Evidence map›Paper›PMID 38371162›Full record

ArticleCureus2024

Body Mass Index as a Predictor of COVID-19 Severity in ICU Patients in Saudi Arabia: A Retrospective Analysis.

Abdulrahman A Alomran, Khalid A Althubaiti, Hussain A Alabdullah, Heba B Al Bisher, Atheer Awadh, Hind A Al Shankiti, Laura Almazyad, Leen A Aljandul, Abrar T Aljohani, Obay W Dhafar and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 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
0.4field-weighted citation impact, top 45% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

12 authors at 6 institutions in 3 countries.

Abdulrahman A AlomranSurgery, King Saud University, Riyadh, SAU.
Khalid A AlthubaitiSurgery, Ibn Sina National College for Medical Sciences, Jeddah, SAU.
Hussain A AlabdullahCollege of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, SAU.
Heba B Al BisherCollege of Medicine and Medical Science, Arabian Gulf University, Manama, BHR.
Atheer AwadhCollege of Medicine, Taif University, Taif , SAU.
Hind A Al ShankitiEmergency Medicine, Al Qunfudah General Hospital, Al Qunfudah, SAU.
Laura AlmazyadCollege of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, SAU.
Leen A AljandulCollege of Medicine, Imam Mohammad Ibn Saud Islamic University, Riyadh, SAU.
Abrar T AljohaniFamily Medicine, Faculty of Medicine, Ibn Sina National College for Medical Sciences, Jeddah, SAU.
Obay W DhafarInternal Medicine, King Abdulaziz University Hospital, Jeddah, SAU.
Zeyad A AlzahraniInternal Medicine, Presidency of State Security, Saudi Arabia, SAU.
Ayman M KharabaInternal Medicine Intensive Critical Care Unit, King Fahad Hospital, Madinah, SAU.
Arabian Gulf University · BHImam Abdulrahman Bin Faisal University · SAIslamic University · BDKing Abdulaziz University · SAKing Saud bin Abdulaziz University for Health Sciences · SAKing Saud University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction The global coronavirus disease 2019 (COVID-19) pandemic has prompted research into various risk factors, including the role of body mass index (BMI) in disease severity. This study specifically examines the correlation between BMI and the severity of COVID-19 among intensive care unit (ICU) patients in Saudi Arabia, addressing a gap in region-specific data. The study aims to assess the impact of BMI on the severity of COVID-19 in a Saudi Arabian ICU patient cohort, providing insights into how this relationship varies in different demographic contexts. Materials and methods Employing a retrospective cohort design, the study analyzed data from adult ICU patients in Saudi Arabia diagnosed with COVID-19. It focused on variables like BMI at admission, demographic information, and COVID-19 outcomes including severity, recovery, and mortality. Statistical analysis involved regression models, adjusting for age, gender, and comorbidities. Results Unlike global observations, the study found no significant correlation between BMI and COVID-19 severity in the Saudi Arabian context. This suggests that in this specific demographic, other factors may be more critical in determining the severity of the disease. Conclusion Our findings challenge the global consensus on BMI as a key factor in COVID-19 severity, highlighting the importance of regional differences in disease dynamics. They underscore the need for localized healthcare strategies and further research into diverse demographic factors affecting COVID-19. This study contributes to a broader understanding of the pandemic and encourages region-specific approaches in both clinical and public health spheres.

Indexed as

bmi impact analysiscovid-19 severityelectronic health recordsicu patient studyretrospective cohort designsaudi arabian context

Identifiers

PMID38371162
PMCPMC10873537
OpenAlexW4390979167

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.