Evidence map›Paper›PMID 34627060›Full record

ArticleJournal of infection and public health2021

Haematological and radiological-based prognostic markers of COVID-19.

Suliman A Alsagaby, Abdulrhman Aljouie, Talal H Alshammari, Shabir Ahmad Mir, Fahad A Alhumaydhi, Waleed Al Abdulmonem, Hesham Alshaalan, Hassan Alomaish, Rayyan Daghistani, Ali Alsehawi and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of infection and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 13 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

11 authors at 4 institutions in 1 country.

Suliman A AlsagabyDepartment of Medical Laboratories Sciences, College of Applied Medical Sciences, Majmaah University, AL-Majmaah 11932, Saudi Arabia. Electronic address: s.alsaqaby@mu.edu.sa.
Abdulrhman AljouieBioinformatics Section, King Abdullah Medical Research Center, Riyadh, Saudi Arabia; Health Informatics, King Saud bin Abdulaziz University for Health Sciences, National Guard Health Affairs, Riyadh, Saudi Arabia. Electronic address: aljouieab@ngha.med.sa.
Talal H AlshammariDepartment of Medical Laboratories Sciences, College of Applied Medical Sciences, Majmaah University, AL-Majmaah 11932, Saudi Arabia; King Khaled General Hospital in Hafar Albaten, Saudi Arabia. Electronic address: t.abosaad.82@gmail.com.
Shabir Ahmad MirDepartment of Medical Laboratories Sciences, College of Applied Medical Sciences, Majmaah University, AL-Majmaah 11932, Saudi Arabia. Electronic address: s.mir@mu.edu.sa.
Fahad A AlhumaydhiDepartment of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah, Saudi Arabia. Electronic address: f.alhumaydhi@qu.edu.sa.
Waleed Al AbdulmonemDepartment of Pathology, College of Medicine, Qassim University, Buraydah, Saudi Arabia. Electronic address: waleedmonem@qumed.edu.sa.
Hesham AlshaalanDepartment of Medical Imaging, Ministry of National Guard - Health Affairs, Riyadh, Saudi Arabia. Electronic address: AlomaishHas@NGHA.MED.SA.
Hassan AlomaishDepartment of Medical Imaging, Ministry of National Guard - Health Affairs, Riyadh, Saudi Arabia. Electronic address: ShalanH@NGHA.MED.SA.
Rayyan DaghistaniDepartment of Medical Imaging, Ministry of National Guard - Health Affairs, Riyadh, Saudi Arabia. Electronic address: DaghistaniRa@NGHA.MED.SA.
Ali AlsehawiDepartment of Medical Imaging, Ministry of National Guard - Health Affairs, Riyadh, Saudi Arabia. Electronic address: AlSehaiwAl@NGHA.MED.SA.
Naif Khalaf AlharbiDepartment of Infectious Disease Research, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia. Electronic address: harbina2@ngha.med.sa.
National Guard Health Affairs · SAMajmaah University · SAKing Saud bin Abdulaziz University for Health Sciences · SAQassim University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has emerged in 2019 and caused a global pandemic in 2020, manifesting in the coronavirus disease 2019 (COVID-19). The majority of patients exhibit a mild form of the disease with no major complications; however, moderate to severe and fatal cases are of public health concerns. Predicting the potential prognosis of COVID-19 could assist healthcare workers in managing cases and controlling the pandemic in an effective way. Therefore, the objectives of the study were to search for biomarkers associated with COVID-19 mortality and predictors of the overall survival (OS).

methodsHere, clinical data of 6026 adult COVID-19 patients admitted to two large centers in Saudi Arabia (Riyadh and Hafar Al-Batin cities) between April and June 2020 were retrospectively analysed.

resultsMore than 23% of the study subjects with available data have died, enabling the prediction of mortality in our cohort. Markers that were significantly associated with mortality in this study were older age, increased d-dimer in the blood, higher counts of WBCs, higher percentage of neutrophil, and a higher chest X-ray (CXR) score. The CXR scores were also positively associated with age, d-dimer, WBC count, and percentage of neutrophil. This supports the utility of CXR scores in the absence of blood testing. Predicting mortality based on Ct values of RT-PCR was not successful, necessitating a more quantitative RT-PCR to determine virus quantity in samples. Our work has also identified age, d-dimer concentration, leukocyte parameters and CXR score to be prognostic markers of the OS of COVID-19 patients.

conclusionOverall, this retrospective study on hospitalised cohort of COVID-19 patients presents that age, haematological, and radiological data at the time of diagnosis are of value and could be used to guide better clinical management of COVID-19 patients.

Indexed as

COVID-19AdultAgedHumansPandemicsPrognosisRetrospective StudiesSARS-CoV-2COVID-19HaematologyMarkerPrognosisRadiology

Identifiers

PMID34627060
PMCPMC8482558
OpenAlexW3204389374

What OpenQuestion holds

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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.