Evidence map›Paper›PMID 34209856›Full record

ArticleCancers2021

Impact of Race and Socioeconomics Disparities on Survival in Young-Onset Colorectal Adenocarcinoma-A SEER Registry Analysis.

Mark M Aloysius, Hemant Goyal, Niraj J Shah, Kumar Pallav, Nimy John, Mahesh Gajendran, Abhilash Perisetti, Benjamin Tharian

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.1field-weighted citation impact, top 20% of its field
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

15 citing papers in PubMed, 18 citations in OpenAlex.

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  13. Early-Onset Colorectal Cancer Survival Differences and Potential Geographic Determinants Among Men and Women in Utah.American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting · 2022
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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

8 authors at 5 institutions in 1 country.

Mark M AloysiusDepartment of Internal Medicine, The Wright Center for Graduate Medical Education, 501 S. Washington Avenue, Scranton, PA 18505, USA.ORCID 0000-0001-6191-0524
Hemant GoyalDepartment of Internal Medicine, The Wright Center for Graduate Medical Education, 501 S. Washington Avenue, Scranton, PA 18505, USA.ORCID 0000-0002-9433-9042
Niraj J ShahDivision of Digestive Diseases, University of Mississippi Medical Center, 2500 North State Street, Jackson, MS 39216, USA.
Kumar PallavDivision of Gastroenterology and Hepatology, University of Texas Medical Branch, Galveston, TX 77555, USA.
Nimy JohnDepartment of Gastroenterology and Hepatology, The University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.ORCID 0000-0002-5437-8864
Mahesh GajendranDepartment of Internal Medicine, Texas Tech University Health Science Center El Paso, 2000B Transmountain Road, El Paso, TX 79911, USA.
Abhilash PerisettiDepartment of Gastroenterology and Hepatology, The University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Benjamin TharianDepartment of Gastroenterology and Hepatology, The University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
University of Arkansas for Medical Sciences · USThe Wright Center for Graduate Medical Education · USState Street (United States) · USTexas Tech University · USThe University of Texas Medical Branch at Galveston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWe aimed to assess the impact of socio-economic determinants of health (SEDH) on survival disparities within and between the ethnic groups of young-onset (<50 years age) colorectal adenocarcinoma patients. PATIENTS AND

methodsSurveillance, epidemiology, and end results (SEER) registry was used to identify colorectal adenocarcinoma patients aged between 25-49 years from 2012 and 2016. Survival analysis was performed using the Kaplan-Meir method. Cox proportional hazards model was used to determine the hazard effect of SEDH. American community survey (ACS) data 2012-2016 were used to analyze the impact of high school education, immigration status, poverty, household income, employment, marital status, and insurance type.

resultsA total of 17,145 young-onset colorectal adenocarcinoma patients were studied. Hispanic (H) = 2874, Non-Hispanic American Indian/Alaskan Native (NHAIAN) = 164, Non-Hispanic Asian Pacific Islander (NHAPI) = 1676, Non-Hispanic black (NHB) = 2305, Non-Hispanic white (NHW) = 10,126. Overall cancer-specific survival was, at 5 years, 69 m. NHB (65.58 m) and NHAIAN (65.67 m) experienced worse survival compared with NHW (70.11 m), NHAPI (68.7), and H (68.31). High school education conferred improved cancer-specific survival significantly with NHAPI, NHB, and NHW but not with H and NHAIAN. Poverty lowered and high school education improved cancer-specific survival (CSS) in NHB, NHW, and NHAPI. Unemployment was associated with lowered CSS in H and NAPI. Lower income below the median negatively impacted survival among H, NHAPI NHB, and NHW. Recent immigration within the last 12 months lowered CSS survival in NHW. Commercial health insurance compared with government insurance conferred improved CSS in all groups.

conclusionsSurvival disparities were found among all races with young-onset colorectal adenocarcinoma. The pattern of SEDH influencing survival was unique to each race. Overall higher income levels, high school education, private insurance, and marital status appeared to be independent factors conferring favorable survival found on multivariate analysis.

Indexed as

colon cancercolorectal cancerpovertyracesocioeconomic determinants of healthsurvival

Identifiers

PMID34209856
PMCPMC8268294
OpenAlexW3174839705

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.