Evidence map›Paper›PMID 37041550›Full record

ArticleBMC public health2023

Etiology of acute febrile illness in the peruvian amazon as determined by modular formatted quantitative PCR: a protocol for RIVERA, a health facility-based case-control study.

Pablo Peñataro Yori, Maribel Paredes Olórtegui, Francesca Schiaffino, Josh M Colston, Tackeshy Pinedo Vasquez, Paul F Garcia Bardales, Valentino Shapiama Lopez, Loyda Fiorella Zegarra Paredes, Karin Perez, Greisi Curico and 16 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 19% 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, 5 citations in OpenAlex.

  1. Article
  2. Article
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  4. The Enterics for Global Health (EFGH)Open forum infectious diseases · 2024
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

26 authors at 9 institutions in 3 countries.

Pablo Peñataro YoriDivision of Infectious Disease and International Health, School of Medicine, University of Virginia, Charlottesville, VA, USA.
Maribel Paredes OlórteguiAsociación Benefica PRISMA, Iquitos, Loreto, Peru.
Francesca SchiaffinoDivision of Infectious Disease and International Health, School of Medicine, University of Virginia, Charlottesville, VA, USA.
Josh M ColstonDivision of Infectious Disease and International Health, School of Medicine, University of Virginia, Charlottesville, VA, USA.
Tackeshy Pinedo VasquezAsociación Benefica PRISMA, Iquitos, Loreto, Peru.
Paul F Garcia BardalesAsociación Benefica PRISMA, Iquitos, Loreto, Peru.
Valentino Shapiama LopezAsociación Benefica PRISMA, Iquitos, Loreto, Peru.
Loyda Fiorella Zegarra ParedesAsociación Benefica PRISMA, Iquitos, Loreto, Peru.
Karin PerezAsociación Benefica PRISMA, Iquitos, Loreto, Peru.
Greisi CuricoAsociación Benefica PRISMA, Iquitos, Loreto, Peru.
Thomas FlynnDivision of Infectious Disease and International Health, School of Medicine, University of Virginia, Charlottesville, VA, USA.
Jixian ZhangDivision of Infectious Disease and International Health, School of Medicine, University of Virginia, Charlottesville, VA, USA.
Cesar Ramal AsayagUniversidad Nacional de La Amazonia Peruana, Loreto, Peru.
Graciela Meza SanchezUniversidad Nacional de La Amazonia Peruana, Loreto, Peru.
Hermann Silva DelgadoUniversidad Nacional de La Amazonia Peruana, Loreto, Peru.
Martin Casapia MoralesUniversidad Nacional de La Amazonia Peruana, Loreto, Peru.
Wilma CasanovaUniversidad Nacional de La Amazonia Peruana, Loreto, Peru.
Bruce JiuLaboratorio de Referencia en Salud Publica de la Direccion Regional de Salud- Diresa, Loreto, Peru.
Richard OberhelmanTulane School of Public Health and Tropical Medicine, New Orleans, LA, USA.
Cesar Munayco EscateCentro Nacional de Epidemiologia, Prevencion, y Control de Enfermedades, Ministerio de Salud de Peru, Jesus Maria, Peru.
Rachel SilverCenters for Disease Control and Prevention, Atlanta, GA, USA.
Olga HenaoCenters for Disease Control and Prevention, Atlanta, GA, USA.
Kerry K CooperSchool of Animal and Comparative Biomedical Sciences, University of Arizona, Tucson, AZ, USA.
Jie LiuSchool of Public Health, Qingdao University, Qingdao, China.
Eric R HouptDivision of Infectious Disease and International Health, School of Medicine, University of Virginia, Charlottesville, VA, USA.
Margaret N KosekDivision of Infectious Disease and International Health, School of Medicine, University of Virginia, Charlottesville, VA, USA. mkosek@virginia.edu.
Prisma · PEUniversity of Virginia · USCenters for Disease Control and Prevention · USDirección Regional de Salud del Callao · PEUniversidad Nacional de la Amazonía Peruana · PEUniversidad Particular de Iquitos · PEQingdao University · CNTulane University · USUniversity of Arizona · US

Funding

Global Biothreats Training ProgramT32AI055432 · NIAID · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI CRISS, ALISON K, PETRI, WILLIAM A · 2003 to 2022
$4.0M
Enabling Infectious Disease Research Capacity in the Peruvian AmazonD43TW010913 · FIC · UNIVERSITY OF VIRGINIA · PI Margaret N Kosek, MARIBEL PAREDES OLORTEGUI · 2018 to 2026
$2.8M
ACL HHS U01GH002270CGH CDC HHS U01 GH002270FIC NIH HHS D43 TW010913NIAID NIH HHS T32 AI055432
6 · The paper itself

Abstract

backgroundThe study of the etiology of acute febrile illness (AFI) has historically been designed as a prevalence of pathogens detected from a case series. This strategy has an inherent unrealistic assumption that all pathogen detection allows for causal attribution, despite known asymptomatic carriage of the principal causes of acute febrile illness in most low- and middle-income countries (LMICs). We designed a semi-quantitative PCR in a modular format to detect bloodborne agents of acute febrile illness that encompassed common etiologies of AFI in the region, etiologies of recent epidemics, etiologies that require an immediate public health response and additional pathogens of unknown endemicity. We then designed a study that would delineate background levels of transmission in the community in the absence of symptoms to provide corrected estimates of attribution for the principal determinants of AFI.

methodsA case-control study of acute febrile illness in patients ten years or older seeking health care in Iquitos, Loreto, Peru, was planned. Upon enrollment, we will obtain blood, saliva, and mid-turbinate nasal swabs at enrollment with a follow-up visit on day 21-28 following enrollment to attain vital status and convalescent saliva and blood samples, as well as a questionnaire including clinical, socio-demographic, occupational, travel, and animal contact information for each participant. Whole blood samples are to be simultaneously tested for 32 pathogens using TaqMan array cards. Mid-turbinate samples will be tested for SARS-CoV-2, Influenza A and Influenza B. Conditional logistic regression models will be fitted treating case/control status as the outcome and with pathogen-specific sample positivity as predictors to attain estimates of attributable pathogen fractions for AFI. DISCUSSION: The modular PCR platforms will allow for reporting of all primary results of respiratory samples within 72 h and blood samples within one week, allowing for results to influence local medical practice and enable timely public health responses. The inclusion of controls will allow for a more accurate estimate of the importance of specific prevalent pathogens as a cause of acute illness. STUDY REGISTRATION: Project 1791, Registro de Proyectos de Investigación en Salud Pública (PRISA), Instituto Nacional de Salud, Perú.

Indexed as

COVID-19Influenza, HumanCase-Control StudiesCOVID-19 TestingFeverHealth FacilitiesHumansPeruPolymerase Chain ReactionSARS-CoV-2Active surveillanceAcute febrile illnessCase-controlLoretoPopulation attributable fractionTaqManWhole blood

Identifiers

PMID37041550
PMCPMC10088183
OpenAlexW4364379186

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.