Evidence map›Paper›PMID 35362771›Full record

ReviewClinical and experimental medicine2023

Comorbidities and clinical complications associated with SARS-CoV-2 infection: an overview.

Anamika Gupta, Hezlin Marzook, Firdos Ahmad

Abstract readReview
In one paragraph

Review in Clinical and experimental medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
–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

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

3 authors.

Anamika GuptaCardiovascular Research Group, Sharjah Institute for Medical Research, University of Sharjah, Sharjah, 27272, UAE.
Hezlin MarzookCardiovascular Research Group, Sharjah Institute for Medical Research, University of Sharjah, Sharjah, 27272, UAE.
Firdos AhmadCardiovascular Research Group, Sharjah Institute for Medical Research, University of Sharjah, Sharjah, 27272, UAE. fahmad@sharjah.ac.ae.ORCID http://orcid.org/0000-0001-6530-6068

Funding

University of Sharjah 1801090144-PUniversity of Sharjah 1901090162-PUniversity of Sharjah CoV-0302
6 · The paper itself

Abstract

The novel severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) causes major challenges to the healthcare system. SARS-CoV-2 infection leads to millions of deaths worldwide and the mortality rate is found to be greatly associated with pre-existing clinical conditions. The existing dataset strongly suggests that cardiometabolic diseases including hypertension, coronary artery disease, diabetes and obesity serve as strong comorbidities in coronavirus disease (COVID-19). Studies have also shown the poor outcome of COVID-19 in patients associated with angiotensin-converting enzyme-2 polymorphism, cancer chemotherapy, chronic kidney disease, thyroid disorder, or coagulation dysfunction. A severe complication of COVID-19 is mostly seen in people with compromised medical history. SARS-CoV-2 appears to attack the respiratory system causing pneumonia, acute respiratory distress syndrome, which lead to induction of severe systemic inflammation, multi-organ dysfunction, and death mostly in the patients who are associated with pre-existing comorbidity factors. In this article, we highlighted the key comorbidities and a variety of clinical complications associated with COVID-19 for a better understanding of the etiopathogenesis of COVID-19.

Indexed as

COVID-19HypertensionComorbidityHumansObesitySARS-CoV-2CancerCardiovascular diseaseComorbidityCOVID-19DiabetesThyroid disorder

Identifiers

PMID35362771
PMCPMC8972750

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.