Enhanced recovery after surgery in patients after hip and knee arthroplasty: a systematic review and meta-analysis
Bibliographic record
Abstract
PURPOSE: Enhanced recovery after surgery (ERAS) was characterized as patient-centered, evidence-based, multidisciplinary team-developed routes for a surgical speciality and institution to improve postoperative recovery and attenuate the surgical stress response. However, evidence of their effectiveness in osteoarthroplasty remains sparse. This study aimed to develop an ERAS standard and evaluate the significance of ERAS interventions for postoperative outcomes after primary total hip arthroplasty (THA) or total knee arthroplasty (TKA). METHODS: We searched Medline, Embase, Cochrane databases, and Clinicaltrials.gov for randomized controlled trials, cohort studies, and case-control studies until 24 February 2023. All relevant data were collected from studies meeting the inclusion criteria. Two reviewers independently assessed the risk of bias and extracted data. The primary outcome was the length of stay (LOS), postoperative complications, and readmission rate. The secondary outcomes included transfusion rate, mortality rate, visual analog score (VAS), the Western Ontario and McMaster University Osteoarthritis Index (WOMAC), Short Form 36 (SF-36) bodily pain (SF-36 BP), SF-36 physical function (SF-36 PF), oxford knee score, and range of motion (ROM). RESULTS: A total of 47 studies involving 76 971 patients (ERAS group: 29 702, control group: 47 269) met the inclusion criteria and were included in the meta-analysis. The result showed that ERAS could significantly shorten the LOS (WMD = -2.65, P < .001), reduce transfusion rate (OR = 0.40, P < .001), and lower 30-day postoperative mortality (OR = 0.46, P = .01) without increasing postoperative complications or readmission rate. Apart from that, ERAS may decrease patients' VAS (WMD = -0.88, P = .01) while improving their ROM (WMD = 6.65, P = .004), SF-36 BP (WMD = 4.49, P < .001), and SF-36 PF (WMD = 3.64, P < .001) scores. However, there was no significant difference in WOMAC, oxford knee score between the ERAS and control groups.Furthermore, we determined that the following seven components of the ERAS program are highly advised: avoid bowel preparation, PONV prophylaxis, standardized anesthesia, use of local anesthetics for infiltration analgesia and nerve blocks, tranexamic acid, prevent hypothermia, and early mobilization. CONCLUSION: Our meta-analysis suggested that the ERAS could significantly shorten the LOS, reduce transfusion rate, and lower 30-day postoperative mortality without increasing postoperative complications or readmission rate after THA and TKA. Meanwhile, ERAS could decrease the VAS of patients while improving their ROM, SF-36 BP, and SF-36 PF scores. Finally, we expect future studies to utilize the seven ERAS elements proposed in our meta-analysis to prevent increased readmission rate for patients with THA or TKA.
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 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 | 0.011 | 0.024 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.036 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".