Evidence map›Paper›PMID 33363097›Full record

ArticleFrontiers in public health2020

The CONSTANCES Cohort Biobank: An Open Tool for Research in Epidemiology and Prevention of Diseases.

J Henny, R Nadif, S Le Got, S Lemonnier, A Ozguler, F Ruiz, K Beaumont, D Brault, E Sandt, M Goldberg and 1 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Swiss Cohort & Biobank - The White Paper.Public health reviews · 2022
    Article
  13. Occupational Exposures to Organic Solvents and Asthma Symptoms in the CONSTANCES Cohort.International journal of environmental research and public health · 2021
    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.

J HennyInserm UMS 011, Population-based Epidemiological Cohorts, Villejuif, France.
R NadifUniversité Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm, Équipe d'Épidémiologie respiratoire intégrative, CESP, Villejuif, France.
S Le GotInserm UMS 011, Population-based Epidemiological Cohorts, Villejuif, France.
S LemonnierInserm UMS 011, Population-based Epidemiological Cohorts, Villejuif, France.
A OzgulerInserm UMS 011, Population-based Epidemiological Cohorts, Villejuif, France.
F RuizClinSearch, Malakoff, France.
K BeaumontLuxembourg Institute of Health, Luxembourg, Luxembourg.
D BraultLuxembourg Institute of Health, Luxembourg, Luxembourg.
E SandtIntegrated Biobank of Luxembourg (IBBL), Dudelange, Luxembourg.
M GoldbergInserm UMS 011, Population-based Epidemiological Cohorts, Villejuif, France.
M ZinsInserm UMS 011, Population-based Epidemiological Cohorts, Villejuif, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

"General-purpose cohorts" in epidemiology and public health are designed to cover a broad scope of determinants and outcomes, in order to answer several research questions, including those not defined at study inception. In this context, the general objective of the CONSTANCES project is to set up a large population-based cohort that will contribute to the development of epidemiological research by hosting ancillary projects on a wide range of scientific domains, and to provide public health information. CONSTANCES was designed as a randomly selected sample of French adults aged 18-69 years at study inception; 202,045 subjects were included over an 8-year period. At inclusion, the selected participants are invited to attend one of the 24 participating Health Prevention Centers (HPCs) for a comprehensive health examination. The follow-up includes a yearly self-administered questionnaire, and a periodic visit to an HPC. Procedures have been developed to use the national healthcare databases to allow identification and validation of diseases over the follow-up. The biological collection (serum, lithium heparinized plasma, EDTA plasma, urine and buffy coat) began gradually in June 2018. At the end of the inclusions, specimens from 83,000 donors will have been collected. Specimens are collected according to a standardized protocol, identical in all recruitment centers. All operations relating to bio-banking have been entrusted by Inserm to the Integrated Biobank of Luxembourg (IBBL). A quality management system has been put in place. Particular attention has been paid to the traceability of all operations. The nature of the biological samples stored has been deliberately limited due to the economic and organizational constraints of the inclusion centers. Some research works may require specific collection conditions, and can be developed on request for a limited number of subjects and in specially trained centers. The biological specimens that are collected will allow for a large spectrum of biomarkers studies and genetic and epigenetic markers through candidate or agnostic approaches. By linking the extensive data on personal, lifestyle, environmental, occupational and social factors with the biomarker data, the CONSTANCES cohort offers the opportunity to study the interplays between these factors using an integrative approach and state-of-the-art methods.

Indexed as

Biological Specimen BanksAdolescentAdultAgedCohort StudiesDatabases, FactualHumansLuxembourgMiddle AgedSurveys and QuestionnairesYoung Adultbiobanking methodologybiorepositoryblood samplesDNAlongitudinal studiesobservational studiespopulation-based cohorturine samples

Identifiers

PMID33363097
PMCPMC7758208

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.