Evidence map›Paper›PMID 41937995›Full record

ArticleInternational journal of nursing sciences2026

Prognostic communication preferences of cancer patients: A hybrid concept analysis.

Bingqian Ou, Yuanfeng Lu, Chenshan Huang, Yabin Wang, Wanzhen Hong, Huimin Xiao

Abstract read
In one paragraph

Article in International journal of nursing sciences, 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.

Bingqian OuSchool of Nursing, Fujian Medical University, Fuzhou, China.
Yuanfeng LuSchool of Nursing, Fujian Medical University, Fuzhou, China.
Chenshan HuangSchool of Nursing, Fujian Medical University, Fuzhou, China.
Yabin WangSchool of Nursing, Fujian Medical University, Fuzhou, China.
Wanzhen HongSchool of Nursing, Fujian Medical University, Fuzhou, China.
Huimin XiaoSchool of Nursing, Fujian Medical University, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to analyze a comprehensive concept of prognostic communication preferences among cancer patients, focusing on their attributes, antecedents, and consequences. Methods: A hybrid concept analysis was employed. In the theoretical phase, a literature review across 10 databases (e.g., PubMed, Embase, the Cochrane Library) was conducted. The fieldwork phase included semi-structured interviews with six cancer patients recruited from oncology departments of a general hospital in southern China between May and July 2024. In the final analytic phase, findings from the above two phases were synthesized to develop a comprehensive understanding of the concept. Results: Twenty-four studies were included. The study identified key attributes of prognostic communication preferences, including communication modality, information characteristics, and external support. Antecedents included personal characteristics, the medical context, and professional factors. The consequences of aligned communication included enhanced patient satisfaction, psychological well-being, and decision-making quality. Conclusions: This research provides a comprehensive definition of prognostic communication preferences of cancer patients. The findings offer insights to guide clinicians and nurses in tailoring prognostic communication to better meet patients' unique preferences across multiple levels, supporting patient-centered care and shared decision-making.

Indexed as

Concept analysisNeoplasmsNursingPreferencePrognostic communication

Identifiers

PMID41937995
PMCPMC13044373

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.