ReviewAsia-Pacific journal of oncology nursing2026
Symptom management in cancer care: An evolutionary concept analysis for a digitally enabled collaborative framework.
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. An erratum has been issued. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: An evolutionary concept analysis was conducted to clarify the core attributes, antecedents, consequences, and distinctions of "symptom management". Based on this analysis, an updated conceptual framework was developed to integrate digital health and collaborative care. Methods: This study employed Rodgers' evolutionary concept analysis method. Through a systematic search of the literature related to cancer symptom management in databases including Web of Science, PubMed, Embase, the Cochrane Library, CINAHL and Chinese databases, a total of 23 studies that met the inclusion criteria were included in the conceptual analysis. Results: Research has identified six core attributes of symptom management, namely dynamism, continuity, multidimensionality, multi-stakeholder collaboration, diversity of intervention methods, and individual variability. Key antecedents (including patient self-management capacity, health literacy, professional assessment, and systemic support) and primary outcomes (such as improved quality of life, reduced symptom burden, as well as potential risks of overtreatment and inequity) have been clearly delineated. In addition, symptom management has been conceptually distinguished from related concepts such as "symptom control", "palliative care", and "self-management". Furthermore, a novel paradigm for symptom management has been proposed, characterized by digital empowerment and multi-stakeholder collaboration. Conclusions: Cancer symptom management is a multidimensional, dynamic, complex process requiring multi-professional collaboration. This conceptual analysis provides a clear definition and theoretical framework for the field, informing future research, intervention development, and clinical practice. In particular, a conceptual foundation is established for advancing the integration of digital health technologies and collaborative care models. Future research should focus on cross-contextual validation, standardization of measurement instruments, and the balanced integration of technological solutions with patient-centered care.
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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.