Evidence map›Paper›PMID 34129599›Full record

ArticlePLoS neglected tropical diseases2021

Correlation between reported dengue illness history and seropositivity in rural Thailand.

Darunee Buddhari, Kathryn B Anderson, Gregory D Gromowski, Richard G Jarman, Sopon Iamsirithaworn, Butsaya Thaisomboonsuk, Taweewun Hunsawong, Anon Srikiatkhachorn, Alan L Rothman, Anthony R Jones and 3 more

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 30% 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

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

  1. Pooled it
  2. Article
  3. 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

13 authors at 5 institutions in 2 countries.

Darunee BuddhariDepartment of Virology, USAMD-AFRIMS, Bangkok, Thailand.ORCID 0000-0001-7984-1707
Kathryn B AndersonDepartment of Virology, USAMD-AFRIMS, Bangkok, Thailand.ORCID 0000-0002-5725-2351
Gregory D GromowskiWalter Reed Army Institute of Research, Silver Spring, Maryland, United States.
Richard G JarmanWalter Reed Army Institute of Research, Silver Spring, Maryland, United States.
Sopon IamsirithawornMinistry of Public Health, Nonthaburi, Thailand.
Butsaya ThaisomboonsukDepartment of Virology, USAMD-AFRIMS, Bangkok, Thailand.
Taweewun HunsawongDepartment of Virology, USAMD-AFRIMS, Bangkok, Thailand.
Anon SrikiatkhachornUniversity of Rhode Island, Providence, Rhode Island, United States of America.
Alan L RothmanUniversity of Rhode Island, Providence, Rhode Island, United States of America.ORCID 0000-0002-4064-6848
Anthony R JonesDepartment of Virology, USAMD-AFRIMS, Bangkok, Thailand.
Stefan FernandezDepartment of Virology, USAMD-AFRIMS, Bangkok, Thailand.
Stephen J ThomasState University of New York Upstate Medical University, Syracuse, New York, United States of America.ORCID 0000-0002-8368-7682
Timothy P EndyState University of New York Upstate Medical University, Syracuse, New York, United States of America.
Armed Forces Research Institute of Medical Science · THSUNY Upstate Medical University · USUniversity of Rhode Island · USWalter Reed Army Institute of Research · USMinistry of Public Health · TH

Funding

VIRAL DETERMINANTS OF SEVERE DENGUE DISEASEP01AI034533 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI ROTHMAN, ALAN L · 1994 to 2022
$42.0M
NIAID NIH HHS P01 AI034533
6 · The paper itself

Abstract

In the latest World Health Organization (WHO) recommendation for Dengvaxia implementation, either serological testing or a person's history of prior dengue illness may be used as supporting evidence to identify dengue virus (DENV)-immune individuals eligible for vaccination, in areas with limited capacity for laboratory confirmation. This analysis aimed to estimate the concordance between self-reported dengue illness histories and seropositivity in a prospective cohort study for dengue virus infection in Kamphaeng Phet province, a dengue-endemic area in northern Thailand. The study enrolled 2,076 subjects from 516 multigenerational families, with a median age of 30.6 years (range 0-90 years). Individual and family member dengue illness histories were obtained by questionnaire. Seropositivity was defined based on hemagglutination inhibition (HAI) assays. Overall seropositivity for DENV was 86.5% among those aged 9-45 years, which increased with age. 18.5% of participants reported a history of dengue illness prior to enrollment; 30.1% reported a previous DENV infection in the family, and 40.1% reported DENV infection in either themselves or a family member. Relative to seropositivity by HAI in the vaccine candidate group, the sensitivity and specificity of individual prior dengue illness history were 18.5% and 81.6%, respectively; sensitivity and specificity of reported dengue illness in a family member were 29.8% and 68.0%, and of either the individual or a family member were 40.1% and 60.5%. Notably, 13.4% of individuals reporting prior dengue illness were seronegative. Given the high occurrence of asymptomatic and mild DENV infection, self-reported dengue illness history is poorly sensitive for prior exposure and may misclassify individuals as 'exposed' when they were not. This analysis highlights that a simple, highly sensitive, and highly specific test for determining serostatus prior to Dengvaxia vaccination is urgently needed.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolDengueFemaleHumansInfantMaleMiddle AgedRural PopulationSerologic TestsThailandYoung Adult

Identifiers

PMID34129599
PMCPMC8232416
OpenAlexW3167778995

What OpenQuestion holds

Textmetadata
LicenceCC0
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.