Cochrane in CORR ®: Pharmacological Interventions for the Prevention of Bleeding in People Undergoing Elective Hip or Knee Surgery: A Systematic Review and Network Meta-analysis
Bibliographic record
Abstract
1Research Institute of St. Joseph's Hamilton, Hamilton, Ontario, Canada 2Department of Health Research Methods, McMaster University, Hamilton, Ontario, Canada 3Department of Surgery, McMaster University, Hamilton, Ontario, Canada K. Madden, McMaster University, T3219-50 Charlton Ave E, Hamilton, ON L8N 4A6, Canada, Email: [email protected] A note from the Editor-in-Chief: We are pleased to publish the next installment of "Cochrane in CORR®", our partnership between CORR®, The Cochrane Collaboration®, and McMaster University's Evidence-Based Orthopaedics Group. In this column, researchers from McMaster University and other institutions will provide expert perspective on an abstract originally published in The Cochrane Library that we think is especially important. We welcome reader feedback on our editorials as we do on all of our columns and articles; please send your comments to [email protected]. Gibbs VN, Champaneria R, Sandercock J, et al. Pharmacological interventions for the prevention of bleeding in people undergoing elective hip or knee surgery: a systematic review and network meta-analysis. Cochrane Syst Database Rev. 2024;1:CD013295. The authors certify that there are no funding or commercial associations (consultancies, stock ownership, equity interest, patent/licensing arrangements, etc.) that might pose a conflict of interest in connection with the submitted article related to the author or any immediate family members. All ICMJE Conflict of Interest Forms for authors and Clinical Orthopaedics and Related Research® editors and board members are on file with the publication and can be viewed on request. The opinions expressed are those of the writers, and do not reflect the opinion or policy of CORR® or The Association of Bone and Joint Surgeons®. Cochrane Reviews are regularly updated as new evidence emerges and in response to feedback, and the Cochrane Library (http://www.thecochranelibrary.com) should be consulted for the most recent version of the review. Copyright© 2024 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd. This Cochrane in CORR® column refers to the abstract available at: DOI: 10.1002/14651858.CD013295.pub2.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.032 | 0.178 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.017 | 0.012 |
| Bibliometrics | 0.016 | 0.024 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.028 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".