Evidence map›Paper›PMID 38758553›Full record

ArticleJAMA network open2024

Dynamic Projection of Medication Nonpersistence and Nonadherence Among Patients With Early Breast Cancer.

Pierre Rinder, Théo Marcille, Paul Sinel-Boucher, Mallory Cals-Maurette, Dorra Kanoun, Christelle Levy, Luis Teixeira, Pierre Hornus, Daniel Szeftel, Pierre-Etienne Heudel

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
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

10 authors.

Pierre RinderSêmeia, Paris, France.
Théo MarcilleSêmeia, Paris, France.
Paul Sinel-BoucherSêmeia, Paris, France.
Mallory Cals-MauretteSêmeia, Paris, France.
Dorra KanounClinique Pasteur, Toulouse, France.
Christelle LevyCentre François Baclesse, Caen, France.
Luis TeixeiraHôpital Saint Louis AP-HP, Paris, France.
Pierre HornusSêmeia, Paris, France.
Daniel SzeftelSêmeia, Paris, France.
Pierre-Etienne HeudelCentre Leon Bérard, Lyon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Oral endocrine treatments have been shown to be effective when carefully adhered to. However, in patients with early breast cancer, adherence challenges are notable, with 17% experiencing nonpersistence and 41% nonadherence at least once. Objective: To model the persistence of and adherence to oral anticancer treatment of a patient with localized breast cancer. Design, Setting, and Participants: This cohort study was conducted using anonymous reimbursement data belonging to French female patients with breast cancer, extracted from the French Health Insurance database from January 2013 to December 2018. Data analysis was conducted from January 2021 to May 2022. Main Outcomes and Measures: The main outcome was the detection of episodes of nonpersistence and nonadherence 6 months before they happened. Adherence was defined as the ratio between the time covered by a drug purchase and the time between 2 purchases; patients were considered nonadherent if the ratio of their next 3 purchases was less than 80%. Disparities in persistence and adherence based on criteria such as age, treatment type, and income were identified. Results: A total of 229 695 female patients (median [IQR] age, 63 [52-72] years) with localized breast cancer were included. A deep learning model based on a gated-recurrent unit architecture was used to detect episodes of nonpersistence or nonadherence. This model demonstrated an area under the receiving operating curve of 0.71 for persistence and 0.73 for adherence. Analyzing the Shapley Additive Explanations values also gave insights into the contribution of the different features over the model's decision. Patients older than 70 years, with past nonadherence, taking more than 1 treatment in the previous 3 months, and with low income had greater risk of episodes of nonpersistence. Age and past nonadherence, including regularity of past adherence, were also important features in the nonadherence model. Conclusions and Relevance: This cohort study found associations of patient age and past adherence with nonpersistence or nonadherence. It also suggested that regular intervals in treatment purchases enhanced adherence, in contrast to irregular purchasing patterns. This research offers valuable tools for improving persistence of and adherence to oral anticancer treatment among patients with early breast cancer.

Indexed as

Breast NeoplasmsDrug MonitoringMedication AdherenceAgedAntineoplastic AgentsCohort StudiesFemaleFranceHumansMiddle AgedAntineoplastic Agents

Identifiers

PMID38758553
PMCPMC11102020

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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.