Evidence map›Paper›PMID 42311900›Full record

ReviewFrontiers in medicine2026

Mobile health for chronic obstructive pulmonary disease: a bibliometric analysis based on integrated databases (2000-2025).

Yubei Liu, Xuetao Yang, Xuejun Liu, Rong Wang

Abstract readReview
In one paragraph

Review in Frontiers in medicine, 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

4 authors.

Yubei Liu *Dazhou Vocational College of Traditional Chinese Medicine, Dazhou, China.
Xuetao Yang *Dazhou Vocational College of Traditional Chinese Medicine, Dazhou, China.
Xuejun LiuChengdu Xindu District Second People's Hospital, Chengdu, China.
Rong WangDazhou Vocational College of Traditional Chinese Medicine, Dazhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic obstructive pulmonary disease (COPD) is a major global health burden. Mobile health (mHealth) has created new possibilities for the monitoring, rehabilitation, and management of COPD, yet a dedicated bibliometric analysis of this field is still lacking. This study aimed to characterize the research landscape, assess the current status, and explore future developmental trends. Purpose: To map the research status and developmental trends of mHealth for COPD through bibliometric analysis and provide evidence-based guidance for future research. Methods: Publications indexed in the Science Citation Index Expanded of the Web of Science Core Collection and clinical trials indexed in PubMed were retrieved and screened for the period 2000-2025. CiteSpace and VOSviewer were used to analyze publication trends, leading journals, countries, institutions, authors, keywords, and cited references. The screening and reporting process followed the BIBLIO checklist. Results: After screening, 1,177 publications from the Web of Science Core Collection and 119 clinical trials from PubMed were included. Research output and annual total citations showed sustained growth over time. The Conclusion: This study provides a comprehensive bibliometric overview of mHealth research in COPD. The findings highlight sustained growth, evolving research priorities, and rising academic impact in this field, while also revealing marked geographical disparities in research output. More robust, evidence-based, and context-adapted digital health strategies are needed to support the broader and more equitable development of this field.

Indexed as

bibliometricschronic disease managementclinical trialCOPDmHealthvisualized analysis

Identifiers

PMID42311900
PMCPMC13269026

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.