Additional file 1 of Non-steroidal anti-inflammatory drugs and bone healing in animal models—a systematic review and meta-analysis
Bibliographic record
Abstract
Additional file 1: Table S1. Systematic review and meta-analysis registered protocol in SYRCLE website: https://www.radboudumc.nl/en/research/technology-centers/animal-research-facility/systematic-review-center-for-laboratory-animal-experimentation/protocols NSAIDs effect on bone healing after bone fracture in animal models. Table S2. Search strategy. Table S3. SYRCLE’s tool for assessing the risk of bias (Hooijman et al 2014) (1). Table S4. Study characteristics. Table S5. Subgroup analysis by species regarding the effect of NSAID administration vs control on maximum force to fracture outcome. Table S6. Subgroup analysis by sex regarding the effect of NSAID administration vs control on maximum force to fracture outcome. Table S7. Subgroup analysis by age regarding the effect of NSAID administration vs control on maximum force to fracture outcome (1= <8 wks, 2=8-16wks, >16wks, 4=not mentioned). Table S8. Subgroup analysis by type pf NSAID regarding the effect of NSAID administration vs control on maximum force to fracture outcome. Table S9. Subgroup analysis by time point regarding the effect of NSAID administration vs control on maximum force to fracture outcome (1=<21days, 2=21-48days, 3=>48days). Table S10. Subgroup analysis by bone fracture site regarding the effect of NSAID administration vs control on maximum force to fracture outcome. Table S11. Subgroup analysis by species regarding the effect of NSAID administration vs control on stiffness to fracture outcome. Table S12. Subgroup analysis by sex regarding the effect of NSAID administration vs control on stiffness to fracture outcome. Table S13. Subgroup analysis by age regarding the effect of NSAID administration vs control on stiffness to fracture outcome (1= <8 wks, 2=8-16wks, >16wks, 4=not mentioned). Table S14. Subgroup analysis by type of NSAID regarding the effect of NSAID administration vs control on stiffness to fracture outcome. Table S15. Subgroup analysis by type of time point regarding the effect of NSAID administration vs control on stiffness to fracture outcome (1=<21days, 2=21-48days, 3=>48days). Table S16. Subgroup analysis by bone fracture site regarding the effect of NSAID administration vs control on stiffness to fracture outcome. Table S17. Subgroup analysis by species regarding the effect of NSAID administration vs control on work to failure outcome. Table S18. Subgroup analysis by sex regarding the effect of NSAID administration vs control on work to failure outcome. Table S19. Subgroup analysis by age regarding the effect of NSAID administration vs control on work to failure outcome (1= <8 wks, 2=8-16wks, >16wks, 4=not mentioned). Table S20. Subgroup analysis by type of NSAID regarding the effect of NSAID administration vs control on work to failure outcome. Table S21. Subgroup analysis by time point regarding the effect of NSAID administration vs control on work to failure outcome (1=<21days, 2=21-48days, 3=>48days). Table S22. Subgroup analysis by bone fracture site the effect of NSAID administration vs control on work to failure outcome. Table S23. Subgroup analysis by species the effect of NSAID administration vs control on histomorphometric outcome. Table S24. Subgroup analysis by sex the effect of NSAID administration vs control on histomorphometric outcome. Table S25. Subgroup analysis by age the effect of NSAID administration vs control on histomorphometric outcome (1= <8 wks, 2=8-16wks, >16wks, 4=not mentioned). Table S26. Subgroup analysis by type of NSAID the effect of NSAID administration vs control on histomorphometric outcome. Table S27. Subgroup analysis by time point the effect of NSAID administration vs control on histomorphometric outcome (1=<21days, 2=21-48days, 3=>48days). Table S28. Subgroup analysis by bone fracture site the effect of NSAID administration vs control on histomorphometric outcome.
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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 | 0.006 | 0.073 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.007 | 0.011 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.768 | 0.034 |
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".