Evidence map›Paper›PMID 34659766›Full record

ReviewSAGE open medicine2021

The role of C-reactive protein in predicting the severity of COVID-19 disease: A systematic review.

Getachew Yideg Yitbarek, Gashaw Walle Ayehu, Sintayehu Asnakew, Fanos Yeshanew Ayele, Moyeta Bariso Gare, Anemut Tilahun Mulu, Fentaw Teshome Dagnaw, Biruk Demissie Melesie

Abstract readReview
In one paragraph

Review in SAGE open medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

8 authors.

Getachew Yideg YitbarekDepartment of Biomedical Sciences, College of Health Science, Debre Tabor University, Debre Tabor, Ethiopia.ORCID https://orcid.org/0000-0001-9823-9981
Gashaw Walle AyehuDepartment of Biomedical Sciences, College of Health Science, Debre Tabor University, Debre Tabor, Ethiopia.
Sintayehu AsnakewDepartment of Psychiatry, College of Health Science, Debre Tabor University, Debre Tabor, Ethiopia.
Fanos Yeshanew AyeleDepartment of Public Health, College of Health Science, Wollo University, Dessie, Ethiopia.
Moyeta Bariso GareDepartment of Biomedical Science, College of Public Health and Medical Science, Jimma University, Jimma, Ethiopia.
Anemut Tilahun MuluDepartment of Biomedical Sciences, College of Health Science, Debre Tabor University, Debre Tabor, Ethiopia.
Fentaw Teshome DagnawDepartment of Public Health, College of Health Science, Debre Tabor University, Debre Tabor, Ethiopia.
Biruk Demissie MelesieDepartment of Public Health, College of Health Science, Debre Tabor University, Debre Tabor, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since December 2019, coronavirus diseases-2019 (COVID-19) dispersed into 200 countries and affected more than 70 million people. The clear picture of the SARS-CoV-2 infection is still under investigation. In this review, we evaluated whether C-reactive protein biomarker is able to predict the clinical outcomes or correlated with the severity of COVID-19 disease. The databases MEDLINE, Hinari, Google Scholar, and Google search were used to find potential studies published from COVID-19 epidemic until May 2021. A format prepared in Microsoft Excel spreadsheet was used to extract the appropriate details from each original report. For further review, the extracted data were exported to STATA/MP version 16.0 software. Keywords including "COVID-19," "SARS-CoV-2," and "C-reactive protein," among others were used to search relevant articles. Only studies which reported the average C-reactive protein value and COVID-19 disease stage outcomes were included. Twenty articles were included in the review. All studies found considerably higher level of C-reactive protein in patients with severe COVID-19 as compared to mildly infected patients. This review evidenced that it is still there for a given biomarker to early identify the state of progression in asymptomatic and/or mildly infected individuals into severe disease; the level of C-reactive protein may be used in predicting the likelihood of disease progression. Findings from this review showed level of C-reactive protein is a good biomarker to predict the severity of COVID-19 disease. Although COVID-19 researches are at the early stages, investigation of C-reactive protein levels throughout the disease course may have paramount importance for clinicians in early detection of severe manifestations and subsequently improve the prognosis. However, further large-scale studies are required to confirm these findings.

Indexed as

COVID-19C-reactive proteinseverity prediction systematic review

Identifiers

PMID34659766
PMCPMC8516378

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.