Evidence map›Paper›PMID 33656139›Full record

SynthesisRevista do Instituto de Medicina Tropical de Sao Paulo2021

Biomarkers of severity and chronification in chikungunya fever: a systematic review and meta-analysis.

Andreia Silva Ferreira, Nayara Ragi Baldoni, Clareci Silva Cardoso, Claudia Di Lorenzo Oliveira

Open access · diamondAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Revista do Instituto de Medicina Tropical de Sao Paulo, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Acute myocardial infarction in a young patient with Chikungunya: a case report.Revista do Instituto de Medicina Tropical de Sao Paulo · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Synergism between chikungunya virus infection and rheumatoid arthritis on cytokine levels: Clinical implications?Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2023
    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

4 authors at 2 institutions in 1 country.

Andreia Silva FerreiraUniversidade Federal de São João Del-Rei, Campus Centro-Oeste Dona Lindu, Divinópolis, Minas Gerais, Brazil.ORCID http://orcid.org/0000-0001-6900-2555
Nayara Ragi BaldoniUniversidade Federal de São João Del-Rei, Campus Centro-Oeste Dona Lindu, Divinópolis, Minas Gerais, Brazil.ORCID http://orcid.org/0000-0002-3400-0725
Clareci Silva CardosoUniversidade Federal de São João Del-Rei, Campus Centro-Oeste Dona Lindu, Divinópolis, Minas Gerais, Brazil.ORCID http://orcid.org/0000-0003-0689-1644
Claudia Di Lorenzo OliveiraUniversidade Federal de São João Del-Rei, Campus Centro-Oeste Dona Lindu, Divinópolis, Minas Gerais, Brazil.ORCID http://orcid.org/0000-0001-8533-8155
Federal University of São João del-Rei · BRFederal University of São João del-Rei · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, there are no biomarkers for Chikungunya fever (CHIK) in clinical practice that can accurately predict the severity or chronification of the disease. The aim of this study is to evaluate the existing literature on biomarkers related to the severity and chronification of CHIK. In this sense, a systematic review was conducted based on the PRISMA Statement guideline. Articles that described the association of biomarkers with the evolution of the disease (severity or chronification), published until August 20th 2019 were considered eligible. The search was carried out in the PubMed, Scopus, Virtual Health Library (VHL) and Science Direct databases. After searching the databases, 17 articles were added to the review, and after analyzing the articles, several biomarkers were associated with severity, such as increased levels of IL-6, IP-10, IL-1b, MIG, MCP-1, and reduced levels of RANTES and IL-8 or chronification, such as increased levels of IL-6, TNF-α, MCP-1, IL-12, INF-α, IL-13, INF-γ, GM-CSF, CRP, IL-1a, IL-15, Factor VII, IP-10, IL-10, IL-4, IL-1RA, IL-8, MIP-1α, MIP-1β, ferritin, MIG, ESR, NO, malondialdehyde, and reduced levels of RANTES, ferritin, eotaxin, HGF, IL-27, IL-17A, IL-29, TGF-β, IL-10, and thiols. IL-6, CRP and TNF-α were included in the meta-analysis to assess the relationship with chronification, although they did not reach statistical significance. It was concluded that several biomarkers showed a relationship with severity and chronification of CHIK; the search for these biomarkers can reveal prognostic factors and important therapeutic targets for the treatment of the disease.

Indexed as

BiomarkersChikungunya FeverCytokinesHumansInterleukinsSeverity of Illness IndexBiomarkersCytokinesInterleukins

Identifiers

PMID33656139
PMCPMC7924982
OpenAlexW3135641588

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.