Evidence map›Paper›PMID 36050327›Full record

ArticleScientific data2022

Identifying Datasets for Cross-Study Analysis in dbGaP using PhenX.

Huaqin Pan, Vesselina Bakalov, Lisa Cox, Michelle L Engle, Stephen W Erickson, Michael Feolo, Yuelong Guo, Wayne Huggins, Stephen Hwang, Masato Kimura and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

17 authors.

Huaqin PanRTI International, Research Triangle Park, NC, USA. hpan@rti.org.ORCID 0000-0002-7166-108X
Vesselina BakalovRTI International, Research Triangle Park, NC, USA.
Lisa CoxRTI International, Research Triangle Park, NC, USA.
Michelle L EngleRTI International, Research Triangle Park, NC, USA.ORCID 0000-0002-4931-8541
Stephen W EricksonRTI International, Research Triangle Park, NC, USA.
Michael FeoloNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
Yuelong GuoGeneCentric Therapeutics Inc., Durham, NC, USA.
Wayne HugginsRTI International, Research Triangle Park, NC, USA.ORCID 0000-0002-1463-3883
Stephen HwangRTI International, Research Triangle Park, NC, USA.
Masato KimuraNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
Michelle KrzyzanowskiRTI International, Research Triangle Park, NC, USA.
Josh LevyLevy Informatics, Chapel Hill, NC, USA.
Michael PhillipsRTI International, Research Triangle Park, NC, USA.
Ying QinRTI International, Research Triangle Park, NC, USA.
David WilliamsRTI International, Research Triangle Park, NC, USA.
Erin M RamosNational Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
Carol M HamiltonRTI International, Research Triangle Park, NC, USA.

Funding

Genomic Resource Grant for the PhenX Toolkit - expansion and sustainabilityPhenX Supplement for COVID-19 ResearchU41HG007050 · NHGRI · RESEARCH TRIANGLE INSTITUTE · PI HAMILTON, CAROL MARIE · 2013 to 2022
$21.2M
NHGRI NIH HHS U41 HG007050U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) U41HG007050U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) U41HG007050U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) U41HG007050U.S. Department of Health & Human Services | NIH | National Institute on Drug Abuse (NIDA) U41HG007050U.S. Department of Health & Human Services | NIH | NIH Office of the Director (OD) U41HG007050U.S. Department of Health & Human Services | NIH | Office of Behavioral and Social Sciences Research (OBSSR) U41HG007050U.S. Department of Health & Human Services | NIH | U.S. National Library of Medicine (NLM) Intramural Research Program
6 · The paper itself

Abstract

Identifying relevant studies and harmonizing datasets are major hurdles for data reuse. Common Data Elements (CDEs) can help identify comparable study datasets and reduce the burden of retrospective data harmonization, but they have not been required, historically. The collaborative team at PhenX and dbGaP developed an approach to use PhenX variables as a set of CDEs to link phenotypic data and identify comparable studies in dbGaP. Variables were identified as either comparable or related, based on the data collection mode used to harmonize data across mapped datasets. We further added a CDE data field in the dbGaP data submission packet to indicate use of PhenX and annotate linkages in the future. Some 13,653 dbGaP variables from 521 studies were linked through PhenX variable mapping. These variable linkages have been made accessible for browsing and searching in the repository through dbGaP CDE-faceted search filter and the PhenX variable search tool. New features in dbGaP and PhenX enable investigators to identify variable linkages among dbGaP studies and reveal opportunities for cross-study analysis.

Indexed as

Data CollectionDatasets as TopicRetrospective Studies

Identifiers

PMID36050327
PMCPMC9434066

What Socratic 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 Socratic graph.