Evidence map›Paper›PMID 39594194›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Comment on Uzun Ozsahin et al. COVID-19 Prediction Using Black-Box Based Pearson Correlation Approach.

Manuel Graña, Goizalde Badiola-Zabala, Guillermo Cano-Escalera

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. 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

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

3 authors.

Manuel GrañaComputational Intelligence Group, Computer Science Faculty, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain.
Goizalde Badiola-ZabalaComputational Intelligence Group, Computer Science Faculty, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain.ORCID 0000-0002-3551-4605
Guillermo Cano-EscaleraComputational Intelligence Group, Computer Science Faculty, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain.ORCID 0009-0005-1421-5496

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The declaration of the COVID-19 pandemic by the World Health Organization (WHO) in March 2020 has triggered the publication of thousands of papers covering a plethora of aspects of the pandemic, from epidemiology models [...].

Identifiers

PMID39594194
PMCPMC11592728

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.