The PROCESS 2020 Guideline: Updating Consensus Preferred Reporting Of CasE Series in Surgery (PROCESS) Guidelines
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The PROCESS Guidelines were first published in 2016 and were last updated in 2018. They provide a structure for reporting surgical case series in order to increase reporting robustness and transparency, and are used and endorsed by authors, journal editors and reviewers alike. In order to drive forwards reporting quality, they must be kept up to date. As such, we have updated these guidelines via a DELPHI consensus exercise. The updated guidelines were produced via a DELPHI consensus exercise. Members from the previous DELPHI group were again invited, alongside editorial board members and peer reviewers of the International Journal of Surgery and the International Journal of Surgery Case Reports. An online survey was completed by this expert group to indicate their agreement with proposed changes to the checklist items. A total of 53 surgical experts agreed to participate and 49 (92%) completed the survey. The responses and suggested modifications were incorporated into the previous 2018 guidelines. There was a high degree of agreement amongst the PROCESS Group, with all but one of the PROCESS items receiving over 70% of scores ranging 7–9. A DELPHI consensus exercise was completed and an updated and improved PROCESS Checklist is now presented. • This was a DELPHI consensus exercise to update the PROCESS guidelines. • Of the invited surgical experts, 49 (92%) completed the survey. There was a high level of agreement in the PROCESS Group. • The survey responses were incorporated as modifications and an improved PROCESS Checklist is now presented for use.
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.
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 | 0.009 | 0.229 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 it