Evidence map›Paper›PMID 42866516›Full record

ReviewAsia-Pacific journal of oncology nursing2026

Response pathways and clinical workflow integration of digital symptom management platforms for breast cancer: A scoping review.

Jing Yu, Shouze Jin, Yuening Liu, Rui Chen, Yuxin Liu, Hong Ji, Lijuan Wang

Abstract readReview
In one paragraph

Review in Asia-Pacific journal of oncology nursing, 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

7 authors.

Jing YuSchool of Nursing, Shandong Second Medical University, Weifang, Shandong Province, China.
Shouze JinSchool of Nursing, Shandong First Medical University, Taian, Shandong Province, China.
Yuening LiuSchool of Nursing, Shandong Second Medical University, Weifang, Shandong Province, China.
Rui ChenSchool of Nursing, Shandong First Medical University, Taian, Shandong Province, China.
Yuxin LiuSchool of Nursing, Shandong First Medical University, Taian, Shandong Province, China.
Hong JiNursing Department, First Affiliated Hospital of Shandong First Medical University (Shandong Provincial Qianfoshan Hospital), Jinan, Shandong Province, China.
Lijuan WangSchool of Nursing, Shandong Second Medical University, Weifang, Shandong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study systematically reviewed evidence on the operational pathways and workflow integration of digital symptom management platforms for breast cancer, covering the full process from monitoring to intervention. It summarized response pathway patterns to inform oncology nursing practice. Methods: Following the Arksey and O'Malley scoping review framework, we systematically searched seven databases from January 1, 2010 to August 7, 2026. The PCC (Population, Concept, Context) principle was adopted to formulate the inclusion and exclusion criteria. Indicators related to operation and implementation were extracted. Results: A total of 19 publications representing 18 independent studies and 18 unique digital platforms were included. Only a few studies reported implementation details such as data integration with hospital information systems, response time, referral escalation, staff training, and process safety. According to whether clinicians participated in symptom management workflows, we classified the included platforms into two mutually exclusive categories: the clinician-involved pathway ( Conclusions: Key implementation elements of current digital symptom management platforms for breast cancer, such as system integration and response timeliness, remain insufficiently reported. We established an exploratory classification framework comprising two mutually exclusive categories-the clinician-involved pathway and the patient-alone pathway-which may serve as a reference for oncology nursing practice. Future efforts should establish a standardized reporting framework and conduct cross-setting implementation studies to evaluate the applicability and sustainability of these implementation models. Review registration: The study protocol is registered in the Open Science Framework (OSF Registry ID: 10.17605/OSF.IO/QPHV3).

Indexed as

Breast cancerDigital healthDigital platformPatient-reported outcomesSymptom managementWorkflow

Identifiers

PMID42866516
PMCPMC13656596

What OpenQuestion holds

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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.