Evidence map›Paper›PMID 34197047›Full record

ArticleCancer medicine2021

The impact of socioeconomic status on survival in stage III colon cancer patients: A retrospective cohort study using the SEER census-tract dataset.

Amina Dhahri, Jori Kaplan, Syeda M H Naqvi, Naomi C Brownstein, Shana O Ntiri, Iman Imanirad, Seth I Felder, Sean P Dineen, Julian Sanchez, Sophie Dessureault and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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 at 3 institutions in 1 country.

Amina DhahriDepartment of Internal Medicine, University of Maryland Capital Region Health, Largo, MD, USA.ORCID 0000-0003-2248-0327
Jori KaplanDepartment of Hematology and Medical Oncology, Moffitt Cancer Center, University of South Florida, Tampa, FL, USA.
Syeda M H NaqviDepartment of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, FL, USA.
Naomi C BrownsteinDepartment of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, FL, USA.ORCID 0000-0002-9991-427X
Shana O NtiriThe University of Maryland Greenbaum Comprehensive Cancer Center, University of Maryland Greenbaum Comprehensive Cancer Center, Baltimore, MD, USA.
Iman ImaniradDepartment of Hematology and Medical Oncology, Moffitt Cancer Center, University of South Florida, Tampa, FL, USA.
Seth I FelderDepartment of Hematology and Medical Oncology, Moffitt Cancer Center, University of South Florida, Tampa, FL, USA.
Sean P DineenDepartment of Hematology and Medical Oncology, Moffitt Cancer Center, University of South Florida, Tampa, FL, USA.
Julian SanchezDepartment of Hematology and Medical Oncology, Moffitt Cancer Center, University of South Florida, Tampa, FL, USA.
Sophie DessureaultDepartment of Hematology and Medical Oncology, Moffitt Cancer Center, University of South Florida, Tampa, FL, USA.
Estrella CarballidoDepartment of Hematology and Medical Oncology, Moffitt Cancer Center, University of South Florida, Tampa, FL, USA.
Benjamin D PowersDepartment of Hematology and Medical Oncology, Moffitt Cancer Center, University of South Florida, Tampa, FL, USA.
University of South Florida · USUniversity of Maryland, Baltimore · USSchiller International University · US

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI Christine O'Connell · 1998 to 2026
$93.5M
NCI NIH HHS P30 CA076292
6 · The paper itself

Abstract

backgroundThe impact of socioeconomic status (SES) has been described for screening and accessing treatment for colon cancer. However, little is known about the "downstream" effect in patients who receive guideline-concordant treatment. This study assessed the impact of SES on cancer-specific survival (CSS) and overall survival (OS) for stage III colon cancer patients.

methodsThe SEER Census Tract-Level SES Dataset from 2004 to 2015 was used to identify stage III colon adenocarcinoma patients who received curative-intent surgery and adjuvant chemotherapy. The predictor variable was census tract SES. SES was analyzed as quintiles. The outcome variables were OR and CSS. Statistical analysis included chi square tests for association, Kaplan-Meier, Cox, Fine and Gray regression for survival analysis.

resultsIn total, 27,222 patients met inclusion criteria. Lower SES was associated with younger age, Black or Hispanic race/ethnicity, Medicaid/uninsured, higher T stage, and lower grade tumors. CSS at the 25th percentile was 54 months for the lowest SES quintile and 80 for the highest. Median OS was 113 months for the lowest SES quintile and not reached for highest. The 5-year CSS rate was 72.4% for the lowest SES quintile compared to 78.9% in the highest (p < 0.001). The 5-year OS rate was 66.5% for the lowest SES quintile and 74.6% in the highest (p < 0.001).

conclusionThis is the first study to evaluate CSS and OS in an incidence-based cohort of stage III colon cancer patients using a granular, standardized measure of SES. Despite receipt of guideline-based treatment, SES was associated with disparities in CSS and OS.

Indexed as

Social ClassAdenocarcinomaAgedCensus TractColonic NeoplasmsDatasets as TopicFemaleHumansMaleMiddle AgedNeoplasm StagingRetrospective StudiesSEER ProgramSocial Determinants of HealthSurvival AnalysisSurvival Ratecensus tractSEERsocioeconomicstage III colon cancersurvival

Identifiers

PMID34197047
PMCPMC8366079
OpenAlexW3175633221

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.