Evidence map›Paper›PMID 34203191›Full record

ArticleInternational journal of environmental research and public health2021

Trends in Nursing Research on Infections: Semantic Network Analysis and Topic Modeling.

Jongsoon Won, Kyunghee Kim, Kyeong-Yae Sohng, Sung-Ok Chang, Seung-Kyo Chaung, Min-Jung Choi, Youngji Kim

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
8.4field-weighted citation impact, top 2% of its field
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

7 citing papers in PubMed, 10 citations in OpenAlex.

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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 at 6 institutions in 1 country.

Jongsoon WonCollege of Nursing, Eulji University, Seongnam-si 13135, Korea.
Kyunghee KimRed Cross College of Nursing, Chung-Ang University, Seoul 06974, Korea.
Kyeong-Yae SohngCollege of Nursing, The Catholic University of Korea, Seoul 06591, Korea.
Sung-Ok ChangCollege of Nursing, Korea University, Seoul 02841, Korea.ORCID 0000-0003-2710-4291
Seung-Kyo ChaungDepartment of Nursing, Semyung University, Jecheon-si 27136, Korea.ORCID 0000-0002-5672-2315
Min-Jung ChoiCollege of Nursing, The Catholic University of Korea, Seoul 06591, Korea.ORCID 0000-0003-2811-0706
Youngji KimCollege of Nursing and Health, Kongju National University, Gongju-si 32588, Korea.
Catholic University of Korea · KRChung-Ang University · KREulji University · KRKongju National University · KRKorea University · KRSemyung University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany countries around the world are currently threatened by the COVID-19 pandemic, and nurses are facing increasing responsibilities and work demands related to infection control. To establish a developmental strategy for infection control, it is important to analyze, understand, or visualize the accumulated data gathered from research in the field of nursing.

methodsA total of 4854 articles published between 1978 and 2017 were retrieved from the Web of Science. Abstracts from these articles were extracted, and network analysis was conducted using the semantic network module.

results'wound', 'injury', 'breast', "dressing", 'temperature', 'drainage', 'diabetes', 'abscess', and 'cleaning' were identified as the keywords with high values of degree centrality, betweenness centrality, and closeness centrality; hence, they were determined to be influential in the network. The major topics were 'PLWH' (people living with HIV), 'pregnancy', and 'STI' (sexually transmitted infection).

conclusionsDiverse infection research has been conducted on the topics of blood-borne infections, sexually transmitted infections, respiratory infections, urinary tract infections, and bacterial infections. STIs (including HIV), pregnancy, and bacterial infections have been the focus of particularly intense research by nursing researchers. More research on viral infections, urinary tract infections, immune topic, and hospital-acquired infections will be needed.

Indexed as

COVID-19HIV InfectionsNursing ResearchSexually Transmitted DiseasesFemaleHumansPandemicsPregnancySARS-CoV-2Semantic Webinfectionnursesnursingsemanticstext mining

Identifiers

PMID34203191
PMCPMC8297160
OpenAlexW3176915288

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.