Evidence map›Paper›PMID 39444260›Full record

ArticleCancer medicine2024

Patterns and predictors of opioid dispensing among older cancer patients from 2008 to 2015.

Yingxi Chen, Yei-Eun Shin, Susan Spillane, Meredith S Shiels, Anna E Coghill, Lindsey Enewold, Ruth M Pfeiffer, Neal D Freedman

Abstract read
In one paragraph

Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

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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

2 citing papers in PubMed.

  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
    Article
  2. 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

8 authors.

Yingxi ChenDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.ORCID https://orcid.org/0000-0002-3565-1052
Yei-Eun ShinDepartment of Statistics, Seoul National University, Seoul, South Korea.ORCID https://orcid.org/0000-0002-0739-1281
Susan SpillaneDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
Meredith S ShielsDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
Anna E CoghillCancer Epidemiology Program, Moffitt Cancer Center, Tampa, USA.
Lindsey EnewoldDivision of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland, USA.
Ruth M PfeifferDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
Neal D FreedmanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.

Funding

NCI NIH HHS HHSN261201800009CNCI NIH HHS HHSN261201800009INCI NIH HHS HHSN261201800015CNCI NIH HHS HHSN261201800015INCI NIH HHS HHSN261201800032CNCI NIH HHS HHSN261201800032INIH Intramural Research Program
6 · The paper itself

Abstract

backgroundUnderstanding factors associated with opioid dispensing in cancer patients is important for developing tailored guidelines and ensuring equitable access to pain management. We examined patterns and predictors of opioid dispensing among older cancer patients from 2008 to 2015.

methodsWe analyzed data from the Surveillance, Epidemiology, and End Results (SEER) database linked to Medicare claims. We included the most common cancer types among patients aged 66-95 years. Opioids dispensed within 30 days before and 120 days after cancer diagnosis were assessed. We used logistic regression models to examine trends, adjusted odds ratios (aORs), and 95% confidence intervals (CIs) for opioid dispensing, considering patient demographics, geography, cancer stage, comorbidities, and treatment options. Models were stratified by sex.

resultsA total of 211,759 cancer patients aged 66-95 years were included in the study. For cancers combined, non-Hispanic Black men had a significantly lower odds of receiving opioids during the 120 days post-diagnosis (aOR = 0.89, 95% CI = 0.84-0.94) compared to non-Hispanic White men. Factors such as pre-diagnosis opioid dispensing, age, geography, cancer stage, comorbidities, and type of cancer treatment were associated with opioid dispensing during the 120 days post-diagnosis. Surgery had the strongest association, with men undergoing surgery being 4.4 times more likely to receive opioids within 120 days post-diagnosis (aOR = 4.41, 95% CI = 4.23-4.60), while women had an odds ratio of 2.72 (95% CI = 2.62-2.83). Chemotherapy and radiotherapy were also positively associated with opioid dispensing, with less pronounced estimates.

conclusionsWe observed significant variations in opioid dispensing among cancer patients aged 66-95 years across cancer types and demographic and clinical factors.

Indexed as

Analgesics, OpioidCancer PainNeoplasmsPractice Patterns, Physicians'SEER ProgramAgedAged, 80 and overAge FactorsDrug PrescriptionsFemaleHumansMaleMedicarePain ManagementUnited StatesAnalgesics, Opioidcancer patientsopioid medicationpredictors

Identifiers

PMID39444260
PMCPMC11499567

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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.