Evidence map›Paper›PMID 35095356›Full record

ReviewInternational journal of peptide research and therapeutics2022

Role of Polypeptide Inflammatory Biomarkers in the Diagnosis and Monitoring of COVID-19.

Aparajita Sen, Arti Nigam, Meenakshi Vachher

Abstract readReview
In one paragraph

Review in International journal of peptide research and therapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. COVID Diagnostics: From Molecules to Omics.Advances in experimental medicine and biology · 2023
    Review
  7. Article
  8. 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

3 authors.

Aparajita SenDepartment of Genetics, University of Delhi South Campus, New Delhi, 110021 India.
Arti NigamDepartment of Microbiology, Institute of Home Economics, University of Delhi, New Delhi, 110016 India.
Meenakshi VachherDepartment of Biochemistry, Institute of Home Economics, University of Delhi, F-4 Hauz Khas Enclave, New Delhi, 110016 India.ORCID 0000-0003-4039-1985

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 (coronavirus disease 2019) pandemic that took over the world in December 2019 has had everlasting devastating impacts on the lives of people globally. It manifests a huge symptom spectrum ranging from asymptomatic to critically ill patients with an unpredictable outcome. Timely diagnosis and assessment of disease severity is imperative for effective treatment. Possibilities exist that by the time symptoms appear the viral load might increase beyond control. However, it is advisable to get adequately diagnosed as soon as the first symptom appears. There is an immediate requirement of reliable biomarkers of COVID-19 manifesting an early onset for effective clinical management, stratification of high risk patients and ensuring ideal resource allocation. In this review, we attempt to explore and describe important polypeptide inflammatory biomarkers, namely C-reactive protein, Procalcitonin, Ferritin, Lactate Dehydrogenase, Serum amyloid A, Interleukin-6, Tumor necrosis factor-alpha and LIGHT used in the detection and management of COVID-19. Viral pathogenesis and the role of these inflammatory biomarkers is highlighted, based on the evidences available till date. An integrative data monitoring along with their correlation with the natural disease progression is of utmost importance in the management of COVID-19. So further research and in-depth analysis of these biomarkers is warranted in the present scenario.

Indexed as

COVID-19C- reactive proteinFerritinInflammationInterleukin-6Lactate dehydrogenaseLIGHTProcalcitoninProtein biomarkersSerum amyloid ATNF-α

Identifiers

PMID35095356
PMCPMC8785374

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.