Evidence map›Paper›PMID 34963726›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2021

Presepsin as a Predictive Biomarker of Severity in COVID-19: A Systematic Review.

Sibtain Ahmed, Maheen Mansoor, Muhammad S Shaikh, Imran Siddiqui

Abstract read
In one paragraph

Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Role of Biomarkers and Its Trend to Predict the Outcome of COVID-19 Patients: A Retrospective Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2022
    Article
  4. Article
  5. COVID19 biomarkers: What did we learn from systematic reviews?Frontiers in cellular and infection microbiology · 2022
    Review
  6. Article
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.

Sibtain AhmedDepartment of Pathology and Laboratory Medicine, Aga Khan University, Karachi, Pakistan.ORCID https://orcid.org/0000-0003-0316-2622
Maheen MansoorDepartment of Medical College, Aga Khan University, Karachi, Pakistan.ORCID https://orcid.org/0000-0002-8926-9318
Muhammad S ShaikhDepartment of Pathology and Laboratory Medicine, Aga Khan University, Karachi, Pakistan.ORCID https://orcid.org/0000-0003-2938-7416
Imran SiddiquiDepartment of Pathology and Laboratory Medicine, Aga Khan University, Karachi, Pakistan.ORCID https://orcid.org/0000-0001-6807-5429

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this review is to evaluate the global scientific literature on the utility of plasma presepsin (PSP) as a prognostic biomarker in a homogeneous group of coronavirus disease 2019 (COVID-19) positive cases. DATA RETRIEVAL: A systematic review utilizing Medline (PubMed interface), LitCovid NLM, World Health Organization (WHO)-global literature on coronavirus disease, and EBSCO CINAHL Plus was undertaken. The study was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) group guidelines. The quality of individual evidence and possible risk of bias were assessed using the Quality in Prognosis Studies (QUIPS) tool. A narrative synthesis-based conclusion was compiled.

resultsA total of three articles passed through the predefined screening criteria and were included in the review. Methodological quality was evaluated to be acceptable. The aggregate study population was summed up to be 167 COVID-19 positive cases, who had undergone analysis of plasma PSP levels for the prediction of severity and mortality. Based on different PSP cutoffs utilized, a statistically significant association between PSP and COVID-19 severity was reported.

conclusionPSP appears as a promising prognostic biomarker of COVID-19 progression. As data are scarce on its utility, large cross-sectional studies are needed. HOW TO CITE THIS ARTICLE: Ahmed S, Mansoor M, Shaikh MS, Siddiqui I. Presepsin as a Predictive Biomarker of Severity in COVID-19: A Systematic Review. Indian J Crit Care Med 2021;25(9):1051-1054.

Indexed as

COVID-19PresepsinPrognosisSevere COVIDSystematic review

Identifiers

PMID34963726
PMCPMC8664043

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.