Skip to main content

Table 1 Multilevel logistic regression considering the results from different diagnostic strategies for decision to restore the dental surfaces and occurrence of a new operative intervention during the follow-up

From: Negligible therapeutic impact, false-positives, overdiagnosis and lead-time are the reasons why radiographs bring more harm than benefits in the caries diagnosis of preschool children

Explanatory variables

Univariate analyses

Multiple model 1**

Multiple model 2***

Unadjusted OR (95%CI)

Adjusted OR (95%CI)

Adjusted OR (95%CI)

Diagnostic results

Vis: positive; Rad: positive

1.00

1.00

1.00

Vis: positive; Rad: negative

0.78 (0.20–3.04)

0.85 (0.21–3.36)

0.85 (0.21–3.39)

Vis: negative; Rad: positive

4.52* (1.95–10.49)

6.12* (2.54–14.77)

8.62* (2.72–27.33)

Vis: negative; Rad: negative

0.09* (0.05–0.14)

0.13* (0.07–0.21)

0.23* (0.06–0.97)

Treatment performed

Non-restored

1.00

 

1.00

Restored

11.43* (7.28–17.92)

 

1.87 (0.49–7.16)

Dental surface

Proximal

1.00

1.00

1.00

Occlusal

1.91* (1.41–2.59)

1.28 (0.90–1.83)

1.29 (0.90–1.84)

Type of tooth

1st molar

1.00

1.00

1.00

2nd molar

0.52* (0.33–0.81)

0.55* (0.34–0.90)

0.55* (0.34–0.90)

Caries experience

dmf-s = 0–3

1.00

1.00

1.00

dmf-s > 3

8.71* (4.20–18.06)

5.35* (2.50–11.44)

5.37* (2.50–11.54)

Child’s age

3 or 4 years old

1.00

1.00

1.00

5 or 6 years old

0.69 (0.33–1.43)

0.43* (0.21–0.85)

0.42* (0.21–0.85)

  1. OR, odds ratio; 95%CI, 95% confidence intervals; Vis, visual inspection method; Rad, radiographic method; dmf-s, number of dental surfaces from primary teeth decayed, missed or filled
  2. *Association statistically significant (p < 0.05)
  3. **Multiple model 1 included only the confounding variables according to our predetermined conceptual framework
  4. ***Multiple model 2 included confounding variables and treatment performed as a possible mediator for failure occurrences