Evidence map›Paper›PMID 33875972›Full record

ArticleObesity medicine2021

Does higher body mass index increase COVID-19 severity? A systematic review and meta-analysis.

Akibul Islam Chowdhury, Mohammad Rahanur Alam, Md Fazley Rabbi, Tanjina Rahman, Sompa Reza

Open access · greenAbstract read
In one paragraph

Article in Obesity medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

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  14. Modifiable Risk Factors for SARS-CoV-2.Integrative medicine (Encinitas, Calif.) · 2021
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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

5 authors at 2 institutions in 1 country.

Akibul Islam ChowdhuryDepartment of Food Technology and Nutrition Science, Noakhali Science and Technology University, Bangladesh.
Mohammad Rahanur AlamDepartment of Food Technology and Nutrition Science, Noakhali Science and Technology University, Bangladesh.
Md Fazley RabbiDepartment of Biotechnology and Genetic Engineering, Noakhali Science and Technology University, Bangladesh.
Tanjina RahmanDepartment of Food Technology and Nutrition Science, Noakhali Science and Technology University, Bangladesh.
Sompa RezaInstitute of Nutrition and Food Science, University of Dhaka, Bangladesh.
Noakhali Science and Technology University · BDUniversity of Dhaka · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionObesity and higher BMI is one of the leading comorbidities to increase the risk of COVID-19 severity. This paper presents a systematic review and meta-analysis estimating the effects of overweight and obesity on COVID-19 disease severity.

methodTwo electronic databases (Medline and Cochrane library) and one grey literature database (Grey Literature Report) were searched. The risks of bias of the selected studies were assessed by using the Navigation Guide method for human data. Both random and fixed effect meta-analyses were determined using Review Manager (RevMan) software version 5.4.

resultsAfter initial screening, 12 studies were fulfilled the eligibility criteria, comprising a total of 405359 patients, and included in the systematic review. The pooled risk of COVID-19 severity was 1.31 times higher based on both fixed and random effect model among those overweight patients,

conclusionOverweight and obesity are found to be risk factors for disease severity of COVID-19 patients. However, further assessment of metabolic parameters is required to estimate the risk factors of COVID-19 patients and understanding the mechanism between COVID-19 and body mass index.

Indexed as

BMICOVID-19ObesityOverweight

Identifiers

PMID33875972
PMCPMC8046705
OpenAlexW3152612562

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.