Methodological assessment and overall confidence in the results of systematic reviews with meta‐analyses focusing on traumatic dental injuries: A cross‐sectional study
Bibliographic record
Abstract
BACKGROUND/AIMS: High methodological quality is required to interpret results of systematic reviews (SRs) in a reliable and accurate manner. The primary aim of this study was to appraise the methodologic quality of SRs with meta-analysis within the field of traumatic dental injuries using the A MeaSurement Tool to Assess systematic Reviews (AMSTAR) 2 tool and assess overall confidence in their results. A secondary aim was to identify potential predictive factors associated with methodological quality. MATERIALS AND METHODS: SRs with meta-analyses published in English in the field of traumatic dental injuries from inception to March 2023 were identified. The methodological quality of the included reviews was assessed using the AMSTAR 2 checklist. Two independent evaluators scored each AMSTAR 2 item as "yes" if it was adequately addressed, "partial yes" if it was partially addressed, and "no" if it was not addressed. The overall confidence in the results of each review was classified as "High," "Moderate," "Low," or "Critically low." Using multiple regression, the relationship between five predictor variables (journal impact factor, year of publication, number of authors, journal adherence to Preferred Reporting Items for Systematic reviews and Meta-analyses [PRISMA] guidelines and a priori protocol registration) and the total AMSTAR 2 scores was analyzed. The p-value was 5%. RESULTS: Forty-one SRs were included. The overall confidence in the results of 13 reviews was categorized as "Critically low," 18 as "Low," 3 as "Moderate" and 7 as "High." Among the five predictor variables analyzed statistically, impact factor of the journal and year of publication significantly influenced the total AMSTAR 2 scores. The number of authors, adherence to PRISMA guidelines, and a priori protocol registration had no significant impact on AMSTAR 2 scores. CONCLUSION: The overall confidence in the results of SRs with meta-analysis within the field of traumatic dental injuries was "Low" or "Critically Low" in the vast majority of studies (31 of 41). SRs with meta-analyses published in journals with higher impact factors and more recent publications had significantly higher methodological quality.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | MetaresearchMeta-epidemiology (broad) Domain: Methods · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | MetaresearchMeta-epidemiology (broad) Domain: Methods · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | high |
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.239 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.032 | 0.005 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".