Evidence map›Paper›PMID 39847449›Full record

ArticlePain2025

Distribution of opioid analgesics by community racial/ethnic and socioeconomic profiles, 2011-2021.

Ju-Chen Hu, Promi Chakraborty, Hao Zhang, Russell Portenoy, William E Rosa, Yiye Zhang, M Carrington Reid, Rulla M Tamimi, Fang Zhang, Eduardo Bruera and 2 more

Abstract read
In one paragraph

Article in Pain, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

12 authors.

Ju-Chen HuDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States.ORCID 0000-0001-5201-3557
Promi ChakrabortyDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States.
Hao ZhangDepartment of Health Policy and Organization, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States.
Russell PortenoyDepartment of Family and Social Medicine, Albert Einstein College of Medicine, Bronx, NY, United States.
William E RosaDepartment of Psychiatry & Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
Yiye ZhangDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States.
M Carrington ReidDivision of Geriatrics and Palliative Medicine, Weill Cornell Medicine, New York, NY, United States.
Rulla M TamimiDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States.
Fang ZhangDepartment of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA, United States.
Eduardo BrueraDepartment of Palliative, Rehabilitation and Integrative Medicine, University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Judith A PaiceDivision of Hematology-Oncology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Yuhua BaoDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Opioid Treatment of Pain in People with Cancer: Intended and unintended consequences of state policies addressing opioid prescribingR01CA267996 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI BAO, YUHUA · 2022 to 2025
$1.5M
American Cancer Society RSGI-22-130-01-HOPSNCI NIH HHS P30 CA008748NCI NIH HHS R01 CA267996
6 · The paper itself

Abstract

abstractRapid declines in opioid analgesics dispensed in American communities since 2011 raise concerns about inadequate access to effective pain management among patients for whom opioid therapies are appropriate, especially for those living in racial/ethnic minority and socioeconomically deprived communities. Using 2011 to 2021 national data from the Automated Reports and Consolidated Ordering System and generalized linear models, this study examined quarterly per capita distribution of oxycodone, hydrocodone, and morphine (in oral morphine milligram equivalents [MMEs]) by communities' racial/ethnic and socioeconomic profiles. Communities (defined by 3-digit-zip codes areas) were classified as "majority White" (≥50% self-reported non-Hispanic White population) vs "majority non-White." Community socioeconomic deprivation was measured by quartiles of population-weighted Social Deprivation Index. Overall, majority non-White communities had at least 40% lower mean adjusted per capita distribution than majority White communities across all levels of socioeconomic deprivation. Among the least deprived communities, the adjusted mean per capita distribution was 46.0 (95% confidence interval [CI], 40.0-52.0) for majority non-White vs 82.8 (95% CI, 78.5-87.1) MMEs for majority White communities. Among the most deprived communities, the distribution was 78.0 (95% CI, 70.8-85.1) for majority non-White vs 134.4 (95% CI, 125.4-143.4) MMEs for majority White communities. The lower distribution in majority non-White communities was statistically significant across all socioeconomic deprivation levels and over all study years. Availability of commonly prescribed opioid analgesics was substantially lower in majority non-White communities than in majority White communities across all levels of socioeconomic deprivation. Policies governing opioid analgesic availability warrant careful consideration and potential adjustments.

Indexed as

Analgesics, OpioidPainEthnicityHealthcare DisparitiesHumansRacial GroupsSocioeconomic FactorsUnited StatesAnalgesics, OpioidAccessOpioid analgesicsPain managementRacial and ethnic disparities

Identifiers

PMID39847449
PMCPMC12176522

What OpenQuestion holds

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Registered trials

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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.