Evidence map›Paper›PMID 28560177›Full record

ArticleIDCases2017

Dengue virus serotype 3 and Chikungunya virus co-infection in a traveller returning from India to Portugal, November 2016.

Catarina Oliveira Paulo, Líbia Zé-Zé, Sofia Jordão, Eduarda Ruiz Pena, Isabel Neves, Maria João Alves

Open access · goldAbstract readCase Reports
In one paragraph

Article in IDCases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

6 authors at 2 institutions in 1 country.

Catarina Oliveira PauloInfectious Diseases Unit, Hospital Pedro Hispano, Matosinhos Local Health Unit, Rua Dr. Eduardo Torres, 4464-513 Sra. da Hora, Matosinhos, Portugal.
Líbia Zé-ZéNational Institute of Health Dr. Ricardo Jorge, Centre for Vectors and Infectious Diseases Research, Av. da Liberdade 5, 2965-575 Águas de Moura, Portugal.
Sofia JordãoInfectious Diseases Unit, Hospital Pedro Hispano, Matosinhos Local Health Unit, Rua Dr. Eduardo Torres, 4464-513 Sra. da Hora, Matosinhos, Portugal.
Eduarda Ruiz PenaInfectious Diseases Unit, Hospital Pedro Hispano, Matosinhos Local Health Unit, Rua Dr. Eduardo Torres, 4464-513 Sra. da Hora, Matosinhos, Portugal.
Isabel NevesInfectious Diseases Unit, Hospital Pedro Hispano, Matosinhos Local Health Unit, Rua Dr. Eduardo Torres, 4464-513 Sra. da Hora, Matosinhos, Portugal.
Maria João AlvesNational Institute of Health Dr. Ricardo Jorge, Centre for Vectors and Infectious Diseases Research, Av. da Liberdade 5, 2965-575 Águas de Moura, Portugal.
Hospital Pedro Hispano · PTNational Institute of Health Dr. Ricardo Jorge · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report a case of a laboratory-confirmed Dengue and Chikungunya viruses co-infection imported from India to Portugal in early November 2016. The patient developed fever, retro-orbital pain and generalized myalgia after returning from Delhi, Jaipur, Agra, Rishikesh, Goa and Mumbai. This case highlights the importance of these arboviruses to public health in India where high rates of co-infection have been reported in the last few years, and demonstrates how challenging the laboratory diagnosis of imported co-infection cases can be in non-endemic areas.

Indexed as

ArbovirusesChikungunya virusCo-infectionDengue virus

Identifiers

PMID28560177
PMCPMC5447568
OpenAlexW2614379827

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.