Evidence map›Paper›PMID 31481759›Full record

ReviewNature reviews. Rheumatology2019

Rheumatic manifestations of chikungunya: emerging concepts and interventions.

Andreas Suhrbier

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Rheumatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
117citing papers in PubMed, 4 pooled it
18.9field-weighted citation impact, top 1% 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

117 citing papers in PubMed, 4 syntheses or guidelines pooled it, 202 citations in OpenAlex.

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57 more citing papers are in PubMed but not listed here.

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

1 author at 1 institution in 1 country.

Andreas SuhrbierInflammation Biology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia. Andreas.Suhrbier@qimrberghofer.edu.au.ORCID http://orcid.org/0000-0001-8986-9025
QIMR Berghofer Medical Research Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The largest epidemic ever recorded for chikungunya, a disease caused by infection with the chikungunya virus (CHIKV), began in Africa in 2004 and spread to >100 countries on four continents. The epidemic caused >10 million cases of often debilitating rheumatic disease, classically involving rapid onset of fever and polyarthralgia, often with polyarthritis. The clinical diagnosis of chikungunya is often complicated by infections with dengue or Zika virus. For many individuals with chikungunya, the disease is benign and self-limiting; however, some patients have a complex spectrum of atypical and severe manifestations. Many patients also experience a chronic phase of the disease, primarily involving arthralgia (which can be protracted (>1 year)), and a number of sequelae are also recognized. CHIKV-induced arthropathy arises from infection of multiple cell types in the joint and the infiltration of mainly mononuclear cells. Innate responses (primarily involving type I interferon responses and natural killer cells) and cognate responses (primarily involving CD4 T helper 1 cells), alongside activation of macrophages and monocytes, mediate CHIKV-induced arthritic immunopathology. Ideally, improved anti-inflammatory treatments should not compromise antiviral immunity. New concepts in mosquito control are being field tested and a number of CHIKV vaccines are being developed.

Indexed as

Immunity, CellularAnimalsAntibodies, ViralAntirheumatic AgentsAntiviral AgentsChikungunya FeverChikungunya virusHumansRheumatic DiseasesAntibodies, ViralAntirheumatic AgentsAntiviral Agents

Identifiers

PMID31481759
OpenAlexW2972013929

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.