Evidence map›Paper›PMID 33879826›Full record

SynthesisScientific reports2021

A systematic review and meta-analysis of geographic differences in comorbidities and associated severity and mortality among individuals with COVID-19.

Bhaskar Thakur, Pallavi Dubey, Joseph Benitez, Joshua P Torres, Sireesha Reddy, Navkiran Shokar, Koko Aung, Debabrata Mukherjee, Alok Kumar Dwivedi

Registry-linked trialOpen access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05950230 (A Case-Control Study on the Association Between Periodontal Health and Gingival Crevicular Level of Matrix Metalloproteinase-8 in Post COVID-19 Patients), which is not on this map. Cited by 162 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
162citing papers in PubMed, 4 pooled it
17.5field-weighted citation impact, top 1% 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.

NCT05950230 unknown statusnot on this mapstarted 2023, after this paper: background citation

A Case-Control Study on the Association Between Periodontal Health and Gingival Crevicular Level of Matrix Metalloproteinase-8 in Post COVID-19 Patients

TypeobservationalSponsorAin Shams UniversityRan2023 to 2023Enrolled90ConditionsPost COVID-19 ConditionArmsAssess Periodontal Health Status, Collecte GCF samples by paperstrip
3 · Its place in the literature

Who cites it

162 citing papers in PubMed, 4 syntheses or guidelines pooled it, 290 citations in OpenAlex.

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  9. Reclassification and weighting of multiple causes of death: US death certificates 2003-2023.Proceedings of the National Academy of Sciences of the United States of America · 2026
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102 more citing papers are in PubMed but not listed here.

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

9 authors at 2 institutions in 1 country.

Bhaskar ThakurDivision of Biostatistics and Epidemiology, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, 5001 El Paso Drive, El Paso, TX, 79905, USA.
Pallavi DubeyDepartment of Obstetrics and Gynecology, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, 4800 Alberta Avenue, El Paso, TX, 79905, USA.
Joseph BenitezGraduate School of Biomedical Sciences, Texas Tech University Health Sciences Center El Paso, 5001 El Paso Drive, El Paso, TX, 79905, USA.
Joshua P TorresGraduate School of Biomedical Sciences, Texas Tech University Health Sciences Center El Paso, 5001 El Paso Drive, El Paso, TX, 79905, USA.
Sireesha ReddyDepartment of Obstetrics and Gynecology, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, 4800 Alberta Avenue, El Paso, TX, 79905, USA.
Navkiran ShokarDepartment of Family and Community Medicine, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, 9849 Kenworthy St., El Paso, TX, 79924, USA.
Koko AungDepartment of Internal Medicine, Paul L. Foster School of Medicine, Texas Tech University Health Science Center El Paso, 4800 Alberta Ave, El Paso, TX, 79905, USA.
Debabrata MukherjeeDepartment of Internal Medicine, Paul L. Foster School of Medicine, Texas Tech University Health Science Center El Paso, 4800 Alberta Ave, El Paso, TX, 79905, USA.
Alok Kumar DwivediDivision of Biostatistics and Epidemiology, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, 5001 El Paso Drive, El Paso, TX, 79905, USA. alok.dwivedi@ttuhsc.edu.
Texas Tech University · USTexas Tech University Health Sciences Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several comorbidities have been shown to be associated with coronavirus disease 2019 (COVID-19) related severity and mortality. However, considerable variation in the prevalence estimates of comorbidities and their effects on COVID-19 morbidity and mortality have been observed in prior studies. This systematic review and meta-analysis aimed to determine geographical, age, and gender related differences in the prevalence of comorbidities and associated severity and mortality rates among COVID-19 patients. We conducted a search using PubMed, Scopus, and EMBASE to include all COVID-19 studies published between January 1st, 2020 to July 24th, 2020 reporting comorbidities with severity or mortality. We included studies reporting the confirmed diagnosis of COVID-19 on human patients that also provided information on comorbidities or disease outcomes. We used DerSimonian and Laird random effects method for calculating estimates. Of 120 studies with 125,446 patients, the most prevalent comorbidity was hypertension (32%), obesity (25%), diabetes (18%), and cardiovascular disease (16%) while chronic kidney or other renal diseases (51%, 44%), cerebrovascular accident (43%, 44%), and cardiovascular disease (44%, 40%) patients had more COVID-19 severity and mortality respectively. Considerable variation in the prevalence of comorbidities and associated disease severity and mortality in different geographic regions was observed. The highest mortality was observed in studies with Latin American and European patients with any medical condition, mostly older adults (≥ 65 years), and predominantly male patients. Although the US studies observed the highest prevalence of comorbidities in COVID-19 patients, the severity of COVID-19 among each comorbid condition was highest in Asian studies whereas the mortality was highest in the European and Latin American countries. Risk stratification and effective control strategies for the COVID-19 should be done according to comorbidities, age, and gender differences specific to geographical location.

Indexed as

ComorbidityAgedAged, 80 and overAge FactorsAsiaCOVID-19EuropeFemaleHumansLatin AmericaMalePrevalenceSeverity of Illness IndexSex Factors

Identifiers

PMID33879826
PMCPMC8058064
OpenAlexW3152572687

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.