Evaluation of the use of GRADE in dentistry systematic reviews and its impact on conclusions: a protocol for a methodological study
Bibliographic record
Abstract
BACKGROUND: There is a growing body of evidence of systematic reviews (SRs) with varying degrees of methodological quality. The Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) approach allows SR authors to assess the certainty of the evidence they found and transparently relay their conclusions. As there appears to be infrequent utilization of GRADE in the field of dentistry, to identify the impact of GRADE, the aim of this study is to evaluate the use of GRADE in the dental literature and determine whether SRs that use GRADE differ from those that do not with respect to their conclusions. METHODS/DESIGN: We will search Ovid MEDLINE for SRs published from 2016 to the present. We will conduct both screening and data extraction independently and in duplicate and use pre-piloted, standardized forms for data extraction. We will determine the frequency of the use of GRADE and the varying levels of certainty in the current literature and evaluate whether GRADE is being used appropriately. We will also evaluate whether SRs not using GRADE differ from those that use GRADE with regard to methodological quality. We will also determine whether the conclusions of SRs that do not use GRADE would change had GRADE been utilized. Additionally, we will evaluate whether SRs using GRADE are more likely to formulate appropriate conclusions compared to SRs that do not use it. DISCUSSION: This study will investigate the frequency of GRADE assessments in dentistry SRs and the impact of GRADE assessments on the conclusions of a SR. It has important implications for both SR authors and users of this type of literature.
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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 | Metaresearch Domain: Methods · Genre: Protocol About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | Metaresearch Domain: Methods · Genre: Protocol About the Canadian research system: no · About a Canadian topic: no | Other design | 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 | 0.680 | 0.652 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.017 | 0.004 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".