Evidence on reporting guidelines for surgical technique in clinical disciplines: a scoping review protocol
Bibliographic record
Abstract
BACKGROUND: The reporting of surgical techniques is of mixed quality, with most at a very minimal level. Reporting guidelines that could be applied to guide surgical technique reporting vary in methodology for development, discipline coverage, dimension coverage and detail requested. However, a scoping review that could indicate the gaps and efforts needed in surgical technique reporting guidelines is lacking and warranted. This study aims to design a methodological rigour protocol to guide the development of a scoping review of surgical technique reporting guidelines. METHODS: This protocol is designed following the 2020 manual proposed by the Joanna Briggs Institute. To further ensure the soundness of the protocol, we also included multidisciplinary professionals (including methodologists, clinicians, and journal editors) to refine the protocol. DISCUSSION: Seven key steps for developing the scoping review are identified and presented in detail, including (I) identifying the research questions; (II) inclusion criteria; (III) search strategy; (IV) source of evidence selection; (V) data extraction; (VI) analysis of the evidence; and (VII) presentation of the results. Guided by this protocol, the subsequent scoping review will inform us the overview of surgical technique reporting guidelines and precisely guide our direction and next steps in improving surgical technique reporting guidelines. TRIAL REGISTRATION: This protocol is not registered as the PROSPERO database only accepts registration of systematic review protocols while does not accept registration of scoping review protocols.
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 | 0.595 | 0.773 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.039 | 0.019 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".