Evidence map›Paper›PMID 38589932›Full record

ArticleBreast cancer research : BCR2024

Clinical factors associated with patterns of endocrine therapy adherence in premenopausal breast cancer patients.

Kirsten M Woolpert, Julie A Schmidt, Thomas P Ahern, Cathrine F Hjorth, Dóra K Farkas, Bent Ejlertsen, Lindsay J Collin, Timothy L Lash, Deirdre P Cronin-Fenton

Abstract read
In one paragraph

Article in Breast cancer research : BCR, 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. Guideline
  2. Pooled it
  3. Development and validation of a nomogram for predicting the probability of medication adherence to adjuvant endocrine therapy in breast cancer patients: a predictive modeling study.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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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

9 authors.

Kirsten M WoolpertDepartment of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus, Denmark. kwoolpert@clin.au.dk.
Julie A SchmidtDepartment of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus, Denmark.
Thomas P AhernDepartment of Surgery, The Robert Larner, M.D. College of Medicine at the University of Vermont, Burlington, VT, USA.
Cathrine F HjorthDepartment of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus, Denmark.
Dóra K FarkasDepartment of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus, Denmark.
Bent EjlertsenOn behalf of the Danish Breast Cancer Group, Rigshospitalet, Copenhagen, Denmark.
Lindsay J CollinDepartment of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.
Timothy L LashDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Deirdre P Cronin-FentonDepartment of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus, Denmark.

Funding

New and integrated perspectives on modification of tamoxifen effectivenessR01CA166825 · NCI · EMORY UNIVERSITY · PI LASH, TIMOTHY L. · 2013 to 2017
$2.8M
Identifying factors associated with ovarian cancer recurrence using a population-based approachK99CA277580 · NCI · UNIVERSITY OF UTAH · PI COLLIN, LINDSAY JANE · 2023 to 2024
$279k
NCI NIH HHS K99CA277580NCI NIH HHS R01 CA166825NCI NIH HHS R01CA166825
6 · The paper itself

Abstract

introductionPatients with hormone receptor positive breast cancer are recommended at least five years of adjuvant endocrine therapy, but adherence to this treatment is often suboptimal. We investigated longitudinal trends in adjuvant endocrine therapy (AET) adherence among premenopausal breast cancer patients and identified clinical characteristics, including baseline comorbidities and non-cancer chronic medication use, associated with AET adherence.

methodsWe included stage I-III premenopausal breast cancer patients diagnosed during 2002-2011 and registered in the Danish Breast Cancer Group clinical database who initiated AET. We used group-based trajectory modeling to describe AET adherence patterns. We also linked patients to Danish population-based registries and fit multinomial logistic models to compute odds ratios (ORs) and 95% confidence intervals (95% CIs) associating clinical characteristics with AET adherence patterns.

resultsWe identified three adherence patterns among 4,353 women-high adherers (57%), slow decliners (36%), and rapid decliners (6.9%). Women with stage I disease (vs. stage II; OR: 1.9, 95% CI 1.5, 2.5), without chemotherapy (vs. chemotherapy; OR: 4.3, 95% CI 3.0, 6.1), with prevalent comorbid disease (Charlson Comorbidity Index score ≥ 1 vs. 0; OR: 1.6, 95% CI 1.1, 2.3), and with a history of chronic non-cancer medication use (vs. none; OR: 1.3, 95% CI 1.0, 1.8) were more likely to be rapid decliners compared with high adherers.

conclusionsWomen with stage I cancer, no chemotherapy, higher comorbidity burden, and history of chronic non-cancer medication use were less likely to adhere to AET. Taking steps to promote adherence in these groups of women may reduce their risk of recurrence.

Indexed as

Breast NeoplasmsAntineoplastic Agents, HormonalChemotherapy, AdjuvantFemaleHumansMedication AdherenceRetrospective StudiesAntineoplastic Agents, HormonalAdherenceAdjuvant endocrine therapyChronic medication useClinical characteristicsComorbiditiesPremenopausal breast cancer

Identifiers

PMID38589932
PMCPMC11003111

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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.