Evidence map›Paper›PMID 34372513›Full record

ReviewViruses2021

Antivirals against the Chikungunya Virus.

Verena Battisti, Ernst Urban, Thierry Langer

Open access · goldAbstract readReview
In one paragraph

Review in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
–field-weighted citation impact, top 90% 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

44 citing papers in PubMed, 0 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Phenol and chromone compounds forPharmaceutical science advances · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Chikungunya clusters in the state of Bahia: influence of environmental and social factors.Revista da Sociedade Brasileira de Medicina Tropical · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  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

3 authors at 1 institution in 1 country.

Verena BattistiDepartment of Pharmaceutical Sciences, Pharmaceutical Chemistry Division, University of Vienna, A-1090 Vienna, Austria.ORCID 0000-0001-9794-366X
Ernst UrbanDepartment of Pharmaceutical Sciences, Pharmaceutical Chemistry Division, University of Vienna, A-1090 Vienna, Austria.
Thierry LangerDepartment of Pharmaceutical Sciences, Pharmaceutical Chemistry Division, University of Vienna, A-1090 Vienna, Austria.
University of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chikungunya virus (CHIKV) is a mosquito-transmitted alphavirus that has re-emerged in recent decades, causing large-scale epidemics in many parts of the world. CHIKV infection leads to a febrile disease known as chikungunya fever (CHIKF), which is characterised by severe joint pain and myalgia. As many patients develop a painful chronic stage and neither antiviral drugs nor vaccines are available, the development of a potent CHIKV inhibiting drug is crucial for CHIKF treatment. A comprehensive summary of current antiviral research and development of small-molecule inhibitor against CHIKV is presented in this review. We highlight different approaches used for the identification of such compounds and further discuss the identification and application of promising viral and host targets.

Indexed as

AnimalsAntiviral AgentsChikungunya FeverChikungunya virusComputer SimulationCulicidaeDisease Models, AnimalDrug DevelopmentHumansMiceVirus ReplicationAntiviral Agentsalphavirusantiviral drug developmentantiviral therapyChikungunya virusdirect-acting antiviralshost-directed antiviralsin silico screeningin vivo validation

Identifiers

PMID34372513
PMCPMC8310245
OpenAlexW3172606395

What OpenQuestion 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 OpenQuestion graph.