Evidence map›Paper›PMID 41210573›Full record

ArticleProceedings (Baylor University. Medical Center)2025

Socioeconomic status and delayed breast cancer care in Southeast Texas: a retrospective cohort study.

Jacob Thompson, Abdullah Jamal, Sunita Devi, Nency Ganatra, Pragya Jain, Junaid Anwar, Muhammad Khalil, Telice Terro, Samantha Blevins, Eisha Killian

Abstract read
In one paragraph

Article in Proceedings (Baylor University. Medical Center), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Jacob ThompsonDepartment of Medicine, Paul L. Foster School of Medicine, Texas Tech University Health Science Center El Paso, El Paso, Texas, USA.ORCID https://orcid.org/0009-0003-3874-1197
Abdullah JamalDepartment of Medicine, Baptist Hospitals of Southeast Texas, Beaumont, Texas, USA.
Sunita DeviDepartment of Medicine, Baptist Hospitals of Southeast Texas, Beaumont, Texas, USA.
Nency GanatraDepartment of Medicine, Baptist Hospitals of Southeast Texas, Beaumont, Texas, USA.
Pragya JainDepartment of Medicine, Baptist Hospitals of Southeast Texas, Beaumont, Texas, USA.
Junaid AnwarDepartment of Medicine, Baptist Hospitals of Southeast Texas, Beaumont, Texas, USA.ORCID https://orcid.org/0009-0007-6940-2269
Muhammad KhalilDepartment of Medicine, Baptist Hospitals of Southeast Texas, Beaumont, Texas, USA.ORCID https://orcid.org/0009-0006-0332-5726
Telice TerroDepartment of Special Populations Research and Novel Therapeutics, Baptist Hospitals of Southeast Texas, Beaumont, Texas, USA.
Samantha BlevinsDepartment of Special Populations Research and Novel Therapeutics, Baptist Hospitals of Southeast Texas, Beaumont, Texas, USA.ORCID https://orcid.org/0009-0000-3271-5383
Eisha KillianDepartment of Special Populations Research and Novel Therapeutics, Baptist Hospitals of Southeast Texas, Beaumont, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Breast cancer is the most common cancer and the second leading cause of female cancer-related death in the US. Time to treatment initiation is often critical for improving cancer outcomes. Socioeconomic status (SES) is increasingly recognized as influential in cancer treatment efficacy. Methods: This retrospective cohort study investigated associations between SES and delayed breast cancer treatment initiation across treatment modalities in Southeast Texas. Logistic regression models assessed the associations between delays and socioeconomic or clinical characteristics among 609 patients. Results: Regarding overall treatment, males, unmarried patients, younger patients, and Medicaid users experienced increased delay odds, while females, widows, and Medicare users experienced decreased odds. For chemotherapy, Tricare coverage was associated with excessive delay odds. Regarding surgical intervention, African Americans, unmarried patients, younger patients, and Medicaid users experienced increased delay odds, while Caucasians, older patients, and Medicare users experienced decreased odds. For radiation therapy, divorcees and those with Medicare and Medicaid eligibility experienced increased delay odds. Regarding hormone therapy, younger patients and Medicaid users experienced increased delay odds, while older patients and Medicare users experienced decreased odds. For immunotherapy, unmarried patients experienced increased delay odds, while being married conferred lower odds. Conclusion: These results indicate that certain SES factors significantly predict treatment delays in breast cancer care.

Indexed as

Breast cancercancer carecohort studysocioeconomic statusSoutheast Texas

Identifiers

PMID41210573
PMCPMC12591588

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