Evidence mapPaperPMID 39723295Full record

ArticleCureus2024

Soluble Urokinase Plasminogen Activator Receptor: A Useful Marker for Predicting Mortality in COVID-19 Patients.

Tushar Sehgal, Ambika Anand, Gowtham Vijayabupathy, Maroof Khan

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
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

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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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Tushar SehgalLaboratory Medicine, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Ambika AnandLaboratory Medicine, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Gowtham VijayabupathyLaboratory Medicine, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Maroof KhanBiostatistics, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Efficient and practical healthcare based on prognostic indicators can reduce morbidity and mortality in hospitalized COVID-19 patients. Soluble urokinase plasminogen activator receptor (suPAR) predicts clinical outcomes and respiratory failure in SARS-CoV-2 patients, but additional research is needed. Among other characteristics, we aimed to evaluate the predictive value of suPAR in COVID-19 patients. Methods This observational study was conducted at the All India Institute of Medical Sciences in New Delhi between January and April 2022. Patients within the age range from 18 to 85 years with mild, moderate, or severe COVID-19 infections were included in the study. Twenty-one patients (group 1) had positive RT-PCR throat and nasal swabs. Nine patients (group 2) with fever but without COVID-19 were recruited as controls. Ninety patient samples were tested for suPAR on days 1, 5, and 10 utilizing suPARnostic AUTO Flex ELISA kits (ViroGates, Denmark). Results The median age was 59 years in both groups. COVID-19 was mild in six patients (29%), moderate in seven patients (33%), and severe in eight patients (38%). At a median follow-up of 10 days, 8 out of 21 patients (38%) in group 1 died, while none in group 2 died. Patients' median suPAR levels were 4.35 ng/ml on day 1, 4.68 ng/ml on day 5, and 4.37 ng/ml on day 10. In the control group, suPAR levels were 1.6 ng/ml on day 1, 1.7 ng/ml on day 5, and 2.02 ng/ml on day 10. The suPAR levels were statistically significant on day 1 (p = 0.004), day 5 (p = 0.04), and day 10 (p = 0.007) between the patient and the control groups. Conclusion Patients who died had higher suPAR levels on days 1 (p = 0.007), 5 (p = 0.01), and 10 (p = 0.03) than survivors. The suPAR cut-off ≥ 3.64 (AUC = 0.82) predicts mortality with 88% sensitivity and 73% specificity.

Indexed as

biomarkercovid-19mortalityprognosissoluble urokinase plasminogen activator receptor

Identifiers

PMID39723295
PMCPMC11669473

What Socratic holds

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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 Socratic graph.