ArticleNPJ digital medicine2025
Digital humanistic program to manage premature frailty in young breast cancer survivors with gender perspective.
Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 3 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
6 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Patient-Facing AI-Enabled Digital Health Technologies and Quality of Life in Cancer: Systematic Review and Exploratory Meta-Analysis.JMIR mHealth and uHealth · 2026Pooled it
- The Relationship Between Climate Change and Breast Cancer and Its Management and Preventative Implications in South Africa.International journal of environmental research and public health · 2025Pooled it
- Digital Behavior Change Interventions to Promote Physical Activity and Reduce Sedentary Behavior Among Survivors of Breast Cancer: Systematic Review and Meta-Analysis of Randomized Controlled Trials.Journal of medical Internet research · 2025Pooled it
- The Analytical Framework of Clinical Trials Evaluating Clinical Outcomes of Artificial Intelligence-Based Digital Health Interventions: A Systematic Literature Review.Journal of market access & health policy · 2026Review
- User profiles of young breast cancer survivors on Chinese social media: machine learning-based text mining analysis study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- An evaluation of DeepSeek and healthcare professionals' Q&A capabilities in improving patient-family satisfaction in the ICU.Frontiers in medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Premature frailty is a critical challenge for young breast cancer survivors (YBCSs), impacting their health and perpetuating gender inequality through heightened vulnerability and marginalization. While digital health shows promise in frailty screening, its effectiveness for comprehensively managing frailty remains inconclusive. This randomized controlled trial, registered at the Chinese Clinical Trial Registry (ChiCTR2200058823), tests the "AI-TA" program's efficacy on premature frailty and quality of life in YBCSs. The intervention group received a gender- and generation-sensitive program combining artificial intelligence interactions and humanities skills. The control group received 12 weeks of online information support. Both groups improved in frailty dimensions (P < 0.05); the intervention group showed notable enhancements in psychological (P = 0.013) and social frailty (P < 0.001). Quality of life also improved more in the intervention group from T1 to T2 (β = 15.384, 95% CI:13.028-17.740, P < 0.001). Results show a gender- and generation-sensitive digital humanistic program can optimize frailty management, promoting survivorship and gender equity.
Identifiers
What Socratic 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 Socratic graph.