Evidence map›Paper›PMID 26969654›Full record

ArticleBMC public health2016

First nationwide web-based surveillance system for influenza-like illness in pregnant women: participation and representativeness of the French G-GrippeNet cohort.

Paul Loubet, Caroline Guerrisi, Clément Turbelin, Béatrice Blondel, Odile Launay, Marc Bardou, Thierry Blanchon, Isabelle Bonmarin, François Goffinet, Pierre-Yves Ancel and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
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  6. Review
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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 7 institutions in 1 country.

Paul LoubetSorbonne Universités, UPMC Univ Paris 06, INSERM, Institut Pierre Louis d'épidémiologie et de Santé Publique (IPLESP UMRS 1136), F75012, Paris, France.
Caroline GuerrisiSorbonne Universités, UPMC Univ Paris 06, INSERM, Institut Pierre Louis d'épidémiologie et de Santé Publique (IPLESP UMRS 1136), F75012, Paris, France.
Clément TurbelinSorbonne Universités, UPMC Univ Paris 06, INSERM, Institut Pierre Louis d'épidémiologie et de Santé Publique (IPLESP UMRS 1136), F75012, Paris, France.
Béatrice BlondelINSERM U 1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (EPOPé), Center for Epidemiology and Statistics Sorbonne Paris Cité, DHU Risks in pregnancy, Paris Descartes University, Paris, France.
Odile LaunayDepartment of Infectious diseases, CIC Cochin-Pasteur, Cochin Broca Hôtel-Dieu hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France.
Marc BardouClinical Investigation Center (CIC) INSERM 1432, Gynecology and Obstetrics CIC Network (GO-CIC) & Hepato-gastroenterology department, Dijon Hospital, Dijon, France.
Thierry BlanchonSorbonne Universités, UPMC Univ Paris 06, INSERM, Institut Pierre Louis d'épidémiologie et de Santé Publique (IPLESP UMRS 1136), F75012, Paris, France.
Isabelle BonmarinDepartment of Infectious Diseases, Institut de Veille Sanitaire (InVS), St Maurice, France.
François GoffinetINSERM U 1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (EPOPé), Center for Epidemiology and Statistics Sorbonne Paris Cité, DHU Risks in pregnancy, Paris Descartes University, Paris, France.
Pierre-Yves AncelINSERM U 1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (EPOPé), Center for Epidemiology and Statistics Sorbonne Paris Cité, DHU Risks in pregnancy, Paris Descartes University, Paris, France.
Vittoria ColizzaSorbonne Universités, UPMC Univ Paris 06, INSERM, Institut Pierre Louis d'épidémiologie et de Santé Publique (IPLESP UMRS 1136), F75012, Paris, France.
Thomas HanslikSorbonne Universités, UPMC Univ Paris 06, INSERM, Institut Pierre Louis d'épidémiologie et de Santé Publique (IPLESP UMRS 1136), F75012, Paris, France.
Solen KernéisDepartment of Infectious diseases, CIC Cochin-Pasteur, Cochin Broca Hôtel-Dieu hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France. solen.kerneis@aphp.fr.
Inserm · FRUniversité Paris Cité · FRCentre de Recherche Épidémiologie et StatistiqueGroupe Hospitalier Cochin - Port-Royal, Hôtel-Dieu, Broca - La Collégiale · FRInstitut de Veille Sanitaire · FRInstitut Pierre Louis d‘Épidémiologie et de Santé Publique · FRSorbonne Paris Cité · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPregnancy is a risk factor for severe influenza resulting in increased risks of hospitalisation and death in mothers and their new-borns. Our objective was to assess the representativeness and participation of French women to a new web-based collaborative tool for data collection and monitoring of Influenza Like Illness (ILI) during pregnancy.

methodsDuring the 2014/2015 influenza season, pregnant women living in metropolitan France were enrolled through a web platform ( https://www.grippenet.fr/). Then throughout the season, participants were asked to report, on a weekly basis, if they had experienced symptoms of ILI. Representativeness was assessed by comparing the characteristics of participants to those of the French National Perinatal Survey. For each participant, the participation rate was the number of weekly questionnaires completed, divided by the length of follow-up (in weeks). Predictors of active participation (participation rate >15%) were assessed by multivariate logistic regression.

resultsA total of 153 women were enrolled. Participants were older (mean age 34 years vs. 29 years) and more highly educated (high school level 89% versus 52%) than the general population of pregnant women in France, but the sample did not differ on pregnancy-related characteristics (parity, history of hospitalisation during a previous pregnancy). The median rate of participation was high (78%, interquartile range: 34-96). Higher educational level and participation to a previous GrippeNet.fr season were associated with active participation.

conclusionDespite small sample size and lack of representativeness, the retention rate was high, suggesting that pregnant women are prone to adhere to a longitudinal follow-up of their health status via the Internet.

Indexed as

InternetAdultFemaleFranceHealth StatusHealth SurveysHumansInfluenza, HumanLanguagePregnancyPublic Health SurveillanceRisk FactorsSeasonsSocioeconomic FactorsYoung AdultIncidenceInfluenzaPregnancySurveillanceWeb-based study

Identifiers

PMID26969654
PMCPMC4788930
OpenAlexW2293168402

What OpenQuestion holds

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LicenceCC BY
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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.