Evidence map›Paper›PMID 42743131›Full record

ArticlePloS one2026

Prediction models for compassion fatigue in nurses: A protocol for systematic review and critical appraisal.

Zifeng Li, Xiaojing Zhou, Luhuan Yang, Zuyang Xi, Huiqin Liu, Yuanzhi Fu, Xiaojuan Zhang

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Article in PloS one, 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

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

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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

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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

7 authors.

Zifeng LiDepartment of Traditional Chinese Medicine, The First College of Clinical Medical Science, Three Gorges University/Yichang Central People's Hospital, Yichang City, Hubei Province, China.
Xiaojing ZhouDepartment of Pediatrics, The First College of Clinical Medical Science, Three Gorges University/Yichang Central People's Hospital, Yichang City, Hubei Province, China.ORCID https://orcid.org/0000-0001-7577-1705
Luhuan YangFaculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.ORCID https://orcid.org/0000-0002-8868-9193
Zuyang XiDepartment of Nursing, the First College of Clinical Medical Science, Three Gorges University/Yichang Central People's Hospital, Yichang City, Hubei Province, China.
Huiqin LiuDepartment of Nursing, the First College of Clinical Medical Science, Three Gorges University/Yichang Central People's Hospital, Yichang City, Hubei Province, China.
Yuanzhi FuDepartment of Traditional Chinese Medicine, The First College of Clinical Medical Science, Three Gorges University/Yichang Central People's Hospital, Yichang City, Hubei Province, China.
Xiaojuan ZhangDepartment of Nursing, Gansu Health Vocational College, Lanzhou City, Gansu Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNurses are routinely exposed to high emotional demands associated with illness, disability, and death. Prolonged exposure may deplete nurses' capacity for compassion, contributing to compassion fatigue. Compassion fatigue not only erodes emotional resources but may also adversely affect professional functioning and mental health. To date, several studies have developed prediction models for nurses' compassion fatigue, but the methodological quality of these studies remains uncertain.

aimsThis systematic review will comprehensively summarize published prediction models for nurses' compassion fatigue and describe their key characteristics, predictors, performance, and risk of bias.

methodsUsing a prespecified search strategy, we will systematically search seven databases: PubMed, Web of Science, Cochrane Library, Embase, CINAHL, PsycINFO, and CNKI. Two reviewers will independently conduct study selection, data extraction, and quality assessment according to prespecified inclusion and exclusion criteria. The data extraction form will be developed in accordance with the CHARMS checklist, and the risk of bias of the included models will be assessed using the PROBAST tool. Results will be presented in tables to facilitate qualitative comparisons across models. The systematic review will be reported in accordance with the PRISMA 2020 statement. The protocol has been registered in INPLASY (registration number: INPLASY202530051).

conclusionThis review will identify and compare existing models for predicting compassion fatigue in nurses and will inform future model development, validation, and application.

Indexed as

Compassion FatigueNursesHumansResearch DesignSystematic Reviews as Topic

Identifiers

PMID42743131
PMCPMC13577402

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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.