The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Rates and risk factors for prolonged opioid use after major surgery: population based cohort study
Open accessAbstract
OBJECTIVE: To describe rates and risk factors for prolonged postoperative use of opioids in patients who had not previously used opioids and undergoing major elective surgery. DESIGN: Population based retrospective cohort study. SETTING: Acute care hospitals in Ontario, Canada, between 1 April 2003 and 31 March 2010. PARTICIPANTS: 39,140 opioid naïve patients aged 66 years or older who had major elective surgery, including cardiac, intrathoracic, intra-abdominal, and pelvic procedures. MAIN OUTCOME MEASURE: Prolonged opioid use after discharge, as defined by ongoing outpatient prescriptions for opioids for more than 90 days after surgery. RESULTS: Of the 39,140 patients in the entire cohort, 49.2% (n=19,256) were discharged from hospital with an opioid prescription, and 3.1% (n=1229) continued to receive opioids for more than 90 days after surgery. Following risk adjustment with multivariable logistic regression modelling, patient related factors associated with significantly higher risks of prolonged opioid use included younger age, lower household income, specific comorbidities (diabetes, heart failure, pulmonary disease), and use of specific drugs preoperatively (benzodiazepines, selective serotonin reuptake inhibitors, angiotensin converting enzyme inhibitors). The type of surgical procedure was also highly associated with prolonged opioid use. Compared with open radical prostatectomies, both open and minimally invasive thoracic procedures were associated with significantly higher risks (odds ratio 2.58, 95% confidence interval 2.03 to 3.28 and 1.95 1.36 to 2.78, respectively). Conversely, open and minimally invasive major gynaecological procedures were associated with significantly lower risks (0.73, 0.55 to 0.98 and 0.45, 0.33 to 0.62, respectively). CONCLUSIONS: Approximately 3% of previously opioid naïve patients continued to use opioids for more than 90 days after major elective surgery. Specific patient and surgical characteristics were associated with the development of prolonged postoperative use of opioids. Our findings can help better inform understanding about the long term risks of opioid treatment for acute postoperative pain and define patient subgroups that warrant interventions to prevent progression to prolonged postoperative opioid use.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data
Quan, H., Sundararajan, V., Halfon, P., Fong, A., Burnand, B., Luthi, J.-C., Saunders, L. D., Beck, C. A., Feasby, T. E., & Ghali, W. A. (2005) · Medical Care · doi:10.1097/01.mlr.0000182534.19832.83 · Cited by 10,669
An estimation of the global volume of surgery: a modelling strategy based on available data
Weiser, T. G., Regenbogen, S. E., Thompson, K. D., Haynes, A. B., Lipsitz, S. R., Berry, W. R., & Gawande, A. A. (2008) · The Lancet · doi:10.1016/s0140-6736(08)60878-8 · Cited by 2,511
Pharmacologic management of neuropathic pain: Evidence-based recommendations
Dworkin, R. H., O’Connor, A. B., Backonja, M., Farrar, J. T., Finnerup, N. B., Jensen, T. S., Kalso, E. A., Loeser, J. D., Miaskowski, C., Nurmikko, T. J., et al. (2007) · Pain · doi:10.1016/j.pain.2007.08.033 · Cited by 2,126
Hux, J. E., Ivis, F., Flintoft, V., & Bica, A. (2002) · Diabetes Care · doi:10.2337/diacare.25.3.512 · Cited by 1,290
Prevalence of and Factors Associated With Persistent Pain Following Breast Cancer Surgery
Gärtner, R., Jensen, M.-B., Nielsen, J., Ewertz, M., Kroman, N., & Kehlet, H. (2009) · JAMA · doi:10.1001/jama.2009.1568 · Cited by 908
Long-term Analgesic Use After Low-Risk Surgery: A Retrospective Cohort Study
Alam, A. (2012) · Archives of Internal Medicine · doi:10.1001/archinternmed.2011.1827 · Cited by 788
Transition from acute to chronic postsurgical pain: risk factors and protective factors
Katz, J., & Seltzer, Z. (2009) · Expert Review of Neurotherapeutics · doi:10.1586/ern.09.20 · Cited by 782
Effectiveness of acute postoperative pain management: I. Evidence from published data
Dolin, S. J., Cashman, J. N., & Bland, J. M. (2002) · British Journal of Anaesthesia · doi:10.1093/bja/89.3.409 · Cited by 737
Preoperative prediction of severe postoperative pain
Kalkman, J. C., Visser, K., Moen, J., Bonsel, J. G., Grobbee, E. D., & Moons, M. K. G. (2003) · Pain · doi:10.1016/s0304-3959(03)00252-5 · Cited by 616
Risk Factors for Chronic Pain Following Breast Cancer Surgery: A Prospective Study
Poleshuck, E. L., Katz, J., Andrus, C. H., Hogan, L. A., Jung, B. F., Kulick, D. I., & Dworkin, R. H. (2006) · The Journal of Pain · doi:10.1016/j.jpain.2006.02.007 · Cited by 555
Cited by
New Persistent Opioid Use After Minor and Major Surgical Procedures in US Adults
Brummett, C. M., Waljee, J. F., Goesling, J., Moser, S., Lin, P., Englesbe, M. J., Bohnert, A. S. B., Kheterpal, S., & Nallamothu, B. K. (2017) · JAMA Surgery · doi:10.1001/jamasurg.2017.0504 · Cited by 2,025
Sun, E. C., Darnall, B. D., Baker, L. C., & Mackey, S. (2016) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2016.3298 · Cited by 1,078
Brat, G. A., Agniel, D., Beam, A., Yorkgitis, B., Bicket, M., Homer, M., Fox, K. P., Knecht, D. B., McMahill-Walraven, C. N., Palmer, N., et al. (2018) · BMJ · doi:10.1136/bmj.j5790 · Cited by 591
Sun, E. C., Dixit, A., Humphreys, K., Darnall, B. D., Baker, L. C., & Mackey, S. (2017) · BMJ · doi:10.1136/bmj.j760 · Cited by 534
An Educational Intervention Decreases Opioid Prescribing After General Surgical Operations
Hill, M. V., Stucke, R. S., McMahon, M. L., Beeman, J. L., & Barth, R. J. (2018) · Annals of Surgery · doi:10.1097/sla.0000000000002198 · Cited by 367
Metadata
- Authors
- Clarke, H., Soneji, N., Ko, D. T., Yun, L., & Wijeysundera, D. N.
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2014-02-11
- Volume
- 348
- Issue
- feb11 3
- Pages
- g1251-g1251
- ISSN
- 1756-1833 (ISSN-L)
- OpenAlex
- W2090920511
- Cited by
- 940
- References
- 39
- FWCI
- 36.15
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Rates and risk factors for prolonged opioid use after major surgery: population based cohort study. https://app.cochat.ai/papers/10.1136/bmj.g1251
- The paper
- Clarke, H., Soneji, N., Ko, D. T., Yun, L., & Wijeysundera, D. N. (2014). Rates and risk factors for prolonged opioid use after major surgery: population based cohort study. BMJ. https://doi.org/10.1136/bmj.g1251
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.