Acute post surgical pain may result in chronic post surgical pain: A systemic review and meta analysis
Bibliographic record
Abstract
OBJECTIVE: Chronic post surgical pain (CPSP) occurres frequently (from 10% to 50%) and has serious effects on the mood and activities of patients. This study was designed to evaluate the relationship between acute post surgical pain and chronic post surgical pain. METHODS: Electronic search databases included PubMed, EMBASE, Cochrane database and web of science. 9-stars Newcastle-Ottawa Scale was used to evaluate the quality of included studies. The odds ratio was used as a summary statistic index. Heterogeneity was assessed with I (2). RESULTS: We collected data from 4 case-control studies with or without chronic post surgical pain and compared those with patients who had acute post surgical pain or not. The age, sex was controlled as confounding factors. We collected 765 patients with chronic post surgical pain, of which 38.82% used to have acute post surgical pain. The risk ratio of patients with acute post surgical pain, as compared with no acute post surgical pain, was 3.10 for chronic post surgical pain (95% CI: 2.44, 3.96). CONCLUSION: Acute post surgical pain is a rick factor for chronic post surgical pain. We need to pay much attention to this phenomenon. However, more studies with high quality were still needed to confirm these findings.
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How this classification was reachedexpand
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 | 0.093 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.002 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".