ReviewJournal of pain research2025
Predictive Factors of Acute Pain After Day Surgery: A Meta-Analysis.
Review in Journal of pain research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This study aims to provide evidence-based recommendations for optimizing postoperative pain management and enhancing recovery efficiency by identifying key predictors of acute postoperative pain in day surgery patients. Background: As day surgery becomes more widespread, effective management of acute postoperative pain is crucial for successful recovery. A variety of studies have explored factors influencing postoperative acute pain. This study synthesizes existing evidence through a meta-analysis to clarify the primary predictors. Methods: A comprehensive search was performed across multiple databases, including PubMed, CINAHL, Scopus, Web of Science, EMBASE, the Cochrane Library, and CNKI, to identify clinical studies examining factors associated with acute postoperative pain following day surgery. The search encompassed all relevant publications up to January 30, 2025. The systematic review and meta-analysis employed a fixed-effects model to analyze the data, with a random-effects model applied in cases of significant heterogeneity. Results: Ten studies involving 11,865 patients were included. Significant predictors of acute postoperative pain, including: insufficient use of analgesics (OR = 2.12, Conclusion: This study identified the main predictors of acute postoperative pain in day surgery, suggesting these factors should be incorporated into clinical assessments to optimize pain management and recovery. The main risk factors include analgesic usage, age, surgery type, education level, preoperative fear and anxiety, pain expectation, and anesthesia type. Effective preoperative management of these factors may reduce postoperative pain and enhance recovery.
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Registered trials
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