The quality of clinical practice guidelines for management of pediatric type 2 diabetes mellitus: a systematic review using the AGREE II instrument
Bibliographic record
Abstract
AIMS: Pediatric type 2 diabetes mellitus (T2DM) is a relatively new disease with increasing incidence corresponding to the obesity epidemic among youth. It is important for clinicians to have access to high-quality clinical practice guidelines (CPGs) for appropriate management of pediatric patients with T2DM. The objective of this systematic review was to evaluate overall quality of CPGs for the management of pediatric T2DM using the Appraisal of Guidelines for Research and Evaluation II (AGREE II) tool. METHODS: We searched MEDLINE, Embase, CINAHL, Trip, National Guideline Clearinghouse, and grey literature to identify eligible CPGs. We also searched the webpages of national and international diabetes and pediatric organizations globally. We included CPGs from national and international diabetes and pediatric associations that were published as standalone guidelines for T2DM in children and adolescents (2-18 years of age). We also included pediatric and adult guidelines for type 1 diabetes if they included a section addressing T2DM management in children and adolescents. We retrieved the two most recent guidelines from each organization when available to assess change in quality over time. We excluded individual studies and systematic reviews that made treatment recommendations as well as CPGs that were developed for a single institution. RESULTS: We included 21 unique CPGs in this systematic review. Of the included guidelines, 12 were developed or updated between 2012 and 2014. Five of all included CPGs were specific to pediatric populations. The analysis revealed that "Rigour of Development" (mean 45%, SD 28.68) and "Editorial Independence" (mean 45%, SD 35.19) were the lowest scoring domains on the AGREE II for the majority of guidelines, whereas "Clarity of Presentation" was the highest scoring domain (mean 72%, SD 18.89). CONCLUSIONS: Overall, two thirds of the pediatric T2DM guidelines were moderate to low quality and the remaining third ranked higher in quality. Low quality was especially due to the scores for the "Rigour of Development" domain, which directly measures guideline development methodology. It is important that future guidelines and updates of existing guidelines improve the methodology of development and quality of reporting in order to appropriately guide physicians managing children and adolescents with T2DM. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42016034187.
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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 | 0.102 | 0.338 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.012 | 0.015 |
| Bibliometrics | 0.031 | 0.035 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.003 | 0.003 |
| 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".