Evidence map›Paper›PMID 39872871›Full record

ReviewJournal of multidisciplinary healthcare2025

Community Integration of Disability: A Bibliometric and Knowledge-Map Analysis.

Shuaiyou Wang, Dingding Li, Chenjun Liu, Xueting Sun, Yage Shi, Hongru Wang, Huimin Zhang

Abstract readReview
In one paragraph

Review in Journal of multidisciplinary healthcare, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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.

Shuaiyou WangSchool of Nursing, Xinxiang Medical University, Xinxiang, Henan, People's Republic of China.ORCID 0009-0002-8003-2135
Dingding LiSchool of Nursing, Xinxiang Medical University, Xinxiang, Henan, People's Republic of China.ORCID 0009-0000-2328-5721
Chenjun LiuSchool of Nursing, Xinxiang Medical University, Xinxiang, Henan, People's Republic of China.
Xueting SunSchool of Nursing, Xinxiang Medical University, Xinxiang, Henan, People's Republic of China.ORCID 0009-0007-0944-8660
Yage ShiSchool of Nursing, Xinxiang Medical University, Xinxiang, Henan, People's Republic of China.ORCID 0009-0007-2080-6166
Hongru WangNursing of Department, Xinxiang First People's Hospital, Xinxiang, Henan, People's Republic of China.
Huimin ZhangSchool of Nursing, Ningxia Medical University, Yinchuan, People's Republic of China.ORCID 0000-0003-4775-0397

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Community integration (CI) is the ultimate goal of rehabilitation for individuals with disabilities. It plays a significant role in restoring their social functioning and facilitating their reintegration into community and family life. However, no studies have utilized bibliometric methods to explore community integration. Objective: To conduct a review about community integration of disabilities and to clarify the knowledge, hotspots, and trends through the bibliometric method. Methods: Studies on community integration from 1990 to 2023 were retrieved from the Web of Science Core Collection (WOSCC). CiteSpace 6.2.R4 and Microsoft Office Excel 2019 were applied. The CiteSpace node types involved in this study include keyword, reference, cited author, cited Journal, and the dual-map overlay of journals. CiteSpace presented the keyword cluster map, keywords timeline view map, keywords bursts map, and overlay map of journals. Microsoft Office Excel 2019 was used to present the trend of annual publications and draw up related tables and figures. Results: A total of 2239 hits were included. The number of publications related to community integration is increasing gradually. The three most frequent keywords is Brain Injury (571, 13%), Individuals (488, 11%), Quality of Life (434, 10%). Keyword cluster map and timeline map with eight clusters were obtained, and the current strongest citation burst keywords are social participation, substance use, experiences, interventions, and Afghanistan. Willer is the author with the most citations. McColl has the largest centrality in the first ten cited authors. The most cited reference is published by the World Health Organization (WHO). Conclusion: Community integration for individuals with disabilities is gradually becoming a hot topic. Research on community integration related to traumatic brain injury (TBI), stroke, children, and spinal cord injuries is current focus of community integration. Future research should explore the experiences and feelings of different groups of disabilities regarding community integration and develop more effective interventions for their community integration. Community integration is complex, and future research on community integration for individuals with disabilities needs to be explored more specifically.

Indexed as

bibliometricCiteSpacecommunity integrationcommunity reintegrationdisabilityquality of liferehabilitation

Identifiers

PMID39872871
PMCPMC11769851

What OpenQuestion holds

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LicenceCC BY-NC
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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.