Evidence map›Paper›PMID 33895561›Full record

ArticleClinical imaging2021

Lack of AI-based method for pneumocystis pneumonia classification in radiological diagnosis of SARS-CoV-2.

Narjes Benameur, Ramzi Mahmoudi, Soraya Zaid, Younes Arous, Badii Hmida, Asma Migaou, Mohamed Hedi Bedoui

Abstract readComment
In one paragraph

Article in Clinical imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Narjes BenameurUniversity of Tunis El Manar, Higher Institute of Medical Technologies of Tunis, Laboratory of Biophysics and Medical Technology, Tunis, Tunisia. Electronic address: narjes.benameur@yahoo.fr.
Ramzi MahmoudiUniversité de Monastir, Laboratoire Technologie Imagerie Médicale, LTIM-LR12ES06, Faculté de Médecine de Monastir, 5019 Monastir, Tunisia; Université Paris-Est, Laboratoire d'Informatique Gaspard-Monge, Unité Mixte CNRS-UMLV-ESIEE UMR8049, ESIEE Paris Cité Descartes, BP99, 93162 Noisy Le Grand, France.
Soraya ZaidService Imagerie, Centre Hospitalier Escartons, Briancon, France.
Younes ArousRadiology Service, Military Hospital of Instruction of Tunis, Tunisia.
Badii HmidaRadiologie Service, UR12SP40, CHU Fattouma Bourguiba, 5019 Monastir, Tunisia.
Asma MigaouAHU Service de Pneumo-Allergologie, CHU Fattouma Bourguiba, 5019 Monastir, Tunisia.
Mohamed Hedi BedouiUniversité de Monastir, Laboratoire Technologie Imagerie Médicale, LTIM-LR12ES06, Faculté de Médecine de Monastir, 5019 Monastir, Tunisia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

COVID-19Pneumonia, PneumocystisArtificial IntelligenceHumansLungSARS-CoV-2

Identifiers

PMID33895561
PMCPMC8059283

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.