The Quality and Clinical Applicability of Recommendations in Ostomy Guidelines: A Systematic Review
Bibliographic record
Abstract
Aim: To systematically search ostomy clinical practice guidelines, critically assess their quality and clinical applicability of recommendations, and summarize the recommendations. Design: Systematic review. Data Sources: The PubMed, ProQuest and CINAHL databases, eight guideline databases, and three ostomy institution websites were searched on September 3, 2021. Review Methods: Appraisal of Guidelines for Research and Evaluation II (AGREE II) and AGREE Recommendation EXcellence (AGREE-REX) were used to assess the guideline. Results: The initial search identified 1475 documents. Of these, 27 full-text documents were reviewed. Finally, 10 guidelines were included. Among these, the 2019 Registered Nurses' Association of Ontario (RNAO) guidelines had the highest total scores using AGREE II and AGREE-REX. The 2019 National Institute for Health and Care Excellence (NICE) and 2018 European Hernia Society (EHS) were also ranked as high-quality and evaluated as "recommended." The median of the "applicability" domain was the lowest (45%) among the six AGREE II domains. The median of the "values and preferences" domain was the lowest (38%) among the three AGREE-REX domains. In total, 172 recommendations were summarized and parastomal hernia received the most attention among the recommendations. Conclusion: The quality of the 10 clinical practice guidelines varied widely. The three identified high-quality guidelines might be appropriate first choices in daily ostomy care and management practice and can be tailored to the local context. Ostomy guidelines require further improvement in the "applicability" and "values and preferences" domains. No Patient or Public Contribution: This review only searched and evaluated relevant documents, so such details do not apply to this review.
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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".