Evidence map›Paper›PMID 35283713›Full record

ArticleSaudi journal of medicine & medical sciences

External Validation of 4C ISARIC Mortality Score in Critically ill COVID-19 Patients from Saudi Arabia.

Waleed Tharwat Aletreby, Shahzad Ahmad Mumtaz, Saima Akhtar Shahzad, Intekhab Ahmed, Mohammed Ali Alodat, Mohamed Gharba, Zohdi Ahmed Farea, Ahmed Fouad Mady, Waqas Mahmood, Huda Mhawish and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Saudi journal of medicine & medical sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. 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

12 authors at 4 institutions in 3 countries.

Waleed Tharwat AletrebyCritical Care Department, King Saud Medical City, Australia.
Shahzad Ahmad MumtazCritical Care Department, King Saud Medical City, Australia.
Saima Akhtar ShahzadCritical Care Department, King Saud Medical City, Australia.
Intekhab AhmedCritical Care Department, King Saud Medical City, Australia.
Mohammed Ali AlodatCritical Care Department, King Saud Medical City, Australia.
Mohamed GharbaCritical Care Department, The Wollongong Hospital, NSW, Australia.
Zohdi Ahmed FareaCritical Care Department, King Saud Medical City, Australia.
Ahmed Fouad MadyCritical Care Department, King Saud Medical City, Australia.
Waqas MahmoodCritical Care Department, King Saud Medical City, Australia.
Huda MhawishCritical Care Department, King Saud Medical City, Australia.
Majd Munia AbdulmowlaCollege of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
Rehab Mohammed NasserInternal Medicine Department, Prince Mohammed Bin Abdulaziz Hospital, Riyadh, Saudi Arabia.
Alfaisal University · SAKing Saud Medical City · SAPrince Mohammed bin Abdulaziz Hospital · SAWollongong Hospital · AU

Funding

Medical Research Council MC_PC_15001
6 · The paper itself

Abstract

Background: ISARIC mortality score is a risk stratification tool that helps predict the in-hospital mortality of COVID-19 patients. However, this tool was developed and validated in a British population, and thus, the external validation of this tool in local populations is important. Objectives: External validation of the ISARIC mortality score in COVID-19 patients from a large Saudi Arabian intensive care unit (ICU). Methods: This is a retrospective study that included all adult patients with COVID-19 admitted to the ICU of King Saud Medical City, Riyadh, Saudi Arabia, from March 2020 to June 2021. Patients who were pregnant or had pulmonary tuberculosis/human immunodeficiency virus were excluded along with patients with missing variables. Data were collected to calculate the ISARIC mortality score and then fitting receiver operator characteristic curve against patients' outcome. Results: A total of 1493 critically ill COVID-19 patients were included. The mortality was 38%, the area under the curve of the score was 0.81 (95% confidence interval [CI]: 0.79-0.83, Conclusion: The ISARIC score was found to have excellent predictive ability for mortality in critically ill COVID-19 patients in our Saudi Arabian cohort. A cutoff score of >9 was the optimal criterion.

Indexed as

COVID-19ISARICmortalitySaudi Arabiasensitivity and specificitysurvival

Identifiers

PMID35283713
PMCPMC8869262
OpenAlexW4206684229

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

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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.