Evidence map›Paper›PMID 32591988›Full record

ArticleBreast cancer research and treatment2020

Incidence and Predictors of Diabetes Mellitus after a Diagnosis of Early-Stage Breast Cancer in the Elderly Using Real-World Data.

Melissa K Accordino, Jason D Wright, Donna Buono, Aijing Lin, Yongmei Huang, Alfred I Neugut, Grace C Hillyer, Dawn L Hershman

Open access · greenAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2020. 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
0.6field-weighted citation impact, top 35% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  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. Weight change and diabetes risk following breast cancer: a nationwide cohort study.Journal of cancer survivorship : research and practice · 2025
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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 1 institution in 1 country.

Melissa K AccordinoDepartment of Medicine, Columbia University College of Physicians and Surgeons, New York, NY, USA. Mkg2134@cumc.columbia.edu.
Jason D WrightHerbert Irving Comprehensive Cancer Center, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Donna BuonoDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Aijing LinDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Yongmei HuangDepartment of Obstetrics and Gynecology, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Alfred I NeugutDepartment of Medicine, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Grace C HillyerHerbert Irving Comprehensive Cancer Center, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Dawn L HershmanDepartment of Medicine, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Columbia University · US

Funding

Institutional Career Development CoreKL2TR001874 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GENKINGER, JEANINE M., SHIMBO, DAICHI · 2016 to 2025
$13.6M
Breast Cancer Research Foundation ASCO Career Development AwardBreast Cancer Research Foundation Research ProfessorshipConquer Cancer Foundation Career Develpment AwardConquer Cancer Foundation Research ProfessorshipNCATS NIH HHS KL2 TR001874
6 · The paper itself

Abstract

purposeThe incidence and predictors of diabetes (DM) in patients with breast cancer (BC) were evaluated. We compared DM incidence and physician access in BC patients to matched controls.

methodsWe identified women with stage I-III BC diagnosed from 2005 to 2013 in the SEER-Medicare database, with ≥ 2 years of follow-up after diagnosis, without previous DM claims. Incident DM was determined by ≥ 1 DM claims after BC diagnosis. Multivariable analysis was used to identify factors associated with incident DM. Age- and race-matched non-cancer controls were obtained from a 5% random sample and assigned an index date. Physician and PCP visits per-patient-per-year were compared between cases and controls in the two-year period prior to and after the index date.

resultsAmong 14,506 eligible BC patients, 3234 (22.3%) developed DM versus 16.5% of controls. Among BC patients, factors associated with incident DM included race (Black OR 1.63 95% CI 1.39-1.93, Hispanic OR 3.03 95% CI 1.92-4.81; vs. Caucasians), SES (Quintile 0 vs. Quintile 4 OR 1.55 95% CI 1.33-1.78), and receipt of chemotherapy (vs. none OR 1.19 95% CI 1.08-1.31). Among cases and controls, respectively, median physician visits per-patient-per-year were 19 and 17 prior to the index date, and 46 and 19 after the index date; median PCP visits were 2 for both groups in both periods.

conclusionAbout 22% of BC patients developed DM, more than controls in the same period. While there were differences in healthcare access, there weren't differences in PCP access between groups. This represents an opportunity for better comorbidity management in BC patients.

Indexed as

EstrogensProgesteroneAgedAged, 80 and overAge FactorsBreast NeoplasmsCase-Control StudiesComorbidityDiabetes MellitusEthnicityFemaleHumansHyperlipidemiasHypertensionIncidenceMiddle AgedEstrogensProgesteroneBreast cancerDiabetes mellitusHealth services researchSEER-medicare

Identifiers

PMID32591988
PMCPMC8403515
OpenAlexW3037652364

What OpenQuestion holds

Textmetadata
LicenceTDM
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.