Evidence map›Paper›PMID 38293516›Full record

ArticleHeliyon2024

COVID-19-associated pulmonary aspergillosis in intensive care unit: A real-life experience.

Alessandro Russo, Riccardo Serraino, Francesca Serapide, Andrea Bruni, Eugenio Garofalo, Federico Longhini, Enrico Maria Trecarichi, Carlo Torti

Open access · goldAbstract readCase Reports
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. ISCCM Position Statement on the Management of Invasive Fungal Infections in the Intensive Care Unit.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024
    Article
  5. 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 1 institution in 1 country.

Alessandro RussoInfectious and Tropical Disease Unit, Department of Medical and Surgical Sciences, 'Magna Graecia' University of Catanzaro, Italy.
Riccardo SerrainoInfectious and Tropical Disease Unit, Department of Medical and Surgical Sciences, 'Magna Graecia' University of Catanzaro, Italy.
Francesca SerapideInfectious and Tropical Disease Unit, Department of Medical and Surgical Sciences, 'Magna Graecia' University of Catanzaro, Italy.
Andrea BruniAnesthesia and Intensive Care Unit, Department of Medical and Surgical Sciences, 'Magna Graecia' University of Catanzaro, Italy.
Eugenio GarofaloAnesthesia and Intensive Care Unit, Department of Medical and Surgical Sciences, 'Magna Graecia' University of Catanzaro, Italy.
Federico LonghiniAnesthesia and Intensive Care Unit, Department of Medical and Surgical Sciences, 'Magna Graecia' University of Catanzaro, Italy.
Enrico Maria TrecarichiInfectious and Tropical Disease Unit, Department of Medical and Surgical Sciences, 'Magna Graecia' University of Catanzaro, Italy.
Carlo TortiInfectious and Tropical Disease Unit, Department of Medical and Surgical Sciences, 'Magna Graecia' University of Catanzaro, Italy.
Magna Graecia University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since 2020, cases of COVID-19-associated pulmonary aspergillosis (CAPA) have been frequently described, representing an important cause of mortality, especially among patients admitted to intensive care unit (ICU). A predisposition to invasive infection caused by

Indexed as

AspergillusCAPACOVID-19GalactomannanIsavuconazole

Identifiers

PMID38293516
PMCPMC10825494
OpenAlexW4390788099

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.