A review of the quality of current diabetes clinical practice guidelines
Bibliographic record
Abstract
Objective To obtain an evaluation of current type 2 diabetes mellitus (T2DM) clinical practice guidelines. Methods Relevant guidelines were identified through a systematic search of MEDLINE/PubMed. Pan American Health Organization (PAHO) country offices were also contacted to obtain national diabetes guidelines in use but not published/available online. Overall, 770 records were identified on MEDLINE/PubMed for citations published from 2008 to 2013. After an initial screening of these records, 146 were found to be guidelines related to diabetes. Inclusion and exclusion criteria were used to further refine the search and obtain a feasible number of guidelines for appraisal. Guideline evaluation was conducted by health professionals using the Appraisal of Guidelines for Research and Evaluation (AGREE) II instrument, which was developed to address the issue of variability in guideline quality and assesses the methodological rigor and transparency in which a guideline is developed. A total of 17 guidelines were selected and evaluated. Results Ten guidelines scored ≥ 70% and seven guidelines scored ≥ 80%. The range was 21%–100%. The mean scores for Latin America and the Caribbean (LAC) country guidelines (n = 6) were compared to the mean scores for non-LAC country guidelines (n = 11). International guidelines consistently scored notably higher in all domains and overall quality than LAC guidelines. Conclusions Based on this study’s findings, it is clear that T2DM clinical practice guideline development requires further improvements, particularly with regard to the involvement of stakeholders and editorial independence. This issue is most apparent for LAC country guidelines, as their quality requires major improvement in almost all aspects of the AGREE II criteria. Continued efforts should be made to generate and update high-quality guidelines to improve the management of increasingly prevalent noncommunicable diseases, such as T2DM.
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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 | 0.048 | 0.209 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.028 | 0.033 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".