Appraisal of clinical practice guidelines for management of paediatric type 2 diabetes mellitus using the AGREE II instrument: a systematic review protocol
Bibliographic record
Abstract
BACKGROUND: The prevalence of type 2 diabetes mellitus (T2DM) in children and adolescents is increasing. This has spurred the development and publication of clinical practice guidelines (CPGs) for the management of paediatric T2DM. Given the long-term complications of T2DM, optimal management is important to prevent or delay these complications. However, the quality of published CPGs has not yet been empirically evaluated. Our objective is to systematically appraise all published CPGs for the management of T2DM in children and adolescents. METHODS: We will identify all published CPGs that address T2DM in children and adolescents through MEDLINE, Embase, CINAHL, Trip, and the National Guideline Clearinghouse and will screen diabetes and paediatric societies and associations' websites. Search records will be screened in duplicate for inclusion. Grey literature will be covered by systematically searching publications of all relevant diabetes societies and associations and other health organizations for CPGs that meet our inclusion criteria. CPGs deemed eligible for inclusion will be retrieved. Quality assessment will be conducted using the Appraisal of Guidelines for Research and Evaluation II (AGREE II) tool by a team of four appraisers. Scaled scores of the AGREE II will be used to gauge the overall quality of CPGs. DISCUSSION: The results of this review will be disseminated through presentations at local, national, and international conferences and publication in a peer-reviewed journal. The results of this review can help improve the reporting of future guidelines, inform decisions of policy-makers to endorse CPGs, and affect the choice of guideline use in clinical practice. 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 | 0.143 | 0.183 |
| Meta-epidemiology (narrow) | 0.006 | 0.006 |
| Meta-epidemiology (broad) | 0.019 | 0.017 |
| Bibliometrics | 0.022 | 0.021 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.007 | 0.008 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.043 | 0.007 |
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".