Evidence map›Paper›PMID 37802882›Full record

ArticleJournal of the National Cancer Institute2024

Trends in new and persistent opioid use in older adults with and without cancer.

Laura Van Metre Baum, Madhav Kc, Pamela R Soulos, Molly M Jeffery, Kathryn J Ruddy, Catherine C Lerro, Hana Lee, David J Graham, Donna R Rivera, Michael S Leapman and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2024. 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
2.6field-weighted citation impact, top 10% 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, 9 citations in OpenAlex.

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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 at 4 institutions in 1 country.

Laura Van Metre BaumDepartment of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.ORCID 0000-0002-4853-6213
Madhav KcCancer Outcomes, Public Policy and Effectiveness Research Center, Yale School of Medicine, New Haven, CT, USA.ORCID 0000-0002-4659-4348
Pamela R SoulosCancer Outcomes, Public Policy and Effectiveness Research Center, Yale School of Medicine, New Haven, CT, USA.
Molly M JefferyDepartment of Emergency Medicine, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0003-3854-6810
Kathryn J RuddyDepartment of Oncology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0001-6298-332X
Catherine C LerroOncology Center of Excellence, US Food and Drug Administration, Silver Spring, MD, USA.
Hana LeeOffice of Biostatistics, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA.
David J GrahamOffice of Surveillance and Epidemiology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA.
Donna R RiveraOncology Center of Excellence, US Food and Drug Administration, Silver Spring, MD, USA.
Michael S LeapmanCancer Outcomes, Public Policy and Effectiveness Research Center, Yale School of Medicine, New Haven, CT, USA.
Vikram JairamCancer Outcomes, Public Policy and Effectiveness Research Center, Yale School of Medicine, New Haven, CT, USA.ORCID 0000-0001-6602-7204
Michaela A DinanCancer Outcomes, Public Policy and Effectiveness Research Center, Yale School of Medicine, New Haven, CT, USA.ORCID 0000-0003-4849-4743
Cary P GrossDepartment of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Henry S ParkCancer Outcomes, Public Policy and Effectiveness Research Center, Yale School of Medicine, New Haven, CT, USA.ORCID 0000-0002-9366-8514
Yale Cancer Center · USUnited States Food and Drug Administration · USMayo Clinic · USMayo Clinic in Arizona · US

Funding

FDA HHSHHS
6 · The paper itself

Abstract

backgroundThe impact of ongoing efforts to decrease opioid use on patients with cancer remains undefined. Our objective was to determine trends in new and additional opioid use in patients with and without cancer.

methodsThis retrospective cohort study used data from Surveillance, Epidemiology, and End Results program-Medicare for opioid-naive patients with solid tumor malignancies diagnosed from 2012 through 2017 and a random sample of patients without cancer. We identified 238 470 eligible patients with cancer and further focused on 4 clinical strata: patients without cancer, patients with metastatic cancer, patients with nonmetastatic cancer treated with surgery alone ("surgery alone"), and patients with nonmetastatic cancer treated with surgery plus chemotherapy or radiation therapy ("surgery+"). We identified new, early additional, and long-term additional opioid use and calculated the change in predicted probability of these outcomes from 2012 to 2017.

resultsNew opioid use was higher in patients with cancer (46.4%) than in those without (6.9%) (P < .001). From 2012 to 2017, the predicted probability of new opioid use was more stable in the cancer strata (relative declines: 0.1% surgery alone; 2.4% surgery+; 8.8% metastatic cancer), than in the noncancer stratum (20.0%) (P < .001 for each cancer to noncancer comparison). Early additional use declined among surgery patients (‒14.9% and ‒17.5% for surgery alone and surgery+, respectively) but was stable among patients with metastatic disease (‒2.8%, P = .50).

conclusionsOpioid prescribing declined over time at a slower rate in patients with cancer than in patients without cancer. Our study suggests important but tempered effects of the changing opioid climate on patients with cancer.

Indexed as

NeoplasmsNeoplasms, Second PrimaryOpioid-Related DisordersAgedAnalgesics, OpioidHumansMedicarePractice Patterns, Physicians'Retrospective StudiesUnited StatesAnalgesics, Opioid

Identifiers

PMID37802882
PMCPMC13032033
OpenAlexW4387393644

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.