Evidence map›Paper›PMID 24899083›Full record

ArticleBreast cancer research and treatment2014

The influence of diabetes severity on receipt of guideline-concordant treatment for breast cancer.

Susan A Sabatino, Trevor D Thompson, Xiao-Cheng Wu, Steven T Fleming, Gretchen G Kimmick, Amy Trentham-Dietz, Rosemary Cress, Roger T Anderson

Open access · greenAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 27% 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, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Impact of diabetes (type 2) and glycemic control on health-related outcomes of patients receiving chemotherapy for non-metastatic breast cancer: a retrospective analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Article
  5. Examination of individual and multiple comorbid conditions and health-related quality of life in older cancer survivors.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
    Article
  6. Article
  7. Article
  8. Diabetes and Overall Survival among Breast Cancer Patients in the U.S. Military Health System.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2018
    Article
  9. Article
  10. 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

8 authors at 7 institutions in 1 country.

Susan A SabatinoDivision of Cancer Prevention and Control, Centers for Disease Control and Prevention, 4770 Buford Highway MS-F76, Atlanta, GA, 30341, USA, ssabatino@cdc.gov.
Trevor D Thompson
Xiao-Cheng Wu
Steven T Fleming
Gretchen G Kimmick
Amy Trentham-Dietz
Rosemary Cress
Roger T Anderson
Centers for Disease Control and Prevention · USDuke Medical Center · USLouisiana State University Health Sciences Center New Orleans · USPenn State Milton S. Hershey Medical Center · USPublic Health Institute · USUniversity of Kentucky · USUniversity of Wisconsin–Madison · US

Funding

Breast and Prostate Cancer Patterns of CareU01DP000260 · DP · PUBLIC HEALTH INSTITUTE · PI CRESS, ROSEMARY DONALDSON · 2005 to 2009
$693k
Intramural CDC HHS CC999999NCCDPHP CDC HHS U01 DP000260
6 · The paper itself

Abstract

Diabetes severity may influence breast cancer treatment choices. We examined whether receipt of guideline-concordant breast cancer treatment varied with diabetes severity. Cancer registry data from seven states regarding 6,912 stage I-III breast cancers were supplemented by medical record abstraction and physician verification. We used logistic regression models to examine associations of diabetes severity with guideline-concordant locoregional treatment, adjuvant chemotherapy, and hormonal therapy adjusted for sociodemographics, comorbidity, and tumor characteristics. We defined guideline concordance using National Comprehensive Cancer Network guidelines, and diabetes and comorbidities using the Adult Comorbidity Evaluation-27 index. After adjustment, there was significant interaction of diabetes severity with age for locoregional treatment (p = 0.001), with many diabetic women under age 70 less frequently receiving guideline-concordant treatment than non-diabetic women. Among similarly aged women, guideline concordance was lower for women with mild diabetes in their late fifties through mid-sixties, and with moderate/severe diabetes in their late forties to early sixties. Among women in their mid-seventies to early eighties, moderate/severe diabetes was associated with increased guideline concordance. For adjuvant chemotherapy, moderate/severe diabetes was less frequently associated with guideline concordance than no diabetes [OR 0.58 (95 % CI 0.36-0.94)]. Diabetes was not associated with guideline-concordant hormonal treatment (p = 0.929). Some diabetic women were less likely to receive guideline-concordant treatment for stage I-III breast cancer than non-diabetic women. Diabetes severity was associated with lower guideline concordance for locoregional treatment among middle-aged women, and lower guideline concordance for adjuvant chemotherapy. Differences were not explained by comorbidity and may contribute to potentially worse breast cancer outcomes.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorBreast NeoplasmsComorbidityDiabetes MellitusFemaleHumansMiddle AgedNeoplasm GradingNeoplasm MetastasisNeoplasm StagingRegistriesSeverity of Illness IndexTumor BurdenBiomarkers, Tumor

Identifiers

PMID24899083
PMCPMC5865401
OpenAlexW2080668624

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.