Evidence map›Paper›PMID 37705514›Full record

ArticleInfection and drug resistance2023

Body Mass Index as a Major Prognostic Contributing Factor in COVID-19: A Multicentral Egyptian Study.

Hossam Abd El-Moez Mohammed, Mohammed H Hassan, Hytham Abdalla, Marwa Ahmed Mahmoud, Amira Maher, Mohamed Malak, Mohammed Tag-Adeen, Mohamed Ramadan Izzaldin, Sara Adel, Wael Esmat Ali and 6 more

Abstract read
In one paragraph

Article in Infection and drug resistance, 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
–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

2 citing papers in PubMed.

  1. Article
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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

16 authors.

Hossam Abd El-Moez MohammedDepartment of Chest Diseases, Faculty of Medicine, Luxor University, Luxor, Egypt.
Mohammed H HassanDepartment of Medical Biochemistry, Faculty of Medicine, South Valley University, Qena, 83523, Egypt.ORCID 0000-0003-2698-9438
Hytham AbdallaDepartment of Chest Diseases, Faculty of Medicine, Al-Azhar University (Assiut Branch), Assiut, Egypt.
Marwa Ahmed MahmoudDepartment of Medical Physiology, Faculty of Medicine, Sohag University, Sohag, Egypt.
Amira MaherDepartment of Tropical Medicine and Gastroenterology, Faculty of Medicine, Sohag University, Sohag, Egypt.
Mohamed MalakDepartment of Internal Medicine, Faculty of Medicine, Sohag University, Sohag, Egypt.
Mohammed Tag-AdeenDepartment of Internal Medicine, Division of Gastroenterology and Hepatology, Faculty of Medicine, South Valley University, Qena, 83523, Egypt.ORCID 0000-0001-9813-3191
Mohamed Ramadan IzzaldinDepartment of Clinical Pathology, Faculty of Medicine, Al-Azhar University (Assiut Branch), Assiut, Egypt.
Sara AdelDepartment of Clinical Pathology, Faculty of Medicine, Al-Azhar University (Assiut Branch), Assiut, Egypt.
Wael Esmat AliDepartment of Clinical Pathology, Faculty of Medicine, Al-Azhar University (Assiut Branch), Assiut, Egypt.
Alyaa Abo-RahmaDepartment of Public Health and Community Medicine, Faculty of Medicine, Al-Azhar University (Assiut Branch), Assiut, Egypt.
Mona Gouda Maghrabi Abd ElnabiDepartment of Diagnostic Radiology, Faculty of Medicine, Luxor University, Luxor, Egypt.
Ibrahim Ahmed Mosa AbdallaAnasthesia and Critical Care Department, Faculty of Medicine, Luxor University, Luxor, Egypt.
Mohamed Fakhry Mohamed MorsyHepatology, Gastroenterology and Infectious Diseases Department, Faculty of Medicine, Al-Azhar University (Assiut Branch), Assiut, Egypt.
Mohamed Abdel Fattah Mohamed SayedDepartment of Tropical Medicine and Gastroenterology, Faculty of Medicine, Aswan University, Aswan, Egypt.
Usama Mohamed AbdelaalDepartment of Internal Medicine, Faculty of Medicine, Sohag University, Sohag, Egypt.ORCID 0000-0001-9998-668X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Extreme body mass index (BMI) is an influential pathophysiological risk factor for serious illnesses following lower respiratory tract infection. The purpose of the current study was to examine how the BMI of Coronavirus disease-19 (COVID-19) patients affects their prognosis. Methods: Two hundred patients with COVID-19 admitted to Al-Azhar, Qena, Aswan, and Sohag University hospitals in Egypt were included and categorized into four groups according to their BMI. The diagnosis was made according to a real-time reverse transcription-polymerase chain reaction (rRT-PCR) positive result for the SARS-CoV-2 nucleic acid in swabs from upper respiratory tract. A detailed history, clinical examination, and outcomes (disease severity and complications, hospital stay, ICU admission, mortality) were recorded for all patients. SPSS version 24 software was used for data analysis. Results: Average age of participants (19-90 years old), 92 (46%) males and 108 females (54%). ICU admission was significantly higher among underweight patients (75%) and obese patients (78.6%). The majority of underweight (62.5%) and obese (57.1%) patients had critical disease. Invasive mechanical ventilation (MV) is frequently used in underweight (50%) and obese patients (42.9%) patients. Adult respiratory distress syndrome (ARDS), cardiac, neurological, and hematological complications, and incidence of myalgia and bed sores were most frequent among obese and overweight patients. Acute kidney injury was significantly higher among underweight patients (37.5%) and obese patients (28.6%) than among other classes ( Conclusion: Body mass index is a major contributing factor to the outcome of patients with COVID-19, and patients with extreme of body mass index were associated with the worst prognosis.

Indexed as

body mass indexCOVID-19intensive care unitobeseunderweight

Identifiers

PMID37705514
PMCPMC10496921

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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.