Evidence map›Paper›PMID 36590348›Full record

ArticleJournal of clinical and translational science2022

Development and implementation of the National Heart, Lung, and Blood Institute COVID-19 common data elements.

Alexandra Weissman, Alex Cheng, Alex Mainor, Elizabeth Gimbel, Kayla Nowak, Huaqin Helen Pan, Jeran Stratford, Alyssa Merkel, Caroline Taylor, Heather Meier and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical and translational science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Common data elements for food allergy clinical trials: an overview.Current opinion in allergy and clinical immunology · 2025
    Review
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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

14 authors at 3 institutions in 1 country.

Alexandra Weissman *Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.ORCID https://orcid.org/0000-0002-3350-899X
Alex Cheng *Vanderbilt University Medical Center. Nashville, TN, USA.ORCID https://orcid.org/0000-0002-1787-691X
Alex Mainor *Vanderbilt University Medical Center. Nashville, TN, USA.
Elizabeth GimbelDepartment of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Kayla NowakRTI International, Research Triangle Park, NC, USA.
Huaqin Helen PanRTI International, Research Triangle Park, NC, USA.
Jeran StratfordRTI International, Research Triangle Park, NC, USA.
Alyssa MerkelVanderbilt University Medical Center. Nashville, TN, USA.
Caroline TaylorVanderbilt University Medical Center. Nashville, TN, USA.
Heather MeierRTI International, Research Triangle Park, NC, USA.
Jeanette AumanRTI International, Research Triangle Park, NC, USA.
Tracy L NolenRTI International, Research Triangle Park, NC, USA.
Christopher J LindsellVanderbilt University Medical Center. Nashville, TN, USA.ORCID https://orcid.org/0000-0002-3297-2811
David T HuangDepartment of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
RTI International · USVanderbilt University Medical Center · USUniversity of Pittsburgh · US

Funding

ACTIV Integration of Host-targeting Therapies for COVID-19 Administrative Coordinating CenterOT2HL156812 · NHLBI · RESEARCH TRIANGLE INSTITUTE · PI NOLEN, TRACY L, THOMAS, SONIA M · 2020 to 2024
$1270.7M
Preventive and Early Treatment of Acute Lung Injury Clinical Trials Network- Pgh - SupplementU01HL123020 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ANGUS, DEREK C, YEALY, DONALD M · 2014 to 2020
$2.4M
NHLBI NIH HHS OT2 HL156812NHLBI NIH HHS U01 HL123020
6 · The paper itself

Abstract

Background: Coronavirus Disease 2019 (COVID-19) instigated a flurry of clinical research activity. The unprecedented pace with which trials were launched left an early void in data standardization, limiting the potential for subsequent data pooling. To facilitate data standardization across emerging studies, the National Heart, Lung, and Blood Institute (NHLBI) charged two groups with harmonizing data collection, and these groups collaborated to create a concise set of COVID-19 Common Data Elements (CDEs) for clinical research. Methods: Our iterative approach followed three guiding principles: 1) draw from existing multi-center COVID-19 clinical trials as precedents, 2) incorporate existing data elements and data standards whenever possible, and 3) alignment to data standards that facilitate data sharing and regulatory submission. We also supported rapid implementation of the CDEs in NHLBI-funded studies and iteratively refined the CDEs based on feedback from those study teams. Results: The NHLBI COVID-19 CDEs are publicly available and being used for current COVID-19 clinical trials. CDEs are organized into domains, and each data element is classified within a three-tiered prioritization system. The CDE manual is hosted publicly at https://nhlbi-connects.org/common_data_elements with an accompanying data dictionary and implementation guidance. Conclusions: The NHLBI COVID-19 CDEs are designed to aid data harmonization across studies to achieve the benefits of pooled analyses. We found that organizing CDE development around our three guiding principles focused our efforts and allowed us to adapt as COVID-19 knowledge advanced. As these CDEs continue to evolve, they could be generalized for use in other acute respiratory illnesses.

Indexed as

CDEclinical trialsCommon data elementCONNECTSCOVID-19FAIR

Identifiers

PMID36590348
PMCPMC9794959
OpenAlexW4297225411

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.