Evidence map›Paper›PMID 42766187›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2026

From diagnosis to daily realities: longitudinal phenomenological exploration of symptom trajectories in glioma survivorship.

Xiao-Jing Meng, Zi-Chen Zhang, Li Xiang, Gao Min, Li-Ming Li

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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xiao-Jing MengHenan Provincial People's Hospital, Henan Province, No. 7 Weilu Road, Zhengzhou City, 450003, China.
Zi-Chen ZhangHenan Provincial People's Hospital, Henan Province, No. 7 Weilu Road, Zhengzhou City, 450003, China.
Li XiangHenan Provincial People's Hospital, Henan Province, No. 7 Weilu Road, Zhengzhou City, 450003, China.
Gao MinHenan Provincial People's Hospital, Henan Province, No. 7 Weilu Road, Zhengzhou City, 450003, China.
Li-Ming LiHenan Provincial People's Hospital, Henan Province, No. 7 Weilu Road, Zhengzhou City, 450003, China. syliliming868199@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the continuous improvement of global cancer survival rates, the long-term quality of life among cancer survivors has attracted increasing attention. Glioma is a common primary malignant tumor of the central nervous system. Both the disease itself and anti-tumor therapies induce a variety of dynamically fluctuating symptoms throughout the disease course, which impose persistent physical and psychological impairments and substantially compromise patients' quality of life. Current qualitative studies have only preliminarily explored symptom-related issues in patients with glioma, lacking longitudinal analyses regarding the dynamic evolution of patients' symptom perceptions, coping strategies, and care demands. Accordingly, this study adopts a longitudinal phenomenological approach to address the gaps in existing evidence.

aimsThis longitudinal qualitative study aims to conduct a phenomenological exploration of the symptom trajectories in glioma survivorship, specifically focusing on the evolving processes of symptom recognition, the diversity of long-term coping strategies, the clinical challenges in symptom modulation, and the resultant needs for a structured intervention framework.

methodsBased on the phenomenological approach, semi-structured interviews were implemented among 12 glioma survivors at three time points (T1, initial diagnosis; T2, 1 month after surgery; T3, 3 months after surgery). Colaizzi's method was used to analyze interview transcripts and extract the essential themes of patients' long-term survivorship experience.

resultsThe following four themes and associated categories were identified: (1) self-perception and interpretation of the disease, (2) differentiated coping with symptoms, (3) practical dilemmas in symptom management, (4) core needs in symptom management.

conclusionThe symptom journey for glioma survivors is not static but a complex trajectory marked by significant and evolving burdens. Our findings, extending from our earlier research, underscore the critical need for healthcare systems to move beyond episodic care. Future efforts must focus on developing longitudinal, patient-centered intervention frameworks that address the unmet needs across the survivorship continuum, thereby effectively reducing symptom burden and enhancing quality of life.

Indexed as

Brain NeoplasmsCancer SurvivorsGliomaQuality of LifeAdaptation, PsychologicalAdultAgedCoping SkillsFemaleHumansLongitudinal StudiesMaleMiddle AgedQualitative ResearchSurvivorshipSymptom BurdenGliomaLivingNeedsSymptom management

Identifiers

PMID42766187
PMCPMC13593661

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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.