Evidence map›Paper›PMID 41945343›Full record

ArticleJAMA network open2026

Trends and Disparities in the Use of Next-Generation Sequencing in Patients With Cancer in the United States.

Chadi Hage Chehade, Zeynep Irem Ozay, Yeonjung Jo, Georges Gebrael, Nicolas Sayegh, Micah Ostrowski, Ayana Srivastava, Diya Garg, Tanner Hardy, Ethan G Murdock and 7 more

Erratum issuedAbstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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. Article
  3. Error in Abstract and Conclusions.JAMA network open · 2026
    Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Chadi Hage ChehadeDivision of Medical Oncology, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City.
Zeynep Irem OzayDivision of Medical Oncology, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City.
Yeonjung JoCancer Biostatistics, Huntsman Cancer Institute, University of Utah, Salt Lake City.
Georges GebraelDivision of Medical Oncology, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City.
Nicolas SayeghDivision of Medical Oncology, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City.
Micah OstrowskiDivision of Medical Oncology, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City.
Ayana SrivastavaDivision of Medical Oncology, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City.
Diya GargDivision of Medical Oncology, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City.
Tanner HardyDivision of Medical Oncology, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City.
Ethan G MurdockDivision of Medical Oncology, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City.
Arshit NarangDivision of Medical Oncology, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City.
Vinay Mathew ThomasDivision of Medical Oncology, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City.
Haoran LiDivision of Medical Oncology, Department of Internal Medicine, University of Kansas Cancer Center, Westwood.
Benjamin L MaughanDivision of Medical Oncology, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City.
Soumyajit RoyDepartment of Radiation Oncology, University Hospitals Seidman Cancer Center, Case Western Reserve University, Cleveland, Ohio.
Neeraj AgarwalDivision of Medical Oncology, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City.
Umang SwamiDivision of Medical Oncology, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Life-prolonging targeted therapies are available based on alterations detected on next-generation sequencing (NGS); however, clinical data on NGS adoption are limited. Objective: To assess trends and disparities in NGS among patients with common advanced or metastatic cancers. Design, Setting, and Participants: Retrospective cohort study of 280 US-based cancer clinics (approximately 800 sites of care) using electronic health record-derived deidentified information from Flatiron Health Research Database. Participants were patients diagnosed with metastatic breast (mBC), metastatic prostate (mPC), advanced non-small cell lung (aNSCLC), metastatic colorectal (mCRC), and metastatic pancreatic (mPanC) cancers between January 1, 2018, and December 30, 2022. Data were analyzed from April 2024 to December 2025. Main Outcomes and Measures: Time to NGS from diagnosis, considering death as competing risk. Multivariable cause-specific Weibull accelerated failure time models evaluated association of socioeconomic status (SES), race and ethnicity, insurance type, practice setting, and sex with time to NGS. Results: Overall, 63 294 patients with advanced or metastatic cancer who underwent NGS were eligible and included: 12 085 with mBC (19.1%), 4341 with mPC (6.9%), 27 050 with aNSCLC (42.7%), 13 648 with mCRC (21.6%), and 6170 with mPanC (9.7%). The median (IQR) age was 68 (60-76) years and 33 975 patients (53.7%) were female; 1703 (2.7%) were Asian, 6551 (10.0%) were Black, 3772 (6.0%) were Hispanic, 38 318 (61.0%) were White, and 12 950 (20.3%) were other races and ethnicities. One-year cumulative incidence of NGS increased in patients diagnosed in 2022 compared with 2018 across all cancer types. Significantly longer time to NGS (time ratio [TR]) was observed in those with mBC with low SES (1, lowest: TR, 1.3; 95% CI, 1.1-1.6; 2: TR, 1.3; 95% CI, 1.1-1.5), those who were Hispanic (TR, 1.4; 95% CI, 1.2-1.7), or those on Medicare (TR, 1.5; 95% CI, 1.3-1.8). Longer TRs were also observed in those with mPC and Hispanic ethnicity (TR, 1.6; 95% CI, 1.3-2.1), those on Medicaid (TR, 2.0; 95% CI, 1.2-3.5), those with aNSCLC with low SES (1, lowest: TR, 1.6; 95% CI, 1.5-1.8; 2: TR, 1.4; 95% CI, 1.3-1.6; 3: TR, 1.2; 95% CI, 1.1-1.3), Black patients (TR, 1.4; 95% CI, 1.2-1.5), and those on Medicare (TR, 1.4; 95% CI, 1.3-1.5). For mCRC, TRs were elevated for those with low SES (1, lowest: TR, 1.3; 95% CI, 1.1-1.5; 2: TR, 1.1; 95% CI, 1.0-1.3), Black patients (TR, 1.4; 95% CI, 1.2-1.6), Hispanic patients (TR, 1.4; 95% CI, 1.2-1.6), and those on Medicare (TR, 1.4; 95% CI, 1.3-1.6). Elevated TRs were also observed for mPanC in Black patients (TR, 1.5; 95% CI, 1.2-1.8) and those on Medicare (TR, 1.3; 95% CI, 1.1-1.5). Conclusions and Relevance: In this cohort study, most patients with advanced or metastatic cancers did not undergo tumor genomic testing. Low SES, Black race or Hispanic ethnicity, and Medicaid or Medicare coverage were associated with significantly longer time to NGS, highlighting the need for awareness and health care policies aimed at bridging these gaps.

Indexed as

Healthcare DisparitiesHigh-Throughput Nucleotide SequencingNeoplasmsAgedFemaleHumansMaleMiddle AgedRetrospective StudiesSocioeconomic Disparities in HealthUnited States

Identifiers

PMID41945343
PMCPMC13058762

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.