Evidence map›Paper›PMID 41969456›Full record

ReviewTranslational cancer research2026

New model for remote symptom management and self-care of cancer patients based on digital health platforms: a narrative review.

Wen Chen, Yue Deng, Di Zhu, Huan Zhu

Abstract readReview
In one paragraph

Review in Translational cancer research, 2026. 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

4 authors.

Wen Chen *Department of Thoracic Oncology, Ward 2, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yue Deng *Department of Hepatobiliary and Pancreatic Surgery, Ward 1, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Di ZhuDepartment of Thoracic Tumor Radiotherapy, Ward 1, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Huan ZhuDepartment of Hepatobiliary and Pancreatic Surgery, Ward 1, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: With the increasing global cancer burden and prolonged survival of patients, effective post-treatment symptom management and self-care have become essential components of chronic cancer care. Traditional follow-up-based medical models often fail to capture dynamic symptom fluctuations, leading to suboptimal adherence and increased healthcare utilization. The emergence of digital health platforms provides new opportunities for remote symptom monitoring (RSM) and patient-centered care. This narrative review aimed to synthesize recent global evidence on the use of digital health platforms for remote symptom management and self-care among cancer patients, focusing on their technological frameworks, clinical benefits, and implementation challenges. Methods: A structured literature search was conducted across PubMed, Web of Science, Embase, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and Institute of Electrical and Electronics Engineers (IEEE) Xplore for studies published in English between January 2018 and December 2024. The search combined controlled vocabulary and free-text terms related to digital health platforms, cancer, symptom management, and self-care. Reference lists of included studies were also manually screened. Eligible studies included those involving cancer patients and evaluating digital health interventions for RSM or self-management. Key Content and Findings: The reviewed studies covered diverse digital health platforms integrating wearable sensors, mobile applications, and cloud-based analytics for real-time symptom tracking and personalized interventions. Core functional modules commonly identified included symptom monitoring, patient education, and psychosocial support. Evidence suggested that these platforms enhance patient empowerment, improve communication between patients and clinicians, and support proactive care through early detection of symptom exacerbations. However, significant barriers remain, including issues of data privacy and security, regulatory heterogeneity, and the digital devices that may limit equitable access. Conclusions: Digital health platforms are transforming oncology care from a physician-centered model to a collaborative, technology-enabled framework that supports continuous, patient-driven symptom management. While existing evidence demonstrates their feasibility and clinical benefits, future research should emphasize standardization, long-term clinical validation, and culturally adaptable implementation models. Addressing these priorities may enhance both patient quality of life and the efficiency of healthcare resource utilization in cancer survivorship care.

Indexed as

Digital health platformoncologyremote symptom managementself-caretelemedicine

Identifiers

PMID41969456
PMCPMC13067187

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.