Evidence map›Paper›PMID 38967928›Full record

ArticleJAMA network open2024

Biomarker Testing Disparities in Metastatic Colorectal Cancer.

Saad Sabbagh, María Herrán, Ali Hijazi, Iktej Singh Jabbal, Mohamed Mohanna, Barbara Dominguez, Mira Itani, Kaylee Sarna, Hong Liang, Zeina Nahleh and 2 more

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. East meets West: The winning combination againstWorld journal of clinical oncology · 2025
    Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Saad SabbaghDepartment of Hematology-Oncology, Maroone Cancer Center, Cleveland Clinic Florida, Weston.
María HerránDepartment of Hematology-Oncology, Maroone Cancer Center, Cleveland Clinic Florida, Weston.
Ali HijaziDepartment of Hematology-Oncology, Maroone Cancer Center, Cleveland Clinic Florida, Weston.
Iktej Singh JabbalDepartment of Internal Medicine, Advent Health Sebring, Sebring, Florida.
Mohamed MohannaDepartment of Hematology-Oncology, Maroone Cancer Center, Cleveland Clinic Florida, Weston.
Barbara DominguezDepartment of Hematology-Oncology, Maroone Cancer Center, Cleveland Clinic Florida, Weston.
Mira ItaniDepartment of Hematology-Oncology, Maroone Cancer Center, Cleveland Clinic Florida, Weston.
Kaylee SarnaDepartment of Clinical Research, Cleveland Clinic Florida, Weston.
Hong LiangDepartment of Clinical Research, Cleveland Clinic Florida, Weston.
Zeina NahlehDepartment of Hematology-Oncology, Maroone Cancer Center, Cleveland Clinic Florida, Weston.
Steven D WexnerEllen Leifer Shulman and Steven Shulman Digestive Disease Center, Cleveland Clinic Florida, Weston.
Arun NagarajanDepartment of Hematology-Oncology, Maroone Cancer Center, Cleveland Clinic Florida, Weston.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Among patients with metastatic colorectal cancer (mCRC), data are limited on disparate biomarker testing and its association with clinical outcomes on a national scale. Objective: To evaluate the socioeconomic and demographic inequities in microsatellite instability (MSI) and KRAS biomarker testing among patients with mCRC and to explore the association of testing with overall survival (OS). Design, Setting, and Participants: This cohort study, conducted between November 2022 and March 2024, included patients who were diagnosed with mCRC between January 1, 2010, and December 31, 2017. The study obtained data from the National Cancer Database, a hospital-based cancer registry in the US. Patients with mCRC and available information on biomarker testing were included. Patients were classified based on whether they completed or did not complete MSI or KRAS tests. Exposure: Demographic and socioeconomic factors, such as age, race, ethnicity, educational level in area of residence, median household income, insurance type, area of residence, facility type, and facility location were evaluated. Main Outcomes and Measures: The main outcomes were MSI and KRAS testing between the date of diagnosis and the date of first-course therapy. Univariable and multivariable logistic regressions were used to identify the relevant factors in MSI and KRAS testing. The OS outcomes were also evaluated. Results: Among the 41 061 patients included (22 362 males [54.5%]; mean [SD] age, 62.3 [10.1] years; 17.3% identified as Black individuals, 78.0% as White individuals, 4.7% as individuals of other race, with 6.5% Hispanic or 93.5% non-Hispanic ethnicity), 28.8% underwent KRAS testing and 43.7% received MSI testing. A significant proportion of patients had Medicare insurance (43.6%), received treatment at a comprehensive community cancer program (40.5%), and lived in an area with lower educational level (51.3%). Factors associated with a lower likelihood of MSI testing included age of 70 to 79 years (relative risk [RR], 0.70; 95% CI, 0.66-0.74; P < .001), treatment at a community cancer program (RR, 0.74; 95% CI, 0.70-0.79; P < .001), rural residency (RR, 0.80; 95% CI, 0.69-0.92; P < .001), lower educational level in area of residence (RR, 0.84; 95% CI, 0.79-0.89; P < .001), and treatment at East South Central facilities (RR, 0.67; 95% CI, 0.61-0.73; P < .001). Similar patterns were observed for KRAS testing. Survival analysis showed modest OS improvement in patients with MSI testing (hazard ratio, 0.93; 95% CI, 0.91-0.96; P < .001). The median (IQR) follow-up time for the survival analysis was 13.96 (3.71-29.34) months. Conclusions and Relevance: This cohort study of patients with mCRC found that older age, community-setting treatment, lower educational level in area of residence, and treatment at East South Central facilities were associated with a reduced likelihood of MSI and KRAS testing. Highlighting the sociodemographic-based disparities in biomarker testing can inform the development of strategies that promote equity in cancer care and improve outcomes for underserved populations.

Indexed as

Biomarkers, TumorColorectal NeoplasmsHealthcare DisparitiesMicrosatellite InstabilityProto-Oncogene Proteins p21(ras)AgedCohort StudiesFemaleHumansMaleMiddle AgedNeoplasm MetastasisSocioeconomic FactorsUnited StatesBiomarkers, TumorKRAS protein, humanProto-Oncogene Proteins p21(ras)

Identifiers

PMID38967928
PMCPMC11227072

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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.