Evidence map›Paper›PMID 34537475›Full record

ArticleDiagnostic microbiology and infectious disease2021

Diagnosis of Dengue in a returning traveler from Pakistan suspected of COVID-19, California, USA.

Philip L Bulterys, Daniel Solis, Michelle Verghese, Chunhong Huang, Mamdouh Sibai, Cristina Costales, Malaya K Sahoo, Benjamin A Pinsky

Abstract readCase Reports
In one paragraph

Article in Diagnostic microbiology and infectious disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Review
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.

Philip L BulterysDepartment of Pathology, Stanford University, Stanford, CA, USA.
Daniel SolisDepartment of Pathology, Stanford University, Stanford, CA, USA; Clinical Virology Laboratory, Stanford University Medical Center, Stanford, CA, USA.
Michelle VergheseDepartment of Pathology, Stanford University, Stanford, CA, USA; Clinical Virology Laboratory, Stanford University Medical Center, Stanford, CA, USA.
Chunhong HuangDepartment of Pathology, Stanford University, Stanford, CA, USA; Clinical Virology Laboratory, Stanford University Medical Center, Stanford, CA, USA.
Mamdouh SibaiDepartment of Pathology, Stanford University, Stanford, CA, USA; Clinical Virology Laboratory, Stanford University Medical Center, Stanford, CA, USA.
Cristina CostalesDepartment of Pathology, Stanford University, Stanford, CA, USA.
Malaya K SahooDepartment of Pathology, Stanford University, Stanford, CA, USA; Clinical Virology Laboratory, Stanford University Medical Center, Stanford, CA, USA.
Benjamin A PinskyDepartment of Pathology, Stanford University, Stanford, CA, USA; Clinical Virology Laboratory, Stanford University Medical Center, Stanford, CA, USA; Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA. Electronic address: bpinsky@stanford.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue and COVID-19 cocirculation presents a diagnostic conundrum for physicians evaluating patients with acute febrile illnesses, both in endemic regions and among returning travelers. We present a case of a returning traveler from Pakistan who, following repeated negative SARS-CoV-2 tests, was found to have a Dengue virus serotype 2 infection.

Indexed as

SARS-CoV-2AdultCaliforniaCOVID-19DengueDengue VirusFemaleGenome, ViralHumansPakistanPhylogenyReverse Transcriptase Polymerase Chain ReactionSerogroupTravelCOVID-19Dengue feverDengue VirusReturning travelerSARS-CoV-2

Identifiers

PMID34537475
PMCPMC8342863

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.