Evidence map›Paper›PMID 39298390›Full record

ArticlePloS one2024

Adherence to cardiovascular medications and risk of cardiovascular disease in breast cancer patients: A causal inference approach in the Pathways Heart Study.

Marilyn L Kwan, Noel Pimentel, Monika Izano, Carlos Iribarren, Jamal S Rana, Mai Nguyen-Huynh, Richard Cheng, Cecile A Laurent, Valerie S Lee, Janise M Roh and 5 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Marilyn L KwanDivision of Research, Kaiser Permanente Northern California, Pleasanton, California, United States of America.ORCID 0000-0001-8863-3950
Noel PimentelDivision of Research, Kaiser Permanente Northern California, Pleasanton, California, United States of America.
Monika IzanoInsights Epidemiology and Analytics, Syapse, San Francisco, California, United States of America.
Carlos IribarrenDivision of Research, Kaiser Permanente Northern California, Pleasanton, California, United States of America.
Jamal S RanaDivision of Research, Kaiser Permanente Northern California, Pleasanton, California, United States of America.
Mai Nguyen-HuynhDivision of Research, Kaiser Permanente Northern California, Pleasanton, California, United States of America.
Richard ChengDivision of Cardiology, University of Washington Medical Center, Seattle, Washington, United States of America.
Cecile A LaurentDivision of Research, Kaiser Permanente Northern California, Pleasanton, California, United States of America.
Valerie S LeeDivision of Research, Kaiser Permanente Northern California, Pleasanton, California, United States of America.
Janise M RohDivision of Research, Kaiser Permanente Northern California, Pleasanton, California, United States of America.
Eileen Rillamas-SunDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington, United States of America.
Dawn L HershmanMedical Oncology, Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, New York, United States of America.
Lawrence H KushiDivision of Research, Kaiser Permanente Northern California, Pleasanton, California, United States of America.
Heather GreenleeDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington, United States of America.
Romain NeugebauerDivision of Research, Kaiser Permanente Northern California, Pleasanton, California, United States of America.

Funding

Infrastructure for Pathways, a Prospective Study of Breast Cancer SurvivorshipU01CA195565 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI AMBROSONE, CHRISTINE B., KUSHI, LAWRENCE H · 2016 to 2025
$18.8M
Predictors of CVD among breast cancer survivors in an integrated health systemR01CA214057 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI GREENLEE, HEATHER, KWAN, MARILYN L · 2017 to 2020
$2.6M
Developing CVD prediction models for women with early stage breast cancerU01CA214057 · NCI · FRED HUTCHINSON CANCER CENTER · PI Heather Greenlee · 2025 to 2026
$1.5M
NCI NIH HHS R01 CA214057NCI NIH HHS U01 CA195565NCI NIH HHS U01 CA214057
6 · The paper itself

Abstract

purposeWomen with breast cancer (BC) are at high risk of developing cardiovascular disease (CVD). We examined adherence to CVD medications and their association with major CVD events over 14 years of follow-up in the Pathways Heart Study, a prospective study of 4,776 stage I-III BC patients diagnosed from 2005-2013.

methodsEligibility included being alive 6 months post-BC diagnosis, with dyslipidemia, hypertension, or diabetes at diagnosis along with ≥1 prior outpatient order or dispensing for a statin, anti-hypertensive, or diabetes medication, respectively, in the 30 months prior. Medication adherence was measured from pharmacy data to calculate cumulative average adherence (CAA). Incident heart failure (HF), ischemic heart disease (IHD), and stroke were determined via validated diagnosis and procedure codes. Working marginal structural models (MSM) fitted with inverse probability weighting evaluated the effect of adherence regimens on the hazards for each CVD event, while controlling for baseline and time-varying confounders. MSM parameterizations included: 1) CAA<100% versus CAA = 100% (ref), 2) CAA<80% versus CAA≥80% (ref) and 3) CAA<80% versus 80%≤CAA<100% versus CAA = 100%.

resultsPoor statin adherence (CAA<80%) was associated with higher risk of composite CVD (HR = 2.54; 95% CI: 1.09, 5.94) versus CAA≥80%. Poor statin adherence was also associated with a higher risk of stroke (HR = 8.13; 95% CI: 2.03, 32.51) but not risk of IHD and HF. Further, compared with perfect adherence (CAA = 100%), good adherence (80%≤CAA<100%) was associated with lower risk (HR = 0.35; 95% CI: 0.13, 0.92) while poor adherence (CAA<80%) was associated with higher risk of composite CVD (HR = 2.45; 95% CI: 1.05, 5.70). Levels of adherence to anti-hypertensives and diabetes medications had mixed or null associations with risk of CVD.

conclusionsMaintaining good adherence (≥80%) to statins after BC treatment is beneficial for cardiovascular health in patients with dyslipidemia. Future studies should determine factors associated with lower adherence to statins and ways to improve adherence.

Indexed as

Breast NeoplasmsCardiovascular DiseasesDrug MonitoringAgedCardiovascular AgentsFemaleHeart FailureHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMiddle AgedProspective StudiesRisk FactorsCardiovascular AgentsHydroxymethylglutaryl-CoA Reductase Inhibitors

Identifiers

PMID39298390
PMCPMC11412667

What OpenQuestion holds

Texttitle and abstract
LicenceCC BY
Read underepoch 390

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.