Evidence map›Paper›PMID 36402539›Full record

ArticleRadiologia

Spectrum of opportunistic fungal lung co-infections in COVID-19: What the radiologist needs to know.

A V Nair, S Ramanathan, P Sanghavi, V Manchikanti, S Satheesh, M Al-Heidous, A Jajodia, D Blair Macdonald

Open access · greenAbstract read
In one paragraph

Article in Radiologia. 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
0.5field-weighted citation impact, top 35% 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, 5 citations in OpenAlex.

  1. Review
  2. Sarocladium implicatum: an unusual agent of opportunistic infection in a COVID-19 patient.Revista do Instituto de Medicina Tropical de Sao Paulo · 2025
    Article
  3. Article
  4. 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

8 authors at 6 institutions in 4 countries.

A V NairDepartamento de Imagenología Clínica, Hospital Al-Wakra, Hamad Medical Corporation, Doha, Qatar; Departmento de Radiología Clinica, NHS Salisbury Foundation Trust, Salisbury, Wiltshire, United Kingdom. Electronic address: dranirudhnair@gmail.com.
S RamanathanDepartamento de Imagenología Clínica, Hospital Al-Wakra, Hamad Medical Corporation, Doha, Qatar; Departamento de Radiología, Weill Cornell Medicine, Doha, Qatar.
P SanghaviJankharia Imaging Centre, Mumbai, India.
V ManchikantiDepartamento de Radiología, Facultad de Medicina de Narayana, Nellore, India.
S SatheeshDepartamento de Patología, Regional Cancer Center, Trivandrum, India.
M Al-HeidousDepartamento de Imagenología Clínica, Hospital Al-Wakra, Hamad Medical Corporation, Doha, Qatar.
A JajodiaDepartamento de Radiología, Juravinski Cancer Center y St. Josephs Healthcare, Hamilton, Universidad McMaster, Ontario, Canada.
D Blair MacdonaldDepartamento de Radiología, Juravinski Cancer Center y St. Josephs Healthcare, Hamilton, Universidad McMaster, Ontario, Canada; Departamento de Radiología, Universidad de Ottawa, Ontario, Canada.
Hamad Medical Corporation · QAAdvanced Centre for Treatment, Research and Education in Cancer · INNarayana Dental College and Hospital · INRegional Cancer Center, Thiruvananthapuram · INSt. Joseph’s Healthcare Hamilton · CAUniversity of Ottawa · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fungal lung co-infections associated with COVID-19 may occur in severely ill patients or those with underlying co-morbidities, and immunosuppression. The most common invasive fungal infections are caused by aspergillosis, mucormycosis, pneumocystis, cryptococcus, and candida. Radiologists integrate the clinical disease features with the CT pattern-based approach and play a crucial role in identifying these co-infections in COVID-19 to assist clinicians to make a confident diagnosis, initiate treatment and prevent complications.

Indexed as

CoinfectionCOVID-19MycosesPneumoniaHumansLungRadiologistsAspergillosisAspergilosisCandidaCándidaCOVID-19CriptococoCryptococcusMucormicosisMucormycosisPneumocystisSARS-CoV-2

Identifiers

PMID36402539
PMCPMC9606035
OpenAlexW4307445622

What OpenQuestion holds

Textmetadata
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.