Evidence map›Paper›PMID 40379323›Full record

ArticleBMJ open2025

Strengths-based interventions for patients with chronic diseases and/or caregivers: a systematic review protocol.

Xirongguli Halili, Li Wang, Shuyi Wang, Ke Liu, Qirong Chen, Minhui Liu

Abstract read
In one paragraph

Article in BMJ open, 2025. 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.

Xirongguli HaliliXiangya School of Nursing, Central South University, Changsha, China.ORCID http://orcid.org/0000-0001-5028-6340
Li WangXiangya School of Nursing, Central South University, Changsha, China.
Shuyi WangXiangya School of Nursing, Central South University, Changsha, China.
Ke LiuXiangya School of Nursing, Central South University, Changsha, China.
Qirong ChenXiangya School of Nursing, Central South University, Changsha, China qirong.chen@csu.edu.cn mliu62@jhu.edu.ORCID http://orcid.org/0000-0003-1908-290X
Minhui LiuSchool of Nursing, Ningxia Medical University, Yinchuan, China qirong.chen@csu.edu.cn mliu62@jhu.edu.ORCID http://orcid.org/0000-0002-4554-3135

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStrengths-based interventions have great potential among individuals living with chronic illnesses, helping to improve patient outcomes and address the rapidly increasing burden of chronic diseases. The main objective of this systematic review is to synthesise the evidence on strengths-based interventions for patients with chronic diseases and/or caregivers. METHODS AND ANALYSIS: Seven databases, including PubMed, Cochrane Library, Web of Science, CINAHL, EMBASE, PsycINFO and SCOPUS, will be searched. The literature screening and data extraction will be conducted independently by two researchers. A third researcher will be involved when a consensus is needed. The quality and risk of bias in the included studies will be assessed by using the Cochrane risk-of-bias tool. The systematic review protocol will be reported according to the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocol checklists. ETHICS AND DISSEMINATION: Ethics approval is not required. The findings of the systematic review will be disseminated in a conference and a peer-reviewed journal. PROSPERO REGISTRATION NUMBER: CRD42024570495.

Indexed as

CaregiversChronic DiseaseHumansResearch DesignSystematic Reviews as TopicCaregiversMeta-AnalysisPublic healthStrokeSystematic Review

Identifiers

PMID40379323
PMCPMC12083374

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.