Evidence map›Paper›PMID 24964916›Full record

Observational studyPain medicine (Malden, Mass.)2014

Self-loathing aspects of depression reduce postoperative opioid cessation rate.

Jennifer M Hah, Sean Mackey, Peter L Barelka, Charlie K M Wang, Bing M Wang, Matthew J Gillespie, Rebecca McCue, Jarred W Younger, Jodie Trafton, Keith Humphreys and 4 more

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in Pain medicine (Malden, Mass.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02571400 (Prevalence and Predictors of Prolonged Post-surgical Opioid Use), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

NCT02571400 completednot on this mapstarted 2015, after this paper: background citation

Prevalence and Predictors of Prolonged Post-surgical Opioid Use: a Prospective Observational Cohort Study

TypeobservationalSponsorUniversity of Notre Dame AustraliaRan2015 to 2016Enrolled1,013ConditionsOpioid Use Disorders, Opioid-related Disorders, Surgery, Pain, PostoperativeArmsContinued use of opioid analgesics >90 days post-surgery
3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Jennifer M HahDivision of Pain Medicine, Stanford University, Palo Alto, California, USA.
Sean Mackey
Peter L Barelka
Charlie K M Wang
Bing M Wang
Matthew J Gillespie
Rebecca McCue
Jarred W Younger
Jodie Trafton
Keith Humphreys
Stuart B Goodman
Fredrick M Dirbas
Peter C Schmidt
Ian R Carroll

Funding

Research in Anesthesia Training Program (ReAP)T32GM089626 · NIGMS · STANFORD UNIVERSITY · PI Vivianne L Tawfik · 2010 to 2026
$5.2M
Neuroimaging and Mentoring in Translational Pain ResearchK24DA029262 · NIDA · STANFORD UNIVERSITY · PI MACKEY, SEAN C · 2010 to 2019
$1.9M
Psychological Factors Contributing to Persistent Opioid Use After SurgeryK23DA035302 · NIDA · STANFORD UNIVERSITY · PI HAH, JENNIFER · 2013 to 2017
$903k
Prescription Opioid Use, Misuse and Pain in Post-Surgical PatientsK23DA025152 · NIDA · STANFORD UNIVERSITY · PI CARROLL, IAN RICHARD · 2008 to 2012
$896k
NIDA NIH HHS K23 DA025152NIDA NIH HHS K23DA025152NIDA NIH HHS K23 DA035302NIDA NIH HHS K23DA035302NIDA NIH HHS K24 DA029262NIDA NIH HHS K24DA029262NIGMS NIH HHS T32 GM089626NIGMS NIH HHS T32GM089626
6 · The paper itself

Abstract

objectiveWe previously reported that increased preoperative Beck Depression Inventory II (BDI-II) scores were associated with a 47% (95% CI 24%-64%) reduction in the rate of opioid cessation following surgery. We aimed to identify the underlying factors of the BDI-II (affective/cognitive vs somatic) associated with a decreased rate of opioid cessation after surgery.

methodsWe conducted a secondary analysis of the data from a previously reported prospective, longitudinal, observational study of opioid use after five distinct surgical procedures (total hip replacement, total knee replacement, thoracotomy, mastectomy, and lumpectomy) in 107 patients. The primary endpoint was time to opioid cessation. After exploratory factor analysis of the BDI-II, mean summary scores were calculated for each identified factor. These scores were evaluated as predictors of time to opioid cessation using Cox proportional hazards regression.

resultsThe exploratory factor analysis produced three factors (self-loathing symptoms, motivational symptoms, emotional symptoms). All three factors were significant predictors in univariate analysis. Of the three identified factors of the BDI-II, only preoperative self-loathing symptoms (past failure, guilty feelings, self-dislike, self-criticalness, suicidal thoughts, worthlessness) independently predicted a significant decrease in opioid cessation rate after surgery in the multivariate analysis (HR 0.86, 95% CI 0.75-0.99, P value 0.037).

conclusionsOur results identify a set of negative cognitions predicting prolonged time to postoperative opioid cessation. Somatic symptoms captured by the BDI-II were not primarily responsible for the association between preoperative BDI-II scores and postoperative prolonged opioid use.

Indexed as

Self ConceptAgedAnalgesics, OpioidDepressionFemaleHumansLongitudinal StudiesMaleMiddle AgedPostoperative PainProspective StudiesTime FactorsAnalgesics, OpioidCessationDepressionOpioidsPostoperativeSelf-LoathingSurgery

Identifiers

PMID24964916
PMCPMC4083472

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.