Evidence map›Paper›PMID 34368736›Full record

ArticleInfection prevention in practice2021

High prevalence nasal carriage of methicillin-resistant

Hsin-I Shih, Chia-Ming Chang, Fan-Ching Shen, Yun-Ju Lee, Chiu Hui Wu, Hsiang-Chin Hsu, Chia-Yu Chi

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Infection prevention in practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

4 citing papers in PubMed, 8 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 4 institutions in 1 country.

Hsin-I ShihDepartment of Emergency Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Chia-Ming ChangDivision of Geriatrics, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Fan-Ching ShenNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Tainan, Taiwan.
Yun-Ju LeeNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Tainan, Taiwan.
Chiu Hui WuDepartment of Nursing, National Cheng Kung University Hospital, Taiwan.
Hsiang-Chin HsuDepartment of Emergency Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Chia-Yu ChiNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Tainan, Taiwan.
National Cheng Kung University Hospital · TWNational Health Research Institutes · TWKaohsiung Medical University · TWNational Cheng Kung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMethicillin-resistant

methodsOut-of-hospital care emergency medical technicians and students, and HCWs in the emergency department, intensive care unit and a long-term care facility (LTCF) were enrolled to compare the prevalence of MRSA and methicillin-susceptible

findings

conclusionsHospital nurses have highest

Indexed as

CA-MRSA, community-associated Methicillin-resistant Staphylococcus aureusED, emergency departmentEmergency medical technicianEMTs, emergency medical techniciansHA-MRSA, healthcare-associated Methicillin-resistant Staphylococcus aureusHCWs, Healthcare workersHealthcare workerICU, intensive care unitLong term care facilitiesLTCF, long-term care facilitiesMRSAMRSA, Methicillin-resistant Staphylococcus aureus

Identifiers

PMID34368736
PMCPMC8336196
OpenAlexW3125997855

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.