Evidence map›Paper›PMID 37970094›Full record

ArticleFuture virology2023

Validation of a risk prediction model for COVID-19: the PERIL prospective cohort study.

Shahd A Mohammedain, Saif Badran, AbdelNaser Y Elzouki, Halla Salim, Ayesha Chalaby, Mya Siddiqui, Yehia Y Hussein, Hanan Abdul Rahim, Lukman Thalib, Mohammed Fasihul Alam and 3 more

Open access · greenAbstract read
In one paragraph

Article in Future virology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Bridging Gaps in Long COVID Therapy: A Review.Current medicinal chemistry · 2026
    Review
  2. 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

13 authors at 4 institutions in 2 countries.

Shahd A MohammedainDepartment of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar.
Saif BadranDepartment of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar.
AbdelNaser Y ElzoukiDepartment of Internal Medicine Hamad General Hospital Hamad Medical Corporation, Doha, Qatar.
Halla SalimDepartment of Internal Medicine Hamad General Hospital Hamad Medical Corporation, Doha, Qatar.
Ayesha ChalabyDepartment of Internal Medicine Hamad General Hospital Hamad Medical Corporation, Doha, Qatar.
Mya SiddiquiDepartment of Internal Medicine Hamad General Hospital Hamad Medical Corporation, Doha, Qatar.
Yehia Y HusseinDepartment of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar.ORCID https://orcid.org/0000-0003-3523-9241
Hanan Abdul RahimDepartment of Public Health, College of Health Sciences, QU Health, Qatar University, Doha, Qatar.
Lukman ThalibDepartment of Biostatistics, Faculty of Medicine, Istanbul Aydin University, Istanbul, Turkey.
Mohammed Fasihul AlamDepartment of Public Health, College of Health Sciences, QU Health, Qatar University, Doha, Qatar.
Daoud Al-BadriyehCollege of Pharmacy, QU Health, Qatar University, Doha, Qatar.ORCID https://orcid.org/0000-0001-7791-954X
Sumaya Al-MaadeedDepartment of Computer Science, College of Engineering, Qatar University, Doha, Qatar.
Suhail Ar DoiDepartment of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar.ORCID https://orcid.org/0000-0002-2630-2125
Qatar University · QAHamad General Hospital · QAHamad Medical Corporation · QAIstanbul Aydın University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

COVID-19disease severityprognosisrisk prediction

Identifiers

PMID37970094
PMCPMC10630949
OpenAlexW4388463670

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.