Evidence map›Paper›PMID 33110586›Full record

SynthesisJournal of global health2020

Effects of underlying morbidities on the occurrence of deaths in COVID-19 patients: A systematic review and meta-analysis.

Md Mostaured Ali Khan, Md Nuruzzaman Khan, Md Golam Mustagir, Juwel Rana, Md Saiful Islam, Md Iqbal Kabir

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 13 pooled it
2.8field-weighted citation impact, top 6% 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

83 citing papers in PubMed, 13 syntheses or guidelines pooled it, 140 citations in OpenAlex.

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23 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

6 authors at 4 institutions in 1 country.

Md Mostaured Ali KhanDepartment of Population Science and Human Resource Development, University of Rajshahi, Rajshahi, Bangladesh.
Md Nuruzzaman KhanDepartment of Population Sciences, Jatiya Kabi Kazi Nazrul Islam University, Trishal, Mymensingh, Bangladesh.
Md Golam MustagirDepartment of Population Science and Human Resource Development, University of Rajshahi, Rajshahi, Bangladesh.
Juwel RanaDepartment of Public Health, North South University, Bashundhara, Dhaka, Bangladesh.
Md Saiful IslamPlanning, Monitoring and Research, Directorate General of Health Services (DGHS), Mohakhali, Dhaka, Bangladesh.
Md Iqbal KabirPlanning, Monitoring and Research, Directorate General of Health Services (DGHS), Mohakhali, Dhaka, Bangladesh.
Directorate General of Health Services · BDUniversity of Rajshahi · BDJatiya Kabi Kazi Nazrul Islam University · BDNorth South University · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19), the most hectic pandemic of the era, is increasing exponentially and taking thousands of lives worldwide. This study aimed to assess the prevalence of pre-existing comorbidities among COVID-19 patients and their mortality risks with each category of pre-existing comorbidity.

methodsTo conduct this systematic review and meta-analysis, Medline, Web of Science, Scopus, and CINAHL databases were searched using pre-specified search strategies. Further searches were conducted using the reference list of the selected studies, renowned preprint servers (eg, medRxiv, bioRxiv, SSRN), and relevant journals' websites. Studies written in the English language included if those were conducted among COVID-19 patients with and without comorbidities and presented survivor vs non-survivor counts or hazard/odds of deaths or survivors with types of pre-existing comorbidities. Comorbidities reported in the selected studies were grouped into eight categories. The pooled likelihoods of deaths in each category were estimated using a fixed or random-effect model, based on the heterogeneity assessment. Publication bias was assessed by visual inspection of the funnel plot asymmetry and Egger's regression test. Trim and Fill method was used if there any publication bias was found.

resultsA total of 41 studies included in this study comprised of 27 670 samples. The most common pre-existing comorbidities in COVID-19 patients were hypertension (39.5%), cardiovascular disease (12.4%), and diabetes (25.2%). The higher likelihood of deaths was found among COVID-19 patients who had pre-existing cardiovascular diseases (odds ratio (OR) = 3.42, 95% confidence interval (CI) = 2.86-4.09), immune and metabolic disorders (OR = 2.46, 95% CI = 2.03-2.85), respiratory diseases (OR = 1.94, 95% CI = 1.72-2.19), cerebrovascular diseases (OR = 4.12, 95% CI = 3.04-5.58), any types of cancers (OR = 2.22, 95% CI = 1.63-3.03), renal (OR = 3.02, 95% CI = 2.60-3.51), and liver diseases (OR = 2.35, 95% CI = 1.50-3.69).

conclusionsThis study provides evidence that COVID-19 patients with pre-existing comorbidities had a higher likelihood of death. These findings could potentially help health care providers to sort out the most susceptible COVID-19 patients by comorbidities, take precautionary measures during hospitalization, assess susceptibility to death, and prioritize their treatment, which could potentially reduce the number of fatalities in COVID-19.

Indexed as

BetacoronavirusAdultAgedAged, 80 and overCardiovascular DiseasesComorbidityCoronavirus InfectionsCOVID-19Diabetes MellitusFemaleHumansHypertensionMaleMiddle AgedNeoplasmsPandemics

Identifiers

PMID33110586
PMCPMC7567434
OpenAlexW3081482126

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.