Evidence map›Paper›PMID 35911421›Full record

ArticleFrontiers in medicine2022

Demographic Characteristics, Comorbidities, and Length of Stay of COVID-19 Patients Admitted Into Intensive Care Units in Saudi Arabia: A Nationwide Retrospective Study.

Maram Al-Otaiby, Khalid M Almutairi, Jason M Vinluan, Ahad Al Seraihi, Wadi B Alonazi, Mohammad Hassan Qahtani, Thamer Aljeri, Manal A Alhumud, Nadhar Alobaidi, Sultana A Alhurishi

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.6field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 26 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

10 authors at 3 institutions in 1 country.

Maram Al-OtaibyThe Saudi Ministry of Health, Riyadh, Saudi Arabia.
Khalid M AlmutairiDepartment of Community Health Science, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
Jason M VinluanDepartment of Community Health Science, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
Ahad Al SeraihiThe Saudi Ministry of Health, Riyadh, Saudi Arabia.
Wadi B AlonaziCollege of Business Administration, King Saud University, Riyadh, Saudi Arabia.
Mohammad Hassan QahtaniThe Saudi Ministry of Health, Riyadh, Saudi Arabia.
Thamer AljeriThe Saudi Ministry of Health, Riyadh, Saudi Arabia.
Manal A AlhumudDepartment of Community Health Science, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
Nadhar AlobaidiThe Saudi Ministry of Health, Riyadh, Saudi Arabia.
Sultana A AlhurishiDepartment of Community Health Science, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
Ministry of Health · SAKing Saud University · SAUniversity of Business and Technology · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to describe the demographic characteristics and determine the risk factors associated with disease severity and length of hospital and intensive care unit (ICU) stay in a cohort of COVID-19 patients admitted into ICU in Saudi Arabia. Methods: This was a national, multi-center, retrospective cross-sectional study of all COVID-19 cases admitted into different ICUs in Saudi Arabia between March 2020 and September 202l. Demographic, clinical features, comorbidities, and length of stay (LOS) data were retrieved from the national Health Electronic Surveillance Network (HESN) and Taqassi databases at the Saudi Ministry of Health (MOH) for subsequent analyses. We used multiple linear regression models to determine risk factors associated with critical outcomes (including LOS in ICU) among COVID-19 cases. Results: A total of 12,436 COVID-19 patients were included in this study, with a mean age of 59.57 ± 18.30 years and 7,679 (62%) were <65 years old. COVID-19 was more common in males ( Conclusions: COVID-19 continues to affect millions of people around the world, with a mortality rate of about 2-3% of all infected patients. Our analysis revealed that comorbidities such as chronic kidney disease, cardiovascular disease, diabetes, and older age were significant risk factors associated with a poorer prognosis and longer duration of stay in hospitals and ICU.

Indexed as

COVID-19ICU admissionlength of stayrisk factorsSaudi Arabia

Identifiers

PMID35911421
PMCPMC9325959
OpenAlexW4285087054

What Socratic holds

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LicenceCC BY
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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 Socratic graph.