Evidence map›Paper›PMID 37616195›Full record

Observational studyPloS one2023

Postoperative opioid prescribing patients with diabetes: Opportunities for personalized pain management.

Alban Zammit, Jean Coquet, Jennifer Hah, Oualid El Hajouji, Steven M Asch, Ian Carroll, Catherine M Curtin, Tina Hernandez-Boussard

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.4field-weighted citation impact, top 11% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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  5. Do Diabetes and Genetic Polymorphisms in theJournal of clinical medicine · 2025
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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

8 authors at 3 institutions in 1 country.

Alban ZammitDepartment of Medicine, Stanford University School of Medicine, Stanford, California, United States of America.ORCID 0000-0002-2524-1113
Jean CoquetDepartment of Medicine, Stanford University School of Medicine, Stanford, California, United States of America.
Jennifer HahDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, California, United States of America.ORCID 0000-0002-9739-3968
Oualid El HajoujiDepartment of Medicine, Stanford University School of Medicine, Stanford, California, United States of America.
Steven M AschDepartment of Medicine, Stanford University School of Medicine, Stanford, California, United States of America.
Ian CarrollDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, California, United States of America.
Catherine M CurtinDepartment of Surgery, VA Palo Alto Health Care System, Menlo Park, California, United States of America.
Tina Hernandez-BoussardDepartment of Medicine, Stanford University School of Medicine, Stanford, California, United States of America.ORCID 0000-0001-6553-3455
Stanford University · USUnited States Department of Veterans Affairs · USVA Palo Alto Health Care System · US

Funding

Integrating Tailored Postoperative Opioid Tapering and Pain Management Support for Patients on Long-Term Opioid Use Presenting for Spine Surgery (MIRHIQL)R01DA058694 · NIDA · STANFORD UNIVERSITY · PI Jennifer Hah · 2023 to 2026
$4.5M
Advancing Knowledge Discovery for Postoperative Pain ManagementR01LM013362 · NLM · STANFORD UNIVERSITY · PI HERNANDEZ-BOUSSARD, TINA · 2019 to 2023
$3.2M
Psychological Risk Factors for Persistent Opioid Use and Prevention of Chronic Opioid Use and Misuse After Surgery: Postoperative Motivational Interviewing and Guided Opioid WeaningR01DA045027 · NIDA · STANFORD UNIVERSITY · PI HAH, JENNIFER · 2018 to 2022
$2.6M
NIDA NIH HHS R01 DA045027NIDA NIH HHS R01 DA058694NLM NIH HHS R01 LM013362
6 · The paper itself

Abstract

backgroundOpioids are commonly prescribed for postoperative pain, but may lead to prolonged use and addiction. Diabetes impairs nerve function, complicates pain management, and makes opioid prescribing particularly challenging.

methodsThis retrospective observational study included a cohort of postoperative patients from a multisite academic health system to assess the relationship between diabetes, pain, and prolonged opioid use (POU), 2008-2019. POU was defined as a new opioid prescription 3-6 months after discharge. The odds that a patient had POU was assessed using multivariate logistic regression controlling for patient factors (e.g., demographic and clinical factors, as well as prior pain and opiate use).

findingsA total of 43,654 patients were included, 12.4% with diabetes. Patients with diabetes had higher preoperative pain scores (2.1 vs 1.9, p<0.001) and lower opioid naïve rates (58.7% vs 68.6%, p<0.001). Following surgery, patients with diabetes had higher rates of POU (17.7% vs 12.7%, p<0.001) despite receiving similar opioid prescriptions at discharge. Patients with Type I diabetes were more likely to have POU compared to other patients (Odds Ratio [OR]: 2.22; 95% Confidence Interval [CI]:1.69-2.90 and OR:1.44, CI: 1.33-1.56, respectively).

interpretationIn conclusion, surgical patients with diabetes are at increased risk for POU even after controlling for likely covariates, yet they receive similar postoperative opiate therapy. The results suggest a more tailored approach to diabetic postoperative pain management is warranted.

Indexed as

Diabetes MellitusOpiate AlkaloidsOpioid-Related DisordersAnalgesics, OpioidHumansPain ManagementPostoperative PainPractice Patterns, Physicians'Analgesics, OpioidOpiate Alkaloids

Identifiers

PMID37616195
PMCPMC10449216
OpenAlexW4386134002

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.