Evidence map›Paper›PMID 39588489›Full record

ArticleJournal of multidisciplinary healthcare2024

Research Hotspots and Frontiers of Patient Delay: A Bibliometric Analysis from 2000 to 2023.

Fengyan Song, Yuting Yang, Juan Xue

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Fengyan SongNursing Department, The Third Xiangya Hospital of Central South University, Hunan, People's Republic of China.
Yuting YangNursing Department, The Third Xiangya Hospital of Central South University, Hunan, People's Republic of China.
Juan XueNursing Department, The Third Xiangya Hospital of Central South University, Hunan, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to examine the global scientific output of research on patient delay and explore the hotspots and frontiers from 2000 to 2023 through bibliometric analysis. Methods: Publications regarding patient delay published from 2000 to 2023 were extracted from the Web of Science Core Collection (WOSCC). Subsequently, CiteSpace, VOSviewer, and Bibliometrix Online Analysis Platform were used to analyze publications, countries, institutions, authors, journals, and keywords. Results: A total of 721 papers were included in the study. The publication output increased from 20 papers in 2000 to 64 papers in 2023, a remarkable 220.00% growth. The USA (138 papers) and University of California San Francisco (21 papers) were identified as the most productive country and institution, respectively. Moser (10 papers), and Dracup (10 papers) are the most productive authors. "BMC Public Health" (24 publications) is the most productive journal. "Patient Delay" was the most cited keyword, with high-frequency keywords such as "Prehospital Delay", "Symptoms", "Time", "Care", "Diagnosis", "Acute Myocardial-infarction", and "Mortality" signaling hot topics in Patient Delay. Conclusion: There are increasingly many papers on patient delay. However, there has been limited development of cooperation between countries and institutions. In the future, collaboration between countries and institutions should be strengthened. In addition, 3 hotspots and 3 frontiers are summarized in this study to provide researchers with future research directions.

Indexed as

bibliometricsCiteSpacefrontiershotspotspatient delayVOSviewerweb of science

Identifiers

PMID39588489
PMCPMC11586488

What OpenQuestion holds

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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.