Evidence map›Paper›PMID 38375519›Full record

ArticleCurrent medical mycology2023

Molecular epidemiology of clinically relevant single and mixed species in a Malaysian tertiary care hospital.

Humaira Farooq, Gokul Shankar Sabesan, Tahmina Monowar, Suresh V Chinni, Noor Hasliza Zainol, SweSwe Latt, Rajesh Pk

Abstract read
In one paragraph

Article in Current medical mycology, 2023. 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. Review
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.

Humaira FarooqShaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, Pakistan.
Gokul Shankar SabesanFaculty of Medicine, Manipal University College Malaysia, Melaka, Malaysia.
Tahmina MonowarDepartment of Microbiology, Army Medical College, Jashore, Bangladesh.
Suresh V ChinniDepartment of Biochemistry, Faculty of Medicine, Bioscience, and Nursing, MAHASA University, Selangor, Malaysia.
Noor Hasliza ZainolPathology Department, Hospital Sultan Abdul Halim, Ministry of Health Malaysia, Kedah, Malaysia.
SweSwe LattDepartment of Public Health Medicine, RCSI & UCD Malaysia Campus, Penang, Malaysia.
Rajesh PkFaculty of Medicine, American University of Antigua.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Purpose: The increasing rate of opportunistic infections caused by Materials and Methods: Yeast isolates were collected from Sultan Abdul Halim Hospital, Kedah, Malaysia, from October 2020 to October 2021. Molecular identification of the isolates was performed by one enzyme-based polymerase chain reaction-restriction fragment length polymorphism method. Results: Conclusion: The Molecular technique used in this study identified 96% of isolates, including mixed species. According to the findings, the most prevalent species are

Indexed as

CandidaMixed yeast infectionsMspIPCR-RFLP

Identifiers

PMID38375519
PMCPMC10874483

What OpenQuestion holds

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LicenceCC BY
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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.