Evidence map›Paper›PMID 25916213›Full record

ArticleActa diabetologica2016

Association of diabetes and diabetes treatment with incidence of breast cancer.

Esther García-Esquinas, Elisabeth Guinó, Gemma Castaño-Vinyals, Beatriz Pérez-Gómez, Javier Llorca, Jone M Altzibar, Rosana Peiró-Pérez, Vicente Martín, Concepción Moreno-Iribas, Adonina Tardón and 13 more

Open access · hybridFull text read
In one paragraph

Article in Acta diabetologica, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 23% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Review
  6. Review
  7. Article
  8. Metformin and long non-coding RNAs in breast cancer.Journal of translational medicine · 2023
    Review
  9. RETRACTED: Metformin and Breast Cancer: Where Are We Now?International journal of molecular sciences · 2022
    Review
  10. Article
  11. Article
  12. Evaluation of Feature Selection Techniques for Breast Cancer Risk Prediction.International journal of environmental research and public health · 2021
    Article
  13. Review
  14. Article
  15. A prospective study of type 2 diabetes, metformin use, and risk of breast cancer.Annals of oncology : official journal of the European Society for Medical Oncology · 2021
    Article
  16. Review
  17. Relationship between Diabetes and Diabetes Medications and Risk of Different Molecular Subtypes of Breast Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019
    Article
  18. Cause-specific mortality after a breast cancer diagnosis: a cohort study of 10,195 women in Girona and Tarragona.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2019
    Article
  19. Metformin and Breast Cancer: Molecular Targets.Journal of mammary gland biology and neoplasia · 2019
    Review
  20. 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

23 authors at 13 institutions in 2 countries.

Esther García-EsquinasEnvironmental and Cancer Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health (Instituto de Salud Carlos III-ISCIII), Avda. Monforte de Lemos, 5, 28029, Madrid, Spain.
Elisabeth GuinóConsortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Madrid, Spain.
Gemma Castaño-VinyalsConsortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Madrid, Spain.
Beatriz Pérez-GómezEnvironmental and Cancer Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health (Instituto de Salud Carlos III-ISCIII), Avda. Monforte de Lemos, 5, 28029, Madrid, Spain.
Javier LlorcaConsortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Madrid, Spain.
Jone M AltzibarConsortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Madrid, Spain.
Rosana Peiró-PérezConsortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Madrid, Spain.
Vicente MartínConsortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Madrid, Spain.
Concepción Moreno-IribasPublic Health Institute of Navarra, Pamplona, Spain.
Adonina TardónConsortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Madrid, Spain.
Francisco Javier CaballeroHospital Infanta Elena de Huelva, Huelva, Spain.
Montse Puig-VivesEpidemiology Unit and Girona Cancer Registry (UERCG), Oncology Coordination Plan (PDO), Department of Health, Autonomous Government of Catalonia, Barcelona, Spain.
Marcela GuevaraConsortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Madrid, Spain.
Tania Fernández VillaGrupo de Investigación en Interacción Gen-Ambiente-Salud, Department of Preventive Medicine and Public Health, University of Leon, Leon, Spain.
Dolores SalasConsortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Madrid, Spain.
Pilar AmianoConsortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Madrid, Spain.
Trinidad Dierssen-SotosConsortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Madrid, Spain.
Roberto Pastor-BarriusoEnvironmental and Cancer Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health (Instituto de Salud Carlos III-ISCIII), Avda. Monforte de Lemos, 5, 28029, Madrid, Spain.
María SalaDepartment of Epidemiology and Evaluation, IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
Manolis KogevinasConsortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Madrid, Spain.
Nuria AragonésEnvironmental and Cancer Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health (Instituto de Salud Carlos III-ISCIII), Avda. Monforte de Lemos, 5, 28029, Madrid, Spain.
Víctor MorenoConsortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Madrid, Spain.
Marina PollánEnvironmental and Cancer Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health (Instituto de Salud Carlos III-ISCIII), Avda. Monforte de Lemos, 5, 28029, Madrid, Spain. mpollan@isciii.es.
Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública · ESInstituto de Salud Carlos III · ESBiogipuzkoa Health Research Institute · ESFundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana · ESGovernment of Catalonia · ESHospital del Mar Research Institute · ESInstituto de Investigación Marqués de Valdecilla · ESInstituto de Salud Pública de Navarra · ESMunicipal Institute for Medical Research · ESUniversidad de Cantabria · ESUniversidad de Huelva · ESUniversidad de León · ESUniversidad de Oviedo · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe aim of this study was to evaluate the association of diabetes and diabetes treatment with risk of postmenopausal breast cancer.

methodsHistologically confirmed incident cases of postmenopausal breast (N = 916) cancer were recruited from 23 Spanish public hospitals. Population-based controls (N = 1094) were randomly selected from primary care center lists within the catchment areas of the participant hospitals. ORs (95 % CI) were estimated using mixed-effects logistic regression models, using the recruitment center as a random effect term. Breast tumors were classified into hormone receptor positive (ER+ or PR+), HER2+ and triple negative (TN).

resultsDiabetes was not associated with the overall risk of breast cancer (OR 1.09; 95 % CI 0.82-1.45), and it was only linked to the risk of developing TN tumors: Among 91 women with TN tumors, 18.7 % were diabetic, while the corresponding figure among controls was 9.9 % (OR 2.25; 95 % CI 1.22-4.15). Regarding treatment, results showed that insulin use was more prevalent among diabetic cases (2.5 %) as compared to diabetic controls (0.7 %); OR 2.98; 95 % CI 1.26-7.01. They also showed that, among diabetics, the risk of developing HR+/HER2- tumors decreased with longer metformin use (ORper year 0.89; 95 % CI 0.81-0.99; based on 24 cases and 43 controls).

conclusionThis study reinforces the need to correctly classify breast cancers when studying their association with diabetes. Given the low survival rates in women diagnosed with TN breast tumors and the potential impact of diabetes control on breast cancer prevention, more studies are needed to better characterize this association.

Indexed as

AdultBreast NeoplasmsCase-Control StudiesDiabetes MellitusFemaleHumansIncidenceMetforminMiddle AgedPostmenopauseSpainMetforminBreast cancerDiabetes MellitusInsulinMetforminTriple-negative breast neoplasms

Identifiers

PMID25916213
PMCPMC4749645
OpenAlexW2108672874

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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.