Evidence map›Paper›PMID 33727906›Full record

ArticleJournal of Taibah University Medical Sciences2021

Determining the correlation between comorbidities and MERS-CoV mortality in Saudi Arabia.

Mohammad H Alotaibi, Salman A Bahammam

Open access · goldAbstract read
In one paragraph

Article in Journal of Taibah University Medical Sciences, 2021. 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
0.3field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. MERS-COV in the Middle East, a one health concept approach.One health (Amsterdam, Netherlands) · 2025
    Review
  2. Article
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

2 authors at 1 institution in 1 country.

Mohammad H AlotaibiDepartment of Family Medicine, Joint Program of Postgraduate Studies of Family Medicine, Jeddah, KSA.
Salman A BahammamDepartment of Medicine, College of Medicine, King Saud University, Riyadh, KSA.
King Saud University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAs of January 2020, there were 2,519 confirmed Middle East respiratory syndrome coronavirus (MERS-CoV) cases with 866 deaths across 27 countries. Most of these cases (2,121) were reported in Saudi Arabia. Since the initial identification of MERS, few studies have investigated the role of comorbidities that could potentially lead to mortality in cases of the infectious disease. This study aimed to examine the association between comorbidities and MERS mortality in Saudi Arabia.

methodsThis is a retrospective descriptive study. We retrieved the data published by the World Health Organization (WHO) between January 2017 and November 2019, and analysed the association between comorbidities and mortality.

resultsWe found 572 MERS-CoV cases reported by WHO in Saudi Arabia during the defined period. Of these, 387 (68%) had a history of chronic illness. The overall mortality rate was found to be 25%. Diabetes mellitus was the most prevalent comorbidity-the mortality rate in the diabetics was 32% as opposed to 12% in the non-diabetics (

conclusionOur study shows that MERS-CoV had a significant case fatality rate in patients with comorbidities. Thus, it will be beneficial if future clinical trials for MERS-CoV examine the impact of improved societal infection control measures such as social distancing and masks, in the context of the coronavirus disease 2019 pandemic, on the prevalence and incidence of MERS and its clinical outcomes.

Indexed as

ComorbiditiesKSAMiddle East respiratory syndromeMortalityRisk factors

Identifiers

PMID33727906
PMCPMC7952253
OpenAlexW3135401195

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.