The DOI matches its Crossref record, with a small difference in title or year; 133 of the 133 references it cites were found in a registry or an index.
Predictors of Postoperative Pain and Analgesic Consumption: A Qualitative Systematic Review
Open accessAbstract
Pain is a subjective and multidimensional experience that is often inadequately managed in clinical practice. Effective control of postoperative pain is important after anesthesia and surgery. A systematic review was conducted to identify the independent predictive factors for postoperative pain and analgesic consumption. The authors identified 48 eligible studies with 23,037 patients included in the final analysis. Preoperative pain, anxiety, age, and type of surgery were four significant predictors for postoperative pain. Type of surgery, age, and psychological distress were the significant predictors for analgesic consumption. Gender was not found to be a consistent predictor as traditionally believed. Early identification of the predictors in patients at risk of postoperative pain will allow more effective intervention and better management. The coefficient of determination of the predictive models was less than 54%. More vigorous studies with robust statistics and validated designs are needed to investigate this field of interest.
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“In several reviews, preoperative pain consistently emerges as an important predictor for the development of chronic postoperative pain1517.”
From Acceptance and Commitment Therapy for Prevention of Chronic Postsurgical Pain and Opioid Use in At-Risk Veterans: A Pilot Randomized Controlled Study. (2018) · cites this paper as [15]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Negative affect and pain catastrophizing are also risk factors for intense, acute postoperative pain and excessive opioid use.50–52”
From Chronic postsurgical pain: From risk factor identification to multidisciplinary management at the Toronto General Hospital Transitional Pain Service (2019) · cites this paper as [50]
Experimental — accuracy not yet measuredIn the citing paper
“However, quantitative analysis was not possible due to variability in the reporting of measures of associations and study design heterogeneity of the included studies.”
From Preoperative predictors of poor acute postoperative pain control: a systematic review and meta-analysis (2019) · cites this paper as [20]
In the citing paper
“A previous systematic review reported a limited number of predictors of poor postoperative pain control including age, anxiety, preoperative pain and surgery type.20”
From Preoperative predictors of poor acute postoperative pain control: a systematic review and meta-analysis (2019) · cites this paper as [20]
In the citing paper
“Sex differences may potentially relate to complex psychosocial and biological factors, such as an increased willingness of women to communicate pain,64 and subjective differences in pain perception and experience.20”
From Preoperative predictors of poor acute postoperative pain control: a systematic review and meta-analysis (2019) · cites this paper as [20]
In the citing paper
“In addition to the predictors previously described, we identified six additional preoperative predictors of poor postoperative pain control.20”
From Preoperative predictors of poor acute postoperative pain control: a systematic review and meta-analysis (2019) · cites this paper as [20]
In the citing paper
“Our findings are consistent with and extend the results of the previous systematic review by Ip et al.20”
From Preoperative predictors of poor acute postoperative pain control: a systematic review and meta-analysis (2019) · cites this paper as [20]
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Metadata
- Authors
- Ip, H. Y. V., Abrishami, A., Peng, P. W. H., Wong, J., & Chung, F.
- Affiliations
- University Health Network (CA)
- Research Fellow.
- Associate Professor.
- Assistant Professor.
- Venue
- Anesthesiology
- Published
- 2009-09-01
- Volume
- 111
- Issue
- 3
- Pages
- 657-677
- ISSN
- 0003-3022 (ISSN-L)
- OpenAlex
- W1978519915
- Cited by
- 1,055
- References
- 133
- Citations by year
- 2026: 46 · 2025: 58 · 2024: 91 · 2023: 65 · 2022: 71 · 2021: 84 · 2020: 91 · 2019: 72 · 2018: 72 · 2017: 70 · 2016: 59 · 2015: 43 · 2014: 74 · 2013: 57 · 2012: 47
- FWCI
- 5.43
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- public-domain
- Locations
- Anesthesiology (publishedVersion, public-domain)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Anesthesiology and Pain Medicine › Anesthesia and Pain Management
- Health Sciences › Medicine › Anesthesiology and Pain Medicine › Pain Management and Opioid Use
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Pediatric Pain Management Techniques
- Keywords
- postoperative pain, analgesic use, predictors of postoperative pain, preoperative pain, anxiety, psychological distress, age, type of surgery, gender, pain management
- MeSH terms
- Adaptation, Psychological, Adult, Age Factors, Aged, Analgesics, Anxiety, Data Interpretation, Statistical, Female, Humans, Male, Middle Aged, Postoperative Pain, Predictive Value of Tests, Prognosis, Sex Factors, Stress, Psychological, Randomized Controlled Trials as Topic
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