Evidence map›Paper›PMID 35757077›Full record

ArticleIJID regions2022

Assessment of surveillance predictors for suspected respiratory syncytial virus, influenza and

Norosoa Harline Razanajatovo, Zo Zafitsara Andrianirina, Todisoa Andriatahina, Julia Guillebaud, Aina Harimanana, Elisoa Hariniaina Ratsima, Hervé Rakotoariniaina, Arnaud Orelle, Rila Ratovoson, Judickaelle Irinantenaina and 5 more

Open access · goldAbstract read
In one paragraph

Article in IJID regions, 2022. 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, top 75% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

15 authors at 3 institutions in 2 countries.

Norosoa Harline RazanajatovoNational Influenza Centre, Virology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar.
Zo Zafitsara AndrianirinaPaediatric Ward, Centre Hospitalier Soavinandriana, Antananarivo, Madagascar.
Todisoa AndriatahinaPaediatric Ward, Centre Hospitalier de District de Moramanga, Antananarivo, Madagascar.
Julia GuillebaudNational Influenza Centre, Virology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar.
Aina HarimananaEpidemiology and Clinical Research Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar.
Elisoa Hariniaina RatsimaClinical and Medical Laboratory, Institut Pasteur de Madagascar, Antananarivo, Madagascar.
Hervé RakotoariniainaPaediatric Ward, Centre Hospitalier Soavinandriana, Antananarivo, Madagascar.
Arnaud OrelleNational Influenza Centre, Virology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar.
Rila RatovosonEpidemiology and Clinical Research Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar.
Judickaelle IrinantenainaEpidemiology and Clinical Research Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar.
Dina Arinalina RakotonanaharyClinical and Medical Laboratory, Institut Pasteur de Madagascar, Antananarivo, Madagascar.
Lovasoa RamparanyClinical and Medical Laboratory, Institut Pasteur de Madagascar, Antananarivo, Madagascar.
Frédérique RandrianirinaClinical and Medical Laboratory, Institut Pasteur de Madagascar, Antananarivo, Madagascar.
Jean-Michel HeraudNational Influenza Centre, Virology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar.
Vincent RichardInternational Division, Institut Pasteur International Network, Institut Pasteur, Paris, France.
Institut Pasteur de Madagascar · MGUniversity of Antananarivo · MGInstitut Pasteur · FR

Funding

NCIRD CDC HHS U51 IP000327
6 · The paper itself

Abstract

Background: The lack of rapid, sensitive and affordable diagnostic tests that can distinguish a wide variety of respiratory pathogens at the point of care is an obstacle to the rapid implementation of control measures following events and epidemics. In addition, the absence of a standardized case definition to differentiate putative aetiologies is a challenge to assessing the burden of disease. This study aimed to identify the clinical spectrum of respiratory pathogens commonly associated with respiratory tract infections in the context of disease surveillance. Methods: Data obtained from prospective hospital-based severe acute respiratory infection surveillance among children aged <5 years from November 2010 to July 2013 were used in this study. Results: Intercostal recession and dyspnoea were predictive of respiratory Conclusions: Combined with other examinations, this study shows the value of including the syndromic approach in the panel of diagnostic criteria for rapid identification of the risk of infectious diseases in areas where laboratory diagnostics are challenging. Given the current situation with coronavirus disease 2019, this approach may help decision makers to implement appropriate control measures.

Indexed as

Acute respiratory infectionsChildrenMadagascarSyndromic approach

Identifiers

PMID35757077
PMCPMC9216384
OpenAlexW4200481022

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.