ASSESSMENT OF ASSOCIATION BETWEEN MATERNAL PERIODONTITIS AND PRE-TERM LOW BIRTH WEIGHT INFANTS IN INDIAN POPULATION - A SYSTEMATIC REVIEW AND META-ANALYSIS
Bibliographic record
Abstract
Abstract Aim: To review the existing scientific literature and provide a novel evidence on association between maternal periodontitis and Pre-Term Low Birth Weight (PTLBW) infants in Indian scenario. Methods: Review was carried out in compliance with preferred reporting items for Systematic Reviews and Meta-Analysis (PRISMA) criteria and registered in PROSPERO – CRD42023451699. Electronic databases were searched for studies having sufficient data on relation between maternal periodontitis and PTLBW infants and periodontal parameters like, plaque index (PI), probing depth (PD), clinical attachment loss (CAL), severity of bleeding index (BI) between cases (mothers with periodontitis) and controls (Mothers without periodontitis) was compared. Newcastle Ottawa Scale (NOS) was used to evaluate the quality of the included for dichotomous and continuous outcomes, the odds ratio and standardized mean difference (SDM) were employed as summary statistics, using the random effect model and p value <0.05 as statistically significant. Results: Fourteen studies after the evaluation of quantitative analysis showed that there was a significant association between cases and controls with regards to specific parameters like bleeding index, plaque index, probing pocket depth and CAL. Out of fourteen studies included in this eleven studies satisfied the eligibility requirements were included in the qualitative synthesis and qualified for meta-analysis. When compared to controls, cases had 0.89 times the chances (Odds ratio) of being linked with PTLBW newborns, but all of the evaluated periodontal parameters were substantially better in controls than in cases (p 0.05), according to this meta-analysis. The funnel plot used to analyze publication bias revealed a symmetric distribution and no evidence of systematic heterogeneity. Conclusion: Periodontitis in pregnant patients might be viewed as a significant risk factor for preterm birth and low birth weight. Preterm low birth weight birth is associated to maternal periodontitis in Indian population.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.034 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.026 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".