Guidelines about physical activity and exercise to reduce cardiometabolic risk factors: protocol for a systematic review and critical appraisal
Bibliographic record
Abstract
INTRODUCTION: Physical activity can prevent a wide range of diseases, including highly prevalent conditions such as heart disease, diabetes and associated cardiometabolic disorders. Numerous guidelines for the prescription of physical activity and exercise to promote general health and prevent disease are released each year, but the quality of these guidelines is currently unknown. This systematic review and critical appraisal of physical activity and exercise guidelines aims to summarise the current status and quality of these guidelines to provide suggestions to improve the development of future guidelines in this area. METHODS AND ANALYSIS: We will conduct a systematic review of guidelines in Ovid MEDLINE(R) and Epub Ahead of Print, In-Process & Other Non-Indexed Citations, and Daily, Ovid EMBASE, Ovid Cochrane Central Register of Controlled Trials, Ovid Cochrane Database of Systematic Reviews and Scopus databases published from database 2000 through 23 October 2019, written in English for the use of physical activity and exercise for the prevention of cardiometabolic disease and related risk factors in otherwise healthy individuals. We will also search the grey literature for additional eligible documents. We will use the Appraisal of Guidelines for Research and Evaluation II tool to assess the quality of eligible recommendations from all included guidelines, as well as perform exploratory analyses on guideline development variables. ETHICS AND DISSEMINATION: As a protocol for the review and critical appraisal of published documents, no potential ethical considerations are discussed. The protocol will guide the development of the review, which will be disseminated to relevant journals for publication. PROSPERO REGISTRATION NUMBER: CRD42019126364.
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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 | 0.161 | 0.270 |
| Meta-epidemiology (narrow) | 0.009 | 0.007 |
| Meta-epidemiology (broad) | 0.020 | 0.017 |
| Bibliometrics | 0.015 | 0.018 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.012 | 0.012 |
| Open science | 0.006 | 0.007 |
| Research integrity | 0.012 | 0.013 |
| Insufficient payload (model declined to judge) | 0.063 | 0.014 |
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".