Evidence map›Paper›PMID 35204599›Full record

ReviewDiagnostics (Basel, Switzerland)2022

Biomarkers during COVID-19: Mechanisms of Change and Implications for Patient Outcomes.

Cheng-Han Chen, Sheng-Wen Lin, Ching-Fen Shen, Kai-Sheng Hsieh, Chao-Min Cheng

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

24 citing papers in PubMed.

  1. Article
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  4. Review
  5. Observational
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  9. Review
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  15. Observational
  16. Observational
  17. Article
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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

5 authors.

Cheng-Han ChenInstitute of Biomedical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.ORCID 0000-0002-9542-525X
Sheng-Wen LinInstitute of Biomedical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.
Ching-Fen ShenDepartment of Pediatrics, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 70101, Taiwan.ORCID 0000-0001-5926-0462
Kai-Sheng HsiehDepartment of Pediatrics, Shuang Ho Hospital, Taipei Medical University, Taipei 23561, Taiwan.
Chao-Min ChengInstitute of Biomedical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.ORCID 0000-0002-8644-1960

Funding

Ministry of Science and Technology MOST 109-2222-E-075-001Ministry of Science and Technology MOST 110-2628-E-007-003National Tsing Hua University 110F7MBBE1Taiwan's Taipei Veteran General Hospital V111B-009
6 · The paper itself

Abstract

As the COVID-19 (Coronavirus disease 19) pandemic spreads worldwide, the massive numbers of COVID-19 patients have created a considerable healthcare burden for every country. The clinical spectrum of SARS-CoV-2 infection is broad, ranging from asymptomatic to mild, moderate, severe, and critical. Most COVID-19 patients present with no or mild symptoms, but nearly one-fifth of all patients develop severe or life-threatening complications. In addition to localized respiratory manifestations, severe COVID-19 cases also show extra-pulmonary complications or induce multiorgan failure. Identifying, triaging, and treating patients at risk early is essential and urgent. This article reviews the potential prognostic value of various biomarkers at different clinical spectrum stages of COVID-19 infection and includes information on fundamental prognostic mechanisms as well as potential clinical implications. Biomarkers are measurable biochemical substances used to recognize and indicate disease severity or response to therapeutic interventions. The information they provide is objective and suitable for delivering healthcare providers with a means of stratifying disease state in COVID-19 patients. This, in turn, can be used to help select and guide intervention efforts as well as gauge the efficacy of therapeutic approaches. Here, we review a number of potential biomarkers that may be used to guide treatment, monitor treatment efficacy, and form individualized therapeutic guidance based on patient response. Implementation of the COVID-19 biomarkers discussed here may lead to significantly improved quality of care and patient outcomes for those infected with SARS-CoV-2 worldwide.

Indexed as

biomarkerCOVID-19cytokine stormpoint-of-care testingSARS-CoV-2

Identifiers

PMID35204599
PMCPMC8870804

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.