Evidence map›Paper›PMID 36739224›Full record

ArticleTherapie

Contribution of real-life studies in France during the COVID-19 pandemic and for the national pharmaco-epidemiological surveillance of COVID-19 vaccines.

Mahmoud Zureik, François Cuenot, Alain Weill, Rosemary Dray-Spira

Open access · hybridAbstract read
In one paragraph

Article in Therapie. 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
0.6field-weighted citation impact, top 37% 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, 3 citations in OpenAlex.

  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

4 authors at 2 institutions in 1 country.

Mahmoud ZureikEPI-PHARE, Epidemiology of Health Products (French National Agency for Medicines and Health Products Safety, and French National Health Insurance), Saint-Denis cedex, France; University of Paris-Saclay, UVSQ, University Paris-Sud, Inserm, Anti-Infective Evasion and Pharmaco-epidemiology, CESP (Center for Research in Epidemiology and Population Health), 78180 Montigny le Bretonneux, France. Electronic address: Mahmoud.Zureik@ansm.sante.fr.
François CuenotEPI-PHARE, Epidemiology of Health Products (French National Agency for Medicines and Health Products Safety, and French National Health Insurance), Saint-Denis cedex, France.
Alain WeillEPI-PHARE, Epidemiology of Health Products (French National Agency for Medicines and Health Products Safety, and French National Health Insurance), Saint-Denis cedex, France.
Rosemary Dray-SpiraEPI-PHARE, Epidemiology of Health Products (French National Agency for Medicines and Health Products Safety, and French National Health Insurance), Saint-Denis cedex, France.
Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail · FRCentre de recherche en Epidémiologie et Santé des Populations · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the COVID-19 pandemic, EPI-PHARE, a scientific group in pharmaco-epidemiology created by the French National Agency for the Safety of Medicines and Health Products (ANSM) and the French National Health Insurance (Cnam), has reoriented its work program to enlighten health authorities in this health crisis. By exploiting massive and complex data of the French Health Data System (SNDS) from the beginning of the first lockdown in France in March 2020, we were able to publish numerous results on the use, benefits and risks of medicines, on the risk factors of COVID-19 before and after vaccination, and on the benefits and risks of COVID-19 vaccines. Our results were widely taken into account by the French health authorities and allowed them to take informed decision in this pandemic situation in order to ensure the health of the population.

Indexed as

COVID-19COVID-19 VaccinesFranceHumansPandemicsPharmacoepidemiologyPharmacovigilanceVaccinationCOVID-19 VaccinesAnti-COVID19 vaccineCOVID-19National Health Data System (SNDS)PharmacoepidemiologyPublic-decision

Identifiers

PMID36739224
PMCPMC9851737
OpenAlexW4317513373

What OpenQuestion holds

Textmetadata
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.