The association between apical periodontitis and adverse pregnancy outcomes: a systematic review
Bibliographic record
Abstract
BACKGROUND: The association between adverse pregnancy outcomes (APOs) and maternal apical periodontitis remains unclear as it has not been examined rigorously or reviewed systematically. OBJECTIVE: To systematically review and critically evaluate the available evidence on the association of maternal apical periodontitis with several APOs. METHODS: A literature search was conducted using the following electronic databases: Clarivate Analytics' Web of Science, Scopus, PubMed, and Cochrane Central Register of Controlled Trials (CENTRAL), from inception to 25 February 2021, with no language restrictions. Observational studies including longitudinal clinical trials, cohort, case-control and cross-sectional studies of prospective and retrospective design were included. Articles with duplicate or overlapping results, abstract-only papers, case reports, case series, animal studies and reviews were excluded. Two independent reviewers were involved in study selection, data extraction and appraising the included studies; disagreements were resolved by a third reviewer. The Newcastle-Ottawa Scale (NOS) and the adapted form of the NOS were used to assess the quality for case-control and cross-sectional studies, respectively. RESULTS: Two case-control and one cross-sectional study were included in the current review. The included studies were published between 2015 and 2017, with a total of 1187 participating individuals with an approximate age range of 15 to 40 years. As the included studies reported different outcomes, the heterogeneity of data prevented a meta-analysis being undertaken. The overall quality of the evidence was 'Fair' for two out of three included studies, while one study was categorized as 'Good'. DISCUSSION: Two out of three included primary studies had a substantial number of methodological inconsistencies and flaws, and therefore caution should be exercised in interpreting the results of this systematic review because several important covariates were not considered in the original investigations. CONCLUSION: Based on a limited volume and 'Fair' and 'Good' quality of evidence, a positive association between maternal apical periodontitis and APOs was observed. However, more 'Good' quality clinical studies are needed to confirm the results of the current review. FUNDING: None REGISTRATION: PROSPERO database (CRD42-2191987).
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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 | 0.012 | 0.052 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.008 |
| Bibliometrics | 0.013 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".