Evidence map›Paper›PMID 36106293›Full record

ArticleCureus2022

Serum Procalcitonin as a Predictive Biomarker in COVID-19: A Retrospective Cohort Analysis.

Aaiz Hussain, Lavi Singh, James McAlister Iii, Yongho Jo, Tadevos T Makaryan, Shaheer Hussain, Robert W Trenschel, Marc M Kesselman

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. 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
0.7field-weighted citation impact, top 30% 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, 7 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

8 authors at 3 institutions in 1 country.

Aaiz HussainCollege of Medicine, Nova Southeastern University, Dr. Kiran C. Patel College of Allopathic Medicine, Davie, USA.
Lavi SinghCollege of Medicine, Wayne State University, Detroit, USA.
James McAlister IiiCollege of Medicine, Nova Southeastern University, Dr. Kiran C. Patel College of Allopathic Medicine, Davie, USA.
Yongho JoCollege of Medicine, Nova Southeastern University, Dr. Kiran C. Patel College of Allopathic Medicine, Davie, USA.
Tadevos T MakaryanPublic Health, Nova Southeastern University, Dr. Kiran C. Patel College of Allopathic Medicine, Davie, USA.
Shaheer HussainCollege of Medicine, Chicago College of Osteopathic Medicine, Midwestern University, Downers Grove, USA.
Robert W TrenschelCollege of Medicine, Nova Southeastern University, Dr. Kiran C. Patel College of Allopathic Medicine, Davie, USA.
Marc M KesselmanRheumatology, Nova Southeastern University, Dr. Kiran C. Patel College of Osteopathic Medicine, Davie, USA.
Nova Southeastern University · USMidwestern University · USWayne State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSince the onset of COVID-19, physicians and scientists have been working to further understand biomarkers associated with the infection, so that patients who have contracted the virus can be treated. Although COVID-19 is a complex virus that affects patients differently, current research suggests that COVID-19 infections have been associated with increased procalcitonin, a biomarker traditionally indicative of bacterial infections. This paper aims to investigate the relationship between COVID-19 infection severity and procalcitonin levels in the hopes to aid the management of patients with COVID-19 infections.

methodsPatient data were obtained from the Renaissance School of Medicine at Stony Brook University. The data of the patients who had tested positive for COVID-19 and had an associated procalcitonin value (n=1046) was divided into age splits of 18-59, 59-74, and 74-90. Multiple factors were analyzed to determine the severity of each patient's infection. Patients were divided into low, medium, and high severity dependent on the patient's COVID-19 severity. A one-way analysis of variance (ANOVA) was done for each age split to compare procalcitonin values of the severity groups within the respective age split. Next, post hoc analysis was done for the severity groups in each age split to further compare the groups against each other.  Results: One-way ANOVA testing of the three age splits all had a resulting p<0.0001, displaying that the null hypothesis was rejected. In the post hoc analysis, however, the test failed to reject the null hypothesis when comparing the medium and high severity groups against each other in the 59-74 and 74-90 age splits. The null hypothesis was rejected in all pairwise comparisons in the 18-59 age split. We determined that a procalcitonin value of greater than 0.24 ng/mL would be characterized as a more severe COVID-19 infection when considering patient factors and comorbidities.  Conclusion: The analysis of the data concluded that elevated procalcitonin levels correlated with the severity of COVID-19 infections. This finding can be used to assist medical providers in the management of COVID-19 patients.

Indexed as

covid 19infectionprocalcitoninrespiratory viral infectserum biomarkers

Identifiers

PMID36106293
PMCPMC9452059
OpenAlexW4290767234

What OpenQuestion holds

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LicenceCC BY
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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.