Evidence map›Paper›PMID 32993060›Full record

ArticleAntibiotics (Basel, Switzerland)2020

Preliminary Attempt to Predict Risk of Invasive Pulmonary Aspergillosis in Patients with Influenza: Decision Trees May Help?

Valeria Bellelli, Guido Siccardi, Livia Conte, Luigi Celani, Elena Congeduti, Cristian Borrazzo, Letizia Santinelli, Giuseppe Pietro Innocenti, Claudia Pinacchio, Giancarlo Ceccarelli and 2 more

Open access · goldAbstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
0.0field-weighted citation impact, top 59% 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, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  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

12 authors at 1 institution in 1 country.

Valeria BellelliDepartment of Public Health and Infectious Diseases, University of Rome Sapienza, 00182 Rome, Italy.
Guido SiccardiDepartment of Public Health and Infectious Diseases, University of Rome Sapienza, 00182 Rome, Italy.
Livia ConteDepartment of Public Health and Infectious Diseases, University of Rome Sapienza, 00182 Rome, Italy.
Luigi CelaniDepartment of Public Health and Infectious Diseases, University of Rome Sapienza, 00182 Rome, Italy.
Elena CongedutiElectrical Engineering Mathematics and Computer Science, Delft University of Technology, 2628 XE Delft, The Netherlands.
Cristian BorrazzoDepartment of Public Health and Infectious Diseases, University of Rome Sapienza, 00182 Rome, Italy.ORCID 0000-0002-2346-898X
Letizia SantinelliDepartment of Public Health and Infectious Diseases, University of Rome Sapienza, 00182 Rome, Italy.ORCID 0000-0002-5621-058X
Giuseppe Pietro InnocentiDepartment of Public Health and Infectious Diseases, University of Rome Sapienza, 00182 Rome, Italy.
Claudia PinacchioDepartment of Public Health and Infectious Diseases, University of Rome Sapienza, 00182 Rome, Italy.
Giancarlo CeccarelliDepartment of Public Health and Infectious Diseases, University of Rome Sapienza, 00182 Rome, Italy.ORCID 0000-0001-5921-3180
Mario VendittiDepartment of Public Health and Infectious Diseases, University of Rome Sapienza, 00182 Rome, Italy.
Gabriella d'EttorreDepartment of Public Health and Infectious Diseases, University of Rome Sapienza, 00182 Rome, Italy.ORCID 0000-0002-3571-5677
Delft University of Technology · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Invasive pulmonary aspergillosis (IPA) is typically considered a disease of immunocompromised patients, but, recently, many cases have been reported in patients without typical risk factors. The aim of our study is to develop a risk predictive model for IPA through machine learning techniques (decision trees) in patients with influenza. We conducted a retrospective observational study analyzing data regarding patients diagnosed with influenza hospitalized at the University Hospital "Umberto I" of Rome during the 2018-2019 season. We collected five IPA cases out of 77 influenza patients. Although the small sample size is a limit, the most vulnerable patients among the influenza-infected population seem to be those with evidence of lymphocytopenia and those that received corticosteroid therapy.

Indexed as

antifungal drugsdecision treesEORTC/MSGinfluenzainvasive pulmonary aspergillosisItalymachine learningrisk score

Identifiers

PMID32993060
PMCPMC7600971
OpenAlexW3088219591

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.