Evidence map›Paper›PMID 38191684›Full record

ArticleBreast cancer research and treatment2024

Association between trajectories of prescription opioid use and risk of opioid use disorder and overdose among US nonmetastatic breast cancer survivors.

Ching-Yuan Chang, Bobby L Jones, Juan M Hincapie-Castillo, Haesuk Park, Coy D Heldermon, Vakaramoko Diaby, Debbie L Wilson, Wei-Hsuan Lo-Ciganic

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In one paragraph

Article in Breast cancer research and treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Opioid prescription patterns in long-term disease-free cancer survivors: a retrospective analysis at a single NCI-designated comprehensive cancer center.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Observational
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 4 institutions in 1 country.

Ching-Yuan ChangDepartment of Pharmaceutical Outcomes & Policy, College of Pharmacy, University of Florida, Gainesville, FL, 32611, USA.
Bobby L JonesDepartment of Pharmaceutical Outcomes & Policy, College of Pharmacy, University of Florida, Gainesville, FL, 32611, USA.
Juan M Hincapie-CastilloDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC, 27599, USA.
Haesuk ParkDepartment of Pharmaceutical Outcomes & Policy, College of Pharmacy, University of Florida, Gainesville, FL, 32611, USA.
Coy D HeldermonDepartment of Medicine, College of Medicine, University of Florida, Gainesville, FL, 32611, USA.
Vakaramoko DiabyDepartment of Pharmaceutical Outcomes & Policy, College of Pharmacy, University of Florida, Gainesville, FL, 32611, USA.
Debbie L WilsonDepartment of Pharmaceutical Outcomes & Policy, College of Pharmacy, University of Florida, Gainesville, FL, 32611, USA.
Wei-Hsuan Lo-CiganicDivision of General Internal Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, USA. jenny.lociganic@pitt.edu.ORCID http://orcid.org/0000-0001-6590-4770
University of Florida · USCenter for Drug Evaluation and Research · USUniversity of North Carolina at Chapel Hill · USUniversity of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo examine the association between prescription opioid use trajectories and risk of opioid use disorder (OUD) or overdose among nonmetastatic breast cancer survivors by treatment type.

methodsThis retrospective cohort study included female nonmetastatic breast cancer survivors with at least 1 opioid prescription fill in 2010-2019 Surveillance, Epidemiology and End Results linked Medicare data. Opioid mean daily morphine milligram equivalents (MME) calculated within 1.5 years after initiating active breast cancer therapy. Group-based trajectory models identified distinct opioid use trajectory patterns. Risk of time to first OUD/overdose event within 1 year after the trajectory period was calculated for distinct trajectory groups using Cox proportional hazards models. Analyses were stratified by treatment type.

resultsFour opioid use trajectories were identified for each treatment group. For 38,030 survivors with systemic endocrine therapy, 3 trajectories were associated with increased OUD/overdose risk compared with early discontinuation: minimal dose (< 5 MME; adjusted hazard ratio [aHR] = 1.73 [95% CI  1.43-2.09]), very low dose (5-25 MME; 2.67 [2.05-3.48]), and moderate dose (51-90 MME; 6.20 [4.69-8.19]). For 9477 survivors with adjuvant chemotherapy, low-dose opioid use was associated with higher OUD/overdose risk (aHR = 7.33 [95% CI 2.52-21.31]) compared with early discontinuation. For 3513 survivors with neoadjuvant chemotherapy, the differences in OUD/OD risks across the 4 trajectories were not significant.

conclusionsAmong Medicare nonmetastatic breast cancer survivors receiving systemic endocrine therapy or adjuvant chemotherapy, compared with early discontinuation, low-dose or moderate-dose opioid use were associated with six- to sevenfold higher OUD/overdose risk. Breast cancer survivors at high-risk of OUD/overdose may benefit from targeted interventions (e.g., pain clinic referral).

Indexed as

Breast NeoplasmsCancer SurvivorsDrug OverdoseOpioid-Related DisordersAgedAnalgesics, OpioidEndrinFemaleHumansMedicarePrescriptionsRetrospective StudiesSurvivorsUnited StatesAnalgesics, OpioidEndrinMMEBreast cancerMedicareOpioid overdoseOpioid use disorderPrescription opioid

Identifiers

PMID38191684
OpenAlexW4390659674

What OpenQuestion holds

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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.