Evidence map›Paper›PMID 42645347›Full record

ArticleCurrent oncology (Toronto, Ont.)2026

Using Q-Methodology to Identify Core Illness Experience Dimensions in Treated Lymphoma Patients.

Shanshan Yu, Rongxue Ma, Yanjin Liu, Yuting Chen, Xinyu Lu, Yuxi Zhang

Abstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 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

6 authors.

Shanshan YuSchool of Nursing, Nanjing University of Chinese Medicine (NJUCM), Nanjing 210023, China.ORCID 0009-0003-8291-5756
Rongxue MaSchool of Nursing, Nanjing University of Chinese Medicine (NJUCM), Nanjing 210023, China.
Yanjin LiuSchool of Nursing, Nanjing University of Chinese Medicine (NJUCM), Nanjing 210023, China.
Yuting ChenSchool of Nursing, Nanjing University of Chinese Medicine (NJUCM), Nanjing 210023, China.
Xinyu LuSchool of Nursing, Nanjing University of Chinese Medicine (NJUCM), Nanjing 210023, China.
Yuxi ZhangGeriatric Respiratory Ward, the First Affiliated Hospital of Nanjing Medical University (Jiangsu Province Hospital), Nanjing 210029, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lymphoma currently ranks first in incidence among haematological malignancies, yet few have revealed the core dimensions of the illness experience which patient-reported during treatment. This study aimed to identify those core dimensions using Q-methodology, which combines qualitative and quantitative approaches. A concourse of 59 statements was developed through literature review and dual-perspective interviews with clinicians and patients, then refined to a 39-item Q-set. Seventeen hospitalized lymphoma patients performed Q-sorting, and data were analyzed by principal component analysis with varimax rotation. Four distinct factors emerged: need for a healing environment amid severe adverse reactions; active adaptation and positive coping with treatment; chronic symptom distress and fear of recurrence; and resilient persistence under heavy financial pressure. These findings reveal complex and diverse subjective experiences of lymphoma patients. Differentiated management approaches should be applied to patients with distinct experience patterns, such as improving the physical hospital environment, fostering active coping and post-traumatic growth, alleviating recurrence anxiety, and mitigating financial toxicity.

Indexed as

LymphomaAdaptation, PsychologicalAdultAgedFemaleHumansMaleMiddle Agedexperienceexperience-based co-designlymphomapatient-reported outcome measuresQ-methodology

Identifiers

PMID42645347
PMCPMC13510517

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.