Evidence map›Paper›PMID 38457606›Full record

ArticleJNCI cancer spectrum2024

Opioid use in cancer patients compared with noncancer pain patients in a veteran population.

Seshadri C Mudumbai, Han He, Ji-Qing Chen, Aditi Kapoor, Samantha Regala, Edward R Mariano, Randall S Stafford, Christian C Abnet, Ruth M Pfeiffer, Neal D Freedman and 1 more

Open access · goldAbstract read
In one paragraph

Article in JNCI cancer spectrum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
9.6field-weighted citation impact, top 2% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Changes in opioid prescribing and high-risk co-prescribing after implementation of the 2016 CDC opioid guideline among older adults with and without cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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  7. The contribution of nonmedical opioid use to healthcare encounters for opioid overdose and use disorders among long-term users with metastatic cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Seshadri C MudumbaiAnesthesiology, Perioperative and Pain Medicine Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.ORCID 0000-0001-8486-9966
Han HeAnesthesiology, Perioperative and Pain Medicine Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.
Ji-Qing ChenAnesthesiology, Perioperative and Pain Medicine Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.
Aditi KapoorAnesthesiology, Perioperative and Pain Medicine Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.
Samantha RegalaAnesthesiology, Perioperative and Pain Medicine Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.
Edward R MarianoAnesthesiology, Perioperative and Pain Medicine Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.
Randall S StaffordStanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Christian C AbnetDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Ruth M PfeifferDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Neal D FreedmanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Arash EtemadiDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.ORCID 0000-0002-3458-1072
VA Palo Alto Health Care System · USNational Cancer Institute · USStanford Medicine · US

Funding

Descriptive Studies and Record LinkageZIACP010183 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI SHIELS, MEREDITH · 2009 to 2025
$10.7M
NCI NIH HHS A2211-075-036-033419.0
6 · The paper itself

Abstract

backgroundOpioid safety initiatives may secondarily impact opioid prescribing and pain outcomes for cancer care.

methodsWe reviewed electronic health record data at a tertiary Veterans Affairs system (VA Palo Alto) for all patients from 2015 to 2021. We collected outpatient Schedule II opioid prescriptions data and calculated morphine milligram equivalents (MMEs) using Centers for Disease Control and Prevention conversion formulas. To determine the clinical impact of changes in opioid prescription, we used the highest level of pain reported by each patient on the 0-to-10 Numeric Rating Scale in each year, categorized into mild (0-3), moderate (4-6), and severe (7 and above).

resultsAmong 89 569 patients, 9073 had a cancer diagnosis. Cancer patients were almost twice as likely to have an opioid prescription compared with noncancer patients (69.0% vs 36.7%, respectively). The proportion of patients who received an opioid prescription decreased from 27.1% to 18.1% (trend P < .01) in cancer patients and from 17.0% to 10.2% in noncancer patients (trend P < .01). Cancer and noncancer patients had similar declines of MMEs per year between 2015 and 2019, but the decline was more rapid for cancer patients (1462.5 to 946.4, 35.3%) compared with noncancer patients (1315.6 to 927.7, 29.5%) from 2019 to 2021. During the study period, the proportion of noncancer patients who experienced severe pain was almost unchanged, whereas it increased among cancer patients, reaching a significantly higher rate than among noncancer patients in 2021 (31.9% vs 27.4%, P < .01).

conclusionsOur findings suggest potential unintended consequences for cancer care because of efforts to manage opioid-related risks.

Indexed as

NeoplasmsVeteransAnalgesics, OpioidHumansPainPractice Patterns, Physicians'Analgesics, Opioid

Identifiers

PMID38457606
PMCPMC11009465
OpenAlexW4392613692

What OpenQuestion holds

Textmetadata
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.