Evidence map›Paper›PMID 34408431›Full record

ArticleJournal of multidisciplinary healthcare2021

Comorbidities and Risk Factors for Severe Outcomes in COVID-19 Patients in Saudi Arabia: A Retrospective Cohort Study.

Fatema S Shaikh, Nahier Aldhafferi, Areej Buker, Abdullah Alqahtani, Subhodeep Dey, Saema Abdulhamid, Dalal Ali Mahaii AlBuhairi, Raha Saud Abdulaziz Alkabour, Waad Sami O Atiyah, Sara Bachar Chrouf and 6 more

Open access · goldAbstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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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

16 authors at 4 institutions in 3 countries.

Fatema S ShaikhCollege of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Eastern Province, Saudi Arabia.ORCID 0000-0003-4323-4627
Nahier AldhafferiCollege of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Eastern Province, Saudi Arabia.ORCID 0000-0002-0330-8436
Areej BukerCollege of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Eastern Province, Saudi Arabia.ORCID 0000-0002-6031-4963
Abdullah AlqahtaniCollege of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Eastern Province, Saudi Arabia.ORCID 0000-0002-1655-0416
Subhodeep DeyIndian Institute of Management - Calcutta, Kolkata, India.
Saema AbdulhamidCollege of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Eastern Province, Saudi Arabia.ORCID 0000-0003-0676-6552
Dalal Ali Mahaii AlBuhairiCollege of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Eastern Province, Saudi Arabia.ORCID 0000-0002-1744-8616
Raha Saud Abdulaziz AlkabourCollege of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Eastern Province, Saudi Arabia.ORCID 0000-0002-5495-4008
Waad Sami O AtiyahCollege of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Eastern Province, Saudi Arabia.ORCID 0000-0003-2066-929X
Sara Bachar ChroufCollege of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Eastern Province, Saudi Arabia.ORCID 0000-0002-1085-7660
Abdussalam AlshehriPrince Mohammed bin Abdulaziz Hospital, Riyadh, Saudi Arabia.ORCID 0000-0003-3023-8143
Sunday Olusanya OlatunjiCollege of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Eastern Province, Saudi Arabia.ORCID 0000-0003-2993-7641
Abdullah M AlmuhaidebCollege of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Eastern Province, Saudi Arabia.ORCID 0000-0002-2004-5324
Mohammed S AlshahraniCollege of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Eastern Province, Saudi Arabia.ORCID 0000-0001-5946-2128
Yousof AlMunsourCollege of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Eastern Province, Saudi Arabia.ORCID 0000-0001-8283-4217
Vahitha B Abdul-SalamCentre for Cardiovascular Medicine and Device Innovation, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.ORCID 0000-0002-3568-9771
Imam Abdulrahman Bin Faisal University · SAIndian Institute of Management Calcutta · INPrince Mohammed bin Abdulaziz Hospital · SAQueen Mary University of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe first novel coronavirus disease-19 (COVID-19) case in the Kingdom of Saudi Arabia (KSA) was reported in Qatif in March 2020 with continual increase in infection and mortality rates since then. In this study, we aim to determine risk factors which effect severity and mortality rates in a cohort of hospitalized COVID-19 patients in KSA.

methodWe reviewed medical records of hospitalized patients with confirmed COVID-19 positive results via reverse-transcriptase-polymerase-chain-reaction (RT-PCR) tests at Prince Mohammed Bin Abdulaziz Hospital, Riyadh between May and August 2020. Data were obtained for patient's demography, body mass index (BMI), and comorbidities. Additional data on patients that required intensive care unit (ICU) admission and clinical outcomes were recorded and analyzed with Python Pandas.

resultsA total of 565 COVID-19 positive patients were inducted in the study out of which, 63 (11.1%) patients died while 101 (17.9%) patients required ICU admission. Disease incidences were significantly higher in males and non-Saudi nationals. Patients with cardiovascular, respiratory, and renal diseases displayed significantly higher association with ICU admissions (p<0.001) while mortality rates were significantly higher in COVID-19 patients with cardiovascular, respiratory, renal and neurological diseases. Univariate cox proportional hazards regression model showed that COVID-19 positive patients requiring ICU admission [Hazard's ratio, HR=4.2 95% confidence interval, CI 2.5-7.2);

conclusionIndependent risk factors for critical outcomes among COVID-19 in KSA include cardiovascular, respiratory and renal comorbidities.

Indexed as

comorbiditiesCOVID-19KSAmortality raterisk factorsSARS-CoV-2

Identifiers

PMID34408431
PMCPMC8367214
OpenAlexW3190613785

What OpenQuestion holds

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LicenceCC BY-NC
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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.