Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 266

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Preoperative Opioid Use as a Predictor of Adverse Postoperative Self-Reported Outcomes in Patients Undergoing Spine Surgery

Lee, Dennis, Armaghani, Sheyan, Archer, Kristin R., Bible, Jesse, Shau, David, Kay, Harrison, Zhang, Chi, McGirt, Matthew J., Devin, Clinton·2014·Journal of Bone and Joint Surgery

Abstract

BACKGROUND: Opioids are commonly used for preoperative pain management in patients undergoing spine surgery. The objective of this investigation was to assess whether preoperative opioid use predicts worse self-reported outcomes in patients undergoing spine surgery. METHODS: Five hundred and eighty-three patients undergoing lumbar, thoracolumbar, or cervical spine surgery to treat a structural lesion were included in this prospective cohort study. Self-reported preoperative opioid consumption data were obtained at the preoperative visit and were converted to the corresponding daily morphine equivalent amount. Patient-reported outcome measures were assessed at three and twelve months postoperatively via the 12-Item Short-Form Health Survey and the EuroQol-5D questionnaire, as well as, when appropriate, the Oswestry Disability Index and the Neck Disability Index. Separate multivariable linear regression analyses were then performed. RESULTS: At the preoperative evaluation, of the 583 patients, 56% (326 patients) reported some degree of opioid use. Multivariable analyses controlling for age, sex, diabetes, smoking, surgery invasiveness, revision surgery, preoperative Modified Somatic Perception Questionnaire score, preoperative Zung Depression Scale score, and baseline outcome score found that increased preoperative opioid use was a significant predictor (p < 0.05) of decreased 12-Item Short-Form Health Survey and EuroQol-5D scores, as well as of increased Oswestry Disability Index and Neck Disability Index scores at three and twelve months postoperatively. Every 10-mg increase in daily morphine equivalent amount taken preoperatively was associated with a 0.03 decrease in the 12-Item Short-Form Health Survey physical component summary and mental component summary scores, a 0.01 decrease in the EuroQol-5D score, and a 0.5 increase in the Oswestry Disability Index and Neck Disability Index score at twelve months postoperatively. Higher preoperative Modified Somatic Perception Questionnaire and Zung Depression Scale scores were also significant negative predictors (p < 0.05). CONCLUSIONS: Increased preoperative opioid consumption, Modified Somatic Perception Questionnaire score, and Zung Depression Scale score prior to undergoing spine surgery predicted worse patient-reported outcomes. This suggests the potential benefit of psychological and opioid screening with a multidisciplinary approach that includes weaning of opioid use in the preoperative period and close opioid monitoring postoperatively. LEVEL OF EVIDENCE: Prognostic Level II. See Instructions for Authors for a complete description of levels of evidence.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2106/jbjs.m.00865

Cites

9 of 9 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 9 references

Cited by

See all 266

Metadata

Authors
Lee, D., Armaghani, S., Archer, K. R., Bible, J., Shau, D., Kay, H., Zhang, C., McGirt, M. J., & Devin, C.
Venue
Journal of Bone and Joint Surgery
Published
2014-06-04
Volume
96
Issue
11
Pages
e89
ISSN
  • 0021-9355 (ISSN-L)
  • 1535-1386
OpenAlex
W2149400037
Cited by
266
References
9
FWCI
18.69
Type
journal article
Language
en
Open access
closed

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: Preoperative Opioid Use as a Predictor of Adverse Postoperative Self-Reported Outcomes in Patients Undergoing Spine Surgery. https://app.cochat.ai/papers/10.2106/jbjs.m.00865
The paper
Lee, D., Armaghani, S., Archer, K. R., Bible, J., Shau, D., Kay, H., Zhang, C., McGirt, M. J., & Devin, C. (2014). Preoperative Opioid Use as a Predictor of Adverse Postoperative Self-Reported Outcomes in Patients Undergoing Spine Surgery. Journal of Bone and Joint Surgery. https://doi.org/10.2106/jbjs.m.00865

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.