Evidence map›Paper›PMID 36532931›Full record

ArticleCureus2022

The Spectrum of Pathogenic Yeast Infection in a Tertiary Care Hospital in Assam, India.

Debarati Saha, Ajanta Sharma, Nilakshi Borah, Dibyajyoti Saikia

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. 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, top 84% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  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

4 authors at 2 institutions in 1 country.

Debarati SahaMicrobiology, All India Institute of Medical Sciences, Guwahati, IND.
Ajanta SharmaMicrobiology, Gauhati Medical College and Hospital, Guwahati, IND.
Nilakshi BorahMicrobiology, State Cancer Institute, Government Medical College and Hospital, Guwahati, IND.
Dibyajyoti SaikiaPharmacology, All India Institute of Medical Sciences, Guwahati, IND.
All India Institute of Medical Sciences GuwahatiGauhati Medical College and Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextIn view of the growing incidence of pathogenic yeast infection all over the world, this study was undertaken to understand its etiology and epidemiology in Assam.

aimsTo characterize and study the antifungal susceptibility pattern of the pathogenic yeasts from the clinical samples. SETTINGS AND

designThe study was a hospital-based cross-sectional study. METHODS AND MATERIAL: 150 patients were enrolled in the study and from which clinical samples were collected. A total of 83 samples showing the growth of yeast in culture were included in the study. The yeasts were identified by conventional and BioMerieux ID 32C and VITEK 2 STATISTICAL ANALYSIS USED: Data was analyzed using statistical software Epi-Info 7.1.2.0 (2013; CDC, Atlanta, USA). For comparison of categorical data, the Chi-square test or Fisher exact test was used. A value of

resultsThe most affected population was the age group of ≤10 years (32.5%) with male preponderance (67.5%). Yeasts were mostly isolated bloodstream infections (49.3%). The major risk factor was prolonged antibiotic intake. Predominant yeast isolates were

conclusionsThe study reflects that there is a growing incidence of emerging yeast infections and efforts are to be made for their identification and antifungal susceptibility testing for the initiation of appropriate therapy.

Indexed as

antifungal susceptibilitybloodstream infectioncandidacryptococcusemerging yeast

Identifiers

PMID36532931
PMCPMC9751386
OpenAlexW4309204408

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.