An extension of the RIGHT statement for introductions and interpretations of clinical practice guidelines: RIGHT for INT
Bibliographic record
Abstract
OBJECTIVE: The purpose of the extension of the RIGHT Statement for INTroductions and INTerpretations of Clinical Practice Guidelines (RIGHT for INT) is to promote the development of comprehensive and clear articles that introduce and interpret clinical practice guidelines. METHODS: The RIGHT for INT checklist was developed following methods recommended by the EQUATOR Network. The development process included three stages. In the first stage, a multidisciplinary team of experts was recruited by email and WeChat and further divided into three groups (a steering group, a consensus group, and a secretariat group); in the second stage, the initial items were collected by literature review and brainstorming; and in the third stage, the final items were formed through a Delphi survey and expert consultation. RESULTS: A total of 40 initial items were collected through literature review and brainstorming. A final checklist of 27 items was formed after the Delphi survey and expert consultation. The RIGHT for INT checklist contains items on the following 10 topics: title, abstract, background of guideline interpretation, background of guideline development, guideline development methodology, recommendations, strengths, and limitations, implications for local guidelines and clinical research, dissemination and implementation, and reporting quality. CONCLUSION: The RIGHT for INT checklist provides guidance for guideline interpreters on how to introduce and interpret clinical practice guidelines in a scientific and comprehensive manner.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Metaresearch Domain: Reporting · Genre: Methods About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | Metaresearch Domain: Reporting · Genre: Methods About the Canadian research system: no · About a Canadian topic: no | Not applicable | high |
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 | 0.028 | 0.333 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
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".