Evidence map›Paper›PMID 39868356›Full record

ArticleFrontiers in epidemiology2024

Impact of molecular diagnostic techniques on the acute respiratory infection sentinel surveillance program, Antioquia, Colombia, 2022.

María Angélica Maya, Celeny Ortiz, Francisco Averhoff, Mabel Carabali, Laura S Pérez-Restrepo, Karl Ciuoderis-Aponte, Ana Isabel Davila, Diego Bastidas, Seti Buitrago, Gavin A Cloherty and 5 more

Abstract read
In one paragraph

Article in Frontiers in epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

15 authors.

María Angélica MayaGHI One Health Colombia, Universidad Nacional de Colombia, Medellín, Colombia.
Celeny OrtizDepartmental Health Secretariat of Antioquia, Medellín, Colombia.
Francisco AverhoffInfectious Diseases Research, Abbott Diagnostics, Abbott Park, IL, United States.
Mabel CarabaliDepartment of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, QC, Canada.
Laura S Pérez-RestrepoGHI One Health Colombia, Universidad Nacional de Colombia, Medellín, Colombia.
Karl Ciuoderis-AponteGHI One Health Colombia, Universidad Nacional de Colombia, Medellín, Colombia.
Ana Isabel DavilaControl and Prevention Infection, San Vicente Fundacion Hospital, Medellín, Colombia.
Diego BastidasPediatrics, San Vicente Fundacion Hospital, Medellín, Colombia.
Seti BuitragoVirology and Molecular, Public Health Laboratory of Antioquia, Medellín, Colombia.
Gavin A ClohertyInfectious Diseases Research, Abbott Diagnostics, Abbott Park, IL, United States.
Michael G BergInfectious Diseases Research, Abbott Diagnostics, Abbott Park, IL, United States.
Alan LandyDepartment of Medicine and Department of Immunology Microbiology, University of Texas Medical Branch, Galveston, TX, United States.
Juan P Hernandez-OrtizGHI One Health Colombia, Universidad Nacional de Colombia, Medellín, Colombia.
Paulina A RebolledoDivision of Infectious Diseases, Department of Medicine and Global Health, Emory University School of Medicine and Rollins School of Public Health, Atlanta, GA, United States.
Jorge E OsorioGHI One Health Colombia, Universidad Nacional de Colombia, Medellín, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Surveillance of acute respiratory infection (ARI) informs vaccination, preventive, and management decisions. In many countries, immunofluorescence is the cornerstone for ARI surveillance. We aimed to determine the effect of adding multiplex polymerase chain reaction (mPCR) to conventional surveillance in ARI. Methods: Respiratory samples from patients with influenza-like illness (ILI) and severe acute respiratory infection (SARI) were tested by a conventional approach [direct immunofluorescence (DIF) and SARS-CoV-2 PCR, and a subset of samples underwent routine testing]. Negative specimens were tested by multiplex PCR (mPCR), and remain negative samples were sequenced. Descriptive, multivariable regression analyses were conducted. Results: Between March and June 2022, 299 patients were enrolled. Pathogens were detected in 43.8% of samples (131/299) tested by the conventional approach. Of the 168 negatives after the conventional approach, 157 (93.4%) were positive by mPCR, increasing the detection rate to 96.3% (288/299). With the conventional approach, the most frequent pathogen was respiratory syncytial virus (50.3%, 66/131), whereas with mPCR it was Conclusion: Adding mPCR to respiratory surveillance conventionally based on DIF significantly enhanced virus and bacteria detection. mPCR should be considered for routine ARI surveillance.

Indexed as

acute respiratory infectionepidemiologyimmunofluorescencemolecular methodsmultiplex polymerase chain reaction (mPCR)pathogens

Identifiers

PMID39868356
PMCPMC11757876

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Registered trials

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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.