Evidence map›Paper›PMID 39523293›Full record

ArticleAnnals of surgical oncology2025

Disparities in Next-Generation Genetic Sequencing Among Individuals with Cancer.

Muhammad Muntazir Mehdi Khan, Mujtaba Khalil, Hunter Stecko, Timothy M Pawlik

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Article in Annals of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

4 authors.

Muhammad Muntazir Mehdi KhanDepartment of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, 395 W. 12th Ave., Suite 670, Columbus, OH, USA.
Mujtaba KhalilDepartment of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, 395 W. 12th Ave., Suite 670, Columbus, OH, USA.
Hunter SteckoDepartment of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, 395 W. 12th Ave., Suite 670, Columbus, OH, USA.
Timothy M PawlikDepartment of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, 395 W. 12th Ave., Suite 670, Columbus, OH, USA. Tim.Pawlik@osumc.edu.ORCID http://orcid.org/0000-0002-7994-9870

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe sought to investigate disparities in the utilization of next-generation genetic sequencing (NGS) across demographic groups related to several  common cancer subtypes.

methodsData on patients aged 65 years or older with a diagnosis of gastrointestinal, lung, and breast cancer between 2015 and 2020 were obtained from the Medicare Standard Analytic Files. Propensity score matching was employed to reduce selection bias, and logistic regression analysis was performed to investigate racial, ethnic, and sex-based disparities in NGS utilization.

resultsAmong 1,466,105 individuals, only 1.8% (n = 26,608) underwent NGS. Median patient age was 76 years (IQR 71-82), 36.8% (n = 539,201) of patients were male, and 87.8% (n = 1,287,805) were non-Hispanic White. Of note, minority patients, including non-Hispanic Black individuals (no NGS: 7.2% vs. NGS: 5.2%) and Hispanics (no NGS: 0.9% vs. NGS: 0.5%), as well as individuals residing in socially vulnerable neighborhoods (no NGS: 32.6% vs. NGS: 30.7%) were less likely to undergo NGS testing (all p < 0.001). On multivariable analysis, non-Hispanic Black race/ethnicity (odds ratio [OR] 0.74, 95% confidence interval [CI] 0.69-0.78), Hispanic race/ethnicity (OR 0.64, 95% CI 0.53-0.77), and males (OR 0.97, 95% CI 0.94-0.99) remained at lower odds of undergoing NGS.

conclusionNon-Hispanic Black and Hispanic patients, along with socioeconomically vulnerable individuals, were less likely to undergo NGS. Addressing these inequities is crucial to ensure that all patients have equal opportunities to receive effective, personalized cancer care that is equitable across diverse populations.

Indexed as

Genetic TestingHealthcare DisparitiesHigh-Throughput Nucleotide SequencingAgedAged, 80 and overBreast NeoplasmsFemaleFollow-Up StudiesGastrointestinal NeoplasmsHispanic or LatinoHumansLung NeoplasmsMaleNeoplasmsPrognosisUnited States

Identifiers

PMID39523293

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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.