Evidence map›Paper›PMID 38717774›Full record

ArticleJAMA network open2024

Preexisting Diabetes and Breast Cancer Treatment Among Low-Income Women.

Bayu Begashaw Bekele, Min Lian, Chester Schmaltz, Tracy Greever-Rice, Pratibha Shrestha, Ying Liu

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 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. The impact of hyperglycaemia and/or type 2 diabetes on women with breast cancer undergoing or post-cytotoxic chemotherapy: a systematic literature review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Pooled it
  2. Pooled it
  3. Impact of diabetes mellitus in cancer.The Indian journal of medical research · 2026
    Review
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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

6 authors.

Bayu Begashaw BekeleDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St Louis, Missouri.
Min LianAlvin J. Siteman Cancer Center, Washington University School of Medicine, St Louis, Missouri.
Chester SchmaltzDepartment of Health Management and Informatics, University of Missouri School of Medicine, Columbia.
Tracy Greever-RiceCenter for Health Policy, University of Missouri, Columbia.
Pratibha ShresthaDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St Louis, Missouri.
Ying LiuDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St Louis, Missouri.

Funding

RESIDENTIAL MOBILITY, TREATMENT QUALITY AND SURVIVAL IN LOW-INCOME WOMEN WITH BREAST CANCERR01CA215418 · NCI · WASHINGTON UNIVERSITY · PI LIAN, MIN, LIU, YING · 2018 to 2020
$1.1M
NCI NIH HHS R01 CA215418
6 · The paper itself

Abstract

importanceDiabetes is associated with poorer prognosis of patients with breast cancer. The association between diabetes and adjuvant therapies for breast cancer remains uncertain.

objectiveTo comprehensively examine the associations of preexisting diabetes with radiotherapy, chemotherapy, and endocrine therapy in low-income women with breast cancer. DESIGN, SETTING, AND

participantsThis population-based cohort study included women younger than 65 years diagnosed with nonmetastatic breast cancer from 2007 through 2015, followed up through 2016, continuously enrolled in Medicaid, and identified from the linked Missouri Cancer Registry and Medicaid claims data set. Data were analyzed from January 2022 to October 2023. EXPOSURE: Preexisting diabetes. MAIN OUTCOMES AND MEASURES: Logistic regression was used to estimate odds ratios (ORs) of utilization (yes/no), timely initiation (≤90 days postsurgery), and completion of radiotherapy and chemotherapy, as well as adherence (medication possession ratio ≥80%) and persistence (<90-consecutive day gap) of endocrine therapy in the first year of treatment for women with diabetes compared with women without diabetes. Analyses were adjusted for sociodemographic and tumor factors.

resultsAmong 3704 women undergoing definitive surgery, the mean (SD) age was 51.4 (8.6) years, 1038 (28.1%) were non-Hispanic Black, 2598 (70.1%) were non-Hispanic White, 765 (20.7%) had a diabetes history, 2369 (64.0%) received radiotherapy, 2237 (60.4%) had chemotherapy, and 2505 (67.6%) took endocrine therapy. Compared with women without diabetes, women with diabetes were less likely to utilize radiotherapy (OR, 0.67; 95% CI, 0.53-0.86), receive chemotherapy (OR, 0.67; 95% CI, 0.48-0.93), complete chemotherapy (OR, 0.71; 95% CI, 0.50-0.99), and be adherent to endocrine therapy (OR, 0.71; 95% CI, 0.56-0.91). There were no significant associations of diabetes with utilization (OR, 0.95; 95% CI, 0.71-1.28) and persistence (OR, 1.09; 95% CI, 0.88-1.36) of endocrine therapy, timely initiation of radiotherapy (OR, 1.09; 95% CI, 0.86-1.38) and chemotherapy (OR, 1.09; 95% CI, 0.77-1.55), or completion of radiotherapy (OR, 1.25; 95% CI, 0.91-1.71). CONCLUSIONS AND RELEVANCE: In this cohort study, preexisting diabetes was associated with subpar adjuvant therapies for breast cancer among low-income women. Improving diabetes management during cancer treatment is particularly important for low-income women with breast cancer who may have been disproportionately affected by diabetes and are likely to experience disparities in cancer treatment and outcomes.

Indexed as

Breast NeoplasmsDiabetes MellitusPovertyAdultChemotherapy, AdjuvantCohort StudiesDrug MonitoringFemaleHumansMedicaidMiddle AgedMissouriUnited States

Identifiers

PMID38717774
PMCPMC11079686

What OpenQuestion holds

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LicenceCC BY
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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.