Evidence map›Paper›PMID 21749975›Full record

ArticleAmerican journal of epidemiology2011

Invited commentary: consolidating data harmonization--how to obtain quality and applicability?

Isabel Fortier, Dany Doiron, Paul Burton, Parminder Raina

Registry-linked trialAbstract readComment
PubMed Publisher
In one paragraph

Article in American journal of epidemiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03279991 (Neuromed- Integrated Health Life Platform and Biobank), which is not on this map. Cited by 55 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 4 pooled it
–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.

NCT03279991 completednot on this mapstarted 2019, after this paper: background citation

Neuromed- Integrated Health Life Platform and Biobank

TypeobservationalSponsorNeuromed IRCCSRan2019 to 2023Enrolled4,000ConditionsCardiovascular Diseases, Neuro-Degenerative Disease, Cancer, Pregnancy
3 · Its place in the literature

Who cites it

55 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  12. Harmonization and integration of data from prospective cohort studies across the Region of the Americas.Revista panamericana de salud publica = Pan American journal of public health · 2025
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  20. Unified and pluralistic ideals for data sharing and reuse in biodiversity.Database : the journal of biological databases and curation · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Isabel FortierPublic Population Project in Genomics, Montreal, Quebec, Canada. ifortier@p3g.org
Dany Doiron
Paul Burton
Parminder Raina

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is recognized that very large sample sizes capable of providing adequate statistical power are required to properly investigate and understand the role and interaction of genetic, lifestyle, and environmental factors in modulating the risk and progression of chronic diseases. However, very few one-off studies provide access to very large numbers of participants, and the collection of high-quality data necessitates a major investment of resources. The scientific community is thus increasingly engaged in collaborative efforts to facilitate harmonization and synthesis of data across studies. Complementary harmonization approaches may be adopted to support these efforts. In the current issue of the American Journal of Epidemiology, Hamilton et al. (Am J Epidemiol. 2011;174(3):253-260) present the consensus measures for Phenotypes and eXposures (PhenX) Toolkit, which promotes the use of identical data collection tools and procedures to support harmonization across emerging studies. Data synthesis is greatly facilitated by the use of common measures and procedures. However, the "stringent" criteria required by PhenX can limit its utilization. The opportunity to make use of rigorous but more "flexible" harmonization approaches should also be considered.

Indexed as

Information DisseminationGenomicsHumansPhenotypeReference Standards

Identifiers

PMID21749975

What OpenQuestion holds

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Registered trials

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.