Evidence map›Paper›PMID 35836123›Full record

ArticleBMC primary care2022

The Sentiworld project: global mapping of sentinel surveillance networks in general practice.

Andrew Meci, Florence Du Breuil, Ana Vilcu, Thibaud Pitel, Caroline Guerrisi, Quentin Robard, Clément Turbelin, Thomas Hanslik, Louise Rossignol, Cécile Souty and 1 more

Abstract read
In one paragraph

Article in BMC primary care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Sentinel Networks for the Surveillance of Overweight and Obesity: A Scoping Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Article
  2. Article
  3. Article
  4. 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

11 authors.

Andrew MeciINSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, UMRS 1136, Sorbonne Université, F75012, Paris, France. andrew.meci@iplesp.upmc.fr.ORCID 0000-0001-9863-5810
Florence Du BreuilINSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, UMRS 1136, Sorbonne Université, F75012, Paris, France.
Ana VilcuINSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, UMRS 1136, Sorbonne Université, F75012, Paris, France.ORCID 0000-0002-8138-6552
Thibaud PitelINSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, UMRS 1136, Sorbonne Université, F75012, Paris, France.
Caroline GuerrisiINSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, UMRS 1136, Sorbonne Université, F75012, Paris, France.ORCID 0000-0002-2425-4457
Quentin RobardINSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, UMRS 1136, Sorbonne Université, F75012, Paris, France.
Clément TurbelinINSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, UMRS 1136, Sorbonne Université, F75012, Paris, France.ORCID 0000-0002-5074-9541
Thomas HanslikINSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, UMRS 1136, Sorbonne Université, F75012, Paris, France.ORCID 0000-0002-8670-7853
Louise RossignolINSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, UMRS 1136, Sorbonne Université, F75012, Paris, France.ORCID 0000-0002-0755-3826
Cécile SoutyINSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, UMRS 1136, Sorbonne Université, F75012, Paris, France.ORCID 0000-0002-4990-5201
Thierry BlanchonINSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, UMRS 1136, Sorbonne Université, F75012, Paris, France.ORCID 0000-0001-9623-3906

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSentinel networks composed of general practitioners (GPs) represent a powerful tool for epidemiologic surveillance and ad-hoc studies. Globalization necesitates greater international cooperation among sentinel networks. The aim of this study was to inventory GP sentinel networks involved in epidemiological surveillance on a global scale.

methodsGP sentinel surveillance networks were inventoried globally between July 2016 and December 2019. Each identified network was required to fill out an electronic descriptive survey for inclusion.

resultsA total of 148 networks were identified as potential surveillance networks in general practice and were contacted. Among them, 48 were included in the study. Geographically, 33 networks (68.8%) were located in Europe and 38 (79.2%) had national coverage. The number of GPs registered in these networks represented between 0.1 and 100% of the total number of GPs in the network's country or region, with a median of 2.5%. All networks were involved in continuous epidemiologic surveillance and 47 (97.9%) monitored influenza-like illness. Data collection methods were paper-based forms (n = 26, 55.3%), electronic forms on a dedicated website (n = 18, 38.3%), electronic forms on a dedicated software program (n = 14, 29.8%), and direct extraction from electronic medical records (n = 14, 29.8%). Along with this study, a website has been created to share all data collected.

conclusionsThis study represents the first global geographic mapping of GP sentinel surveillance networks. By sharing this information, collaboration between networks will be easier, which can strengthen the quality of international epidemiologic surveillance. In the face of crises like that of COVID-19, this is more imperative than ever before.

Indexed as

General PracticeGeneral PractitionersSentinel SurveillanceFamily PracticeHumansEpidemiologyFamily practiceGeneral practiceGlobal healthHealth status indicatorsSentinel surveillance

Identifiers

PMID35836123
PMCPMC9281158

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.