Evidence map›Paper›PMID 40224910›Full record

ArticleJournal of multidisciplinary healthcare2025

Advanced Practice Nursing: A Bibliometric and Visualization Analysis (1992-2023).

Yan Wen, Yue Hu, Wanting Cai, Qian Cao

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 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

4 authors.

Yan WenDepartment of Operating Room, The Second People's Hospital of Yibin, Yibin, 644000, People's Republic of China.
Yue HuNeurological Intensive Care Unit, Deyang People's Hospital, Deyang, 618000, People's Republic of China.
Wanting CaiSchool of Nursing, North Sichuan Medical College, Nanchong, 637000, People's Republic of China.
Qian CaoDepartment of Operating Room, The Second People's Hospital of Yibin, Yibin, 644000, People's Republic of China.ORCID 0009-0007-4579-3920

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Advanced Practice Nurses (APNs) have become essential to healthcare systems, but the development of research related to APNs has been uneven. Understanding publication trends in this area can provide valuable insights into gaps in the literature and practice. Objective: This study aimed to analyze the publication patterns of APNs in the field of nursing through bibliometric methods. Methods: This study is a descriptive bibliometric study. Data were collected from the Web of Science database in January 2024 and analyzed using VOSviewer software. Results: The search strategy identified 595 publications authored by 1843 researchers across 44 countries and published in 88 different journals spanning 1992 to 2023. Analysis reveals several key trends in APN research: (a) a significant growth in publications, particularly in the past three years; (b) predominant contributions from scholars in a select number of countries; (c) limited collaboration among countries, institutions, and authors; and (d) a focus on key themes such as APN education frameworks and clinical competencies. Conclusion: The existing body of literature on APN within the nursing field remains limited. Future research should aim to focus on fostering greater international collaboration among researchers and encouraging the adoption of the APN role in developing countries. These efforts could significantly enhance healthcare services and improve patient health outcomes globally.

Indexed as

advanced practice nursebibliometric analysisnursing fieldvisualization analysisweb of science

Identifiers

PMID40224910
PMCPMC11991922

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.