Quality evaluation of guidelines on genetic screening, surveillance and management of hereditary colorectal cancer
Bibliographic record
Abstract
BACKGROUND: We examined the methodological quality of guidelines on colorectal cancer genetic susceptibility syndromes. METHODS: PubMed, EMBASE, and Google were searched up to July 2010. Adjourned guidelines in English were included. The Appraisal of Guidelines, Research and Evaluation (AGREE) instrument was used to assess their quality, and the reported evidence base of the guidelines was evaluated. RESULTS: The search yielded 17 eligible guidelines: 11 were developed by independent associations, while 6 had national\state endorsement. Only three guidelines performed satisfactorily, achieving a score >50% in all 6 AGREE domains. Mean standardized scores for the 6 AGREE domains were: 'scope and purpose', 83.9 ± 22.5%; 'stakeholder involvement', 35.6 ± 24.9%; 'rigour of development', 48.6 ± 25.3%; 'clarity and presentation', 71.6 ± 19.3%; 'applicability', 33.8 ± 30.1%; 'editorial independence', 42.2 ± 39.7%. Guidelines with national endorsement performed better in all the domains, with a statistically significant difference in three domains. Fifteen guidelines out of 17 were found to be based on research evidence. CONCLUSIONS: There is scope, in many areas, for improving the guidelines analysed, among which are the involvement of various professional figures and patients' representatives, and policies for their application. The AGREE instrument is a useful tool and could also be used profitably by guideline developers to improve the quality of recommendations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.041 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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, unvalidatedMachine predicted; a candidate call from one teacher head, 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".