University Teaching Hospital Nnewi, Nnewi, Nigeria

    Emeka Emmanuel Okoh

  5. Department of Obstetrics and Gynaecology, Havana Specialist Hospital, Surulere Lagos, Nigeria

    Emeka Philip Igbodike

  6. Department of Obstetrics and Gynaecology, Advanced Minimal Access Surgical Hospital, Kelina Hospital, Victoria Island, Lagos, Nigeria

    Emeka Philip Igbodike

  7. Nigerian Institute of Medical Research, Yaba, Lagos, Nigeria

    Folahanmi Tomiwa Akinsolu, Abideen Olurotimi Salako & Oliver Chukwujekwu Ezechi

  8. Department of Public Health, Faculty of Medicine, Lead City University, Ibadan, Nigeria

    Folahanmi Tomiwa Akinsolu, Abideen Olurotimi Salako & Oliver Chukwujekwu Ezechi

  9. Department of Medical Laboratory Science, University of Lagos, Lagos, Nigeria

    Francisca Obiageri Nwaokorie

  10. Provost’s Group, Regent’s University London, London, UK

    Joanne Marie Lusher

  11. Department of Pediatric Dentistry and Dental Public Health, Faculty of Dentistry, Alexandria University, Alexandria, 21527, Egypt

    Maha El Tantawi

  12. Department of Child Dental Health, Obafemi Awolowo University, Ile-Ife, Nigeria

    Morẹ́nikẹ́ Oluwátóyìn Foláyan

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  1. George Uchenna Eleje
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Contributions

Conceptualisation: GUE and MOF. Data curation: GUE, EEO, EPI, and FTA. Formal analysis: GUE Funding acquisition: GUE Investigation: All authors Methodology: All authors Project administration: All authors Resources: GUE Software: GUESupervision: GUE and MOF Validation: GUE, MOF, MET and FTA Visualisation: All authors Writing–original draft: All authors Writing– review and editing: All authors.All authors accessed and verified the data underlying the study.

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Correspondence to George Uchenna Eleje.

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Eleje, G.U., Okoh, E.E., Igbodike, E.P. et al. Prevalence and associated risk factors for noma in Nigerian children: a systematic review and meta-analysis. BMC Oral Health 24, 685 (2024). https://doi.org/10.1186/s12903-024-04451-y

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  • DOI: https://doi.org/10.1186/s12903-024-04451-y

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BMC Oral Health

ISSN: 1472-6831

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