ArticleJournal of the American Medical Informatics Association : JAMIA2018
The therapy is making me sick: how online portal communications between breast cancer patients and physicians indicate medication discontinuation.
Article in Journal of the American Medical Informatics Association : JAMIA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.
- Pooled it
- The impact of medication side effects on adherence and persistence to hormone therapy in breast cancer survivors: A quantitative systematic review.Breast (Edinburgh, Scotland) · 2022Pooled it
- The Application of eHealth in Symptom Management of Patients With Breast Cancer During Endocrine Therapy: Scoping Literature Review.JMIR cancer · 2026Article
- A scoping review of studies on secure messaging through patient portals: persistent challenges and potential solutions.npj health systems · 2026Article
- Unsupervised Large Language Models to Identify Topics in Cancer Center Patient Portal Messages.JCO clinical cancer informatics · 2025Article
- Characterizing patient portal use of people with cognitive impairment and potentially inappropriate medications.Journal of the American Geriatrics Society · 2025Article
- Advancing cancer care through digital access in the USA: a state-of-the-art review of patient portals in oncology.BMJ oncology · 2025Review
- Optimizing word embeddings for small dataset: a case study on patient portal messages from breast cancer patients.Scientific reports · 2024Article
- Artificial intelligence to unlock real-world evidence in clinical oncology: A primer on recent advances.Cancer medicine · 2024Review
- Optimizing Word Embeddings for Patient Portal Message Datasets with a Small Number of Samples.Research square · 2024Article
- The Hidden Patient Connections: Predicting Hormonal Therapy Medication Discontinuation Using Hypergraph Neural Network on Clinical Communications.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023Article
- Systematic adaptation of the adherence improving self-management strategy to support breast cancer survivors' adherence to adjuvant endocrine therapy: An intervention mapping approach.European journal of cancer care · 2022Review
- Active neural networks to detect mentions of changes to medication treatment in social media.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Article
- Probing Patient Messages Enhanced by Natural Language Processing: A Top-Down Message Corpus Analysis.Health data science · 2021Article
- Review
- Natural language processing for abstraction of cancer treatment toxicities: accuracy versus human experts.JAMIA open · 2020Article
- Understanding Weight Loss via Online Discussions: Content Analysis of Reddit Posts Using Topic Modeling and Word Clustering Techniques.Journal of medical Internet research · 2020Article
- Use of Natural Language Processing to Extract Clinical Cancer Phenotypes from Electronic Medical Records.Cancer research · 2019Review
- Applying a User-Centered Approach to Building a Mobile Personal Health Record App: Development and Usability Study.JMIR mHealth and uHealth · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Online platforms have created a variety of opportunities for breast patients to discuss their hormonal therapy, a long-term adjuvant treatment to reduce the chance of breast cancer occurrence and mortality. The goal of this investigation is to ascertain the extent to which the messages breast cancer patients communicated through an online portal can indicate their potential for discontinuing hormonal therapy. Materials and Methods: We studied the de-identified electronic medical records of 1106 breast cancer patients who were prescribed hormonal therapy at Vanderbilt University Medical Center over a 12-year period. We designed a data-driven approach to investigate patients' patterns of messaging with healthcare providers, the topics they communicated, and the extent to which these messaging behaviors associate with the likelihood that a patient will discontinue a prescribed 5-year regimen of therapy. Results: The results indicates that messaging rate over time [hazard ratio (HR) = 1.373, P = 0.002], mentions of side effects (HR = 1.214, P = 0.006), and surgery-related topics (HR = 1.170, P = 0.034) were associated with increased risk of early medication discontinuation. In contrast, seeking professional suggestions (HR = 0.766, P = 0.002), expressing gratitude to healthcare providers (HR = 0.872, P = 0.044), and mentions of drugs used to treat side effects (HR = 0.807, P = 0.013) were associated with decreased risk of medication discontinuation. Discussion and Conclusion: This investigation suggests that patient-generated content can inform the study of health-related behaviors. Given that approximately 50% of breast cancer patients do not complete a course of hormonal therapy as described, the identification of factors associated with medication discontinuation can facilitate real-time interventions to prevent early discontinuation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.