Evidence map›Paper›PMID 28614083›Full record

Observational studyAnesthesiology2017

Pain Catastrophizing Moderates Relationships between Pain Intensity and Opioid Prescription: Nonlinear Sex Differences Revealed Using a Learning Health System.

Yasamin Sharifzadeh, Ming-Chih Kao, John A Sturgeon, Thomas J Rico, Sean Mackey, Beth D Darnall

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in Anesthesiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04994249 (Diagnostic and Prognostic Biomarkers for High-impact Chronic Pain), which is not on this map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
5.0field-weighted citation impact, top 4% of its field
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.

NCT04994249 active not recruitingnot on this mapstarted 2022, after this paper: background citation

Diagnostic and Prognostic Biomarkers for High-impact Chronic Pain: Development and Validation

TypeobservationalSponsorStanford UniversityRan2022 to 2027Enrolled250ConditionsChronic Musculoskeletal Pain, Pain, Pain, Chronic, Joint Pain
3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 76 citations in OpenAlex.

  1. Observational
  2. Article
  3. Reply to the letter by Guoying Wang.Journal of anesthesia · 2025
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  5. Article
  6. Observational
  7. Article
  8. Article
  9. Article
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  11. Article
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  14. Pain catastrophizing, pain anxiety, and substance use among Black individuals with chronic pain who use opioids.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Review
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  20. Article
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

6 authors at 1 institution in 2 countries.

Yasamin SharifzadehFrom Stanford University School of Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Division of Pain Medicine, Stanford Systems Neuroscience and Pain Laboratory, Palo Alto, California.
Ming-Chih Kao
John A Sturgeon
Thomas J Rico
Sean Mackey
Beth D Darnall
School of the Art Institute of Chicago · US

Funding

Stanford CAM Center for Chronic Back PainP01AT006651 · NCCIH · STANFORD UNIVERSITY · PI MACKEY, SEAN C · 2011 to 2018
$8.2M
Interdisciplinary Research Training in Pain and Substance Use DisordersT32DA035165 · NIDA · STANFORD UNIVERSITY · PI SEAN C MACKEY · 2013 to 2026
$7.2M
Single Session Pain Catastrophizing Treatment: Comparative Efficacy & MechanismsR01AT008561 · NCCIH · STANFORD UNIVERSITY · PI DARNALL, BETH DENISE, MACKEY, SEAN C · 2015 to 2019
$3.9M
Neuroimaging and Mentoring in Translational Pain ResearchK24DA029262 · NIDA · STANFORD UNIVERSITY · PI MACKEY, SEAN C · 2010 to 2019
$1.9M
NCCIH NIH HHS P01 AT006651NCCIH NIH HHS R01 AT008561NIDA NIH HHS HHSN271201200728PNIDA NIH HHS K24 DA029262NIDA NIH HHS T32 DA035165
6 · The paper itself

Abstract

backgroundPain catastrophizing is a maladaptive response to pain that amplifies chronic pain intensity and distress. Few studies have examined how pain catastrophizing relates to opioid prescription in outpatients with chronic pain.

methodsThe authors conducted a retrospective observational study of the relationships between opioid prescription, pain intensity, and pain catastrophizing in 1,794 adults (1,129 women; 63%) presenting for new evaluation at a large tertiary care pain treatment center. Data were sourced primarily from an open-source, learning health system and pain registry and secondarily from manual review of electronic medical records. A binary opioid prescription variable (yes/no) constituted the dependent variable; independent variables were age, sex, pain intensity, pain catastrophizing, depression, and anxiety.

resultsMost patients were prescribed at least one opioid medication (57%; n = 1,020). A significant interaction and main effects of pain intensity and pain catastrophizing on opioid prescription were noted (P < 0.04). Additive modeling revealed sex differences in the relationship between pain catastrophizing, pain intensity, and opioid prescription, such that opioid prescription became more common at lower levels of pain catastrophizing for women than for men.

conclusionsResults supported the conclusion that pain catastrophizing and sex moderate the relationship between pain intensity and opioid prescription. Although men and women patients had similar Pain Catastrophizing Scale scores, historically "subthreshold" levels of pain catastrophizing were significantly associated with opioid prescription only for women patients. These findings suggest that pain intensity and catastrophizing contribute to different patterns of opioid prescription for men and women patients, highlighting a potential need for examination and intervention in future studies.

Indexed as

AdolescentAdultAgedAged, 80 and overAnalgesics, OpioidCatastrophizationChronic PainFemaleHealth SurveysHumansMaleMiddle AgedPain ManagementPain MeasurementRetrospective StudiesSex FactorsAnalgesics, Opioid

Identifiers

PMID28614083
PMCPMC5478434
OpenAlexW2626854722

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.