Influence of Inflammatory Bowel Disease on Patients Undergoing Primary Total Joint Arthroplasty: A Systematic Review and Meta-analysis of Cohort Studies
Bibliographic record
Abstract
Background: Inflammatory bowel disease (IBD) is recognized as a global disease. Although IBD is commonly diagnosed in the young male population, it also occurs in patients aged >60 years. With the advent of an aging society, it is expected that an increasing number of patients with IBD will undergo total joint arthroplasty (TJA). Purpose: To assess the impact of IBD on the risk of complications and revision as well as the length of stay (LOS) and treatment costs after TJA. Study Design: Systematic review; Level of evidence, 4. Methods: Utilizing PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, articles were searched in the PubMed/MEDLINE, Embase, and Cochrane Library databases from the date of inception to August 31, 2022, using the following search terms: (1) “Inflammatory Bowel Diseases”[MeSH] and (2) “Arthroplasty, Replacement”[MeSH]. The study quality was scored according to the Newcastle-Ottawa Scale. A fixed-effects or random-effects model was used to calculate odds ratios or mean differences with 95% confidence intervals. Results: Of 232 studies initially retrieved, 8 retrospective cohort studies consisting of 33,758 patients with IBD and 386,238 patients without IBD were included. Patients with IBD had a higher incidence of complications ( P < .05), readmission and revision ( P < .05), experienced a longer LOS ( P < .01), and paid higher treatment costs after TJA compared with patients without IBD . Conclusion: The results of our review demonstrated that IBD increased the risk of postoperative complications, prolonged the LOS, and increased treatment costs.
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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 | 0.018 | 0.041 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.040 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 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; 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".