Evidence map›Paper›PMID 38029246›Full record

ArticleFrontiers in cellular and infection microbiology2023

Whole genome analysis of

Joy Sarojini Michael, Manigandan Venkatesan, Marilyn Mary Ninan, Dhanalakshmi Solaimalai, Lydia Jennifer Sumanth, Lalee Varghese, Regi Kurien, Rinku Polachirakkal Varghese, George Priya Doss C

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Phylogenetically diverse MucoralesMicrobial genomics · 2026
    Article
  2. 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

9 authors at 2 institutions in 1 country.

Joy Sarojini MichaelDepartment of Clinical Microbiology, Christian Medical College, Vellore, Vellore, Tamil Nadu, India.
Manigandan VenkatesanDepartment of Clinical Microbiology, Christian Medical College, Vellore, Vellore, Tamil Nadu, India.
Marilyn Mary NinanDepartment of Clinical Microbiology, Christian Medical College, Vellore, Vellore, Tamil Nadu, India.
Dhanalakshmi SolaimalaiDepartment of Clinical Microbiology, Christian Medical College, Vellore, Vellore, Tamil Nadu, India.
Lydia Jennifer SumanthDepartment of Clinical Microbiology, Christian Medical College, Vellore, Vellore, Tamil Nadu, India.
Lalee VargheseDepartment of Otorhinolaryngology, Christian Medical College, Vellore, Vellore, India.
Regi KurienDepartment of Otorhinolaryngology, Christian Medical College, Vellore, Vellore, India.
Rinku Polachirakkal VargheseDepartment of Integrative Biology, School of Biosciences and Technology, Vellore Institute of Technology (VIT) University, Vellore, Tamil Nadu, India.
George Priya Doss CDepartment of Integrative Biology, School of Biosciences and Technology, Vellore Institute of Technology (VIT) University, Vellore, Tamil Nadu, India.
Christian Medical College & Hospital · INVellore Institute of Technology University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Mucormycosis is an acute invasive fungal disease (IFD) seen mainly in immunocompromised hosts and in patients with uncontrolled diabetes. The incidence of mucormycosis increased exponentially in India during the SARS-CoV-2 (henceforth COVID-19) pandemic. Since there was a lack of data on molecular epidemiology of Mucorales causing IFD during and after the COVID-19 pandemic, whole genome analysis of the Rhizopus spp. isolated during this period was studied along with the detection of mutations that are associated with antifungal drug resistance. Materials and methods: A total of 50 isolates of Results: All 50 patients presented to the hospital with acute fungal rhinosinusitis. These patients had a mean HbA1c of 11.2%, and a serum ferritin of 546.8 ng/mL. Twenty-five patients had received steroids. By WGS analysis, 62% of the Conclusion: WGS analysis of Mucorales identified during and after the COVID-19 pandemic gives insight into the molecular epidemiology of these isolates in our community and establishes newer mechanisms for intrinsic azole resistance.

Indexed as

COVID-19MucoralesMucormycosisAntifungal AgentsBayes TheoremHumansPandemicsPhylogenyProspective StudiesRhizopusSARS-CoV-2Antifungal Agentsazole resistance detectionCOVID - 19molecular epidemiologyMucoraleswhole genome sequencing

Identifiers

PMID38029246
PMCPMC10644343
OpenAlexW4388047306

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.