ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2018
Analyzing Real-World Use of Research Common Data Elements.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled 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.
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.
Who cites it
23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 21 citations in OpenAlex.
- Reporting practices of baseline and surgical variables in spinal cavernous malformation surgery: a systematic review.Neurosurgical review · 2026Pooled it
- Reported baseline variables in transsphenoidal surgery for pituitary adenoma over a 30 year period: a systematic review.Pituitary · 2023Pooled it
- Evaluation of Research Accessibility and Data Elements of HIV Registries.Current HIV research · 2019Pooled it
- Adopting common data elements (CDEs) for the National Trauma Research Repository (NTRR): the results of a social determinants of health Delphi survey.Trauma surgery & acute care open · 2026Article
- Adopting common data elements (CDEs) for the National Trauma Research Repository (NTRR): the results of an epidemiology Delphi survey.Trauma surgery & acute care open · 2026Article
- Advancing research on strategies to reduce drug use and overdose-related harms: a community informed approach to establishing common data elements.Harm reduction journal · 2025Article
- A Cloud-Based Platform for Harmonized COVID-19 Data: Design and Implementation of the Rapid Acceleration of Diagnostics (RADx) Data Hub.JMIR public health and surveillance · 2025Article
- A CDE-based data structure for radiotherapeutic decision-making in breast cancer.BMC medical informatics and decision making · 2025Article
- A community-engaged approach to developing common data elements: a case study from the RADx-UP Long COVID common data elements Task Force.JAMIA open · 2025Article
- Common data elements for food allergy clinical trials: an overview.Current opinion in allergy and clinical immunology · 2025Review
- Informatics assessment of COVID-19 data collection: an analysis of UK Biobank questionnaire data.BMC medical informatics and decision making · 2024Article
- Development of a Uniform Apheresis Case Report Form for Standardized Collection of Apheresis Data.Journal of clinical apheresis · 2024Article
- Development and Verification of Time-Series Deep Learning for Drug-Induced Liver Injury Detection in Patients Taking Angiotensin II Receptor Blockers: A Multicenter Distributed Research Network Approach.Healthcare informatics research · 2023Article
- Common Data Element Collection in Underserved School Communities: Challenges and Recommendations.Pediatrics · 2023Article
- Learning important common data elements from shared study data: The All of Us program analysis.PloS one · 2023Article
- Standardizing, harmonizing, and protecting data collection to broaden the impact of COVID-19 research: the rapid acceleration of diagnostics-underserved populations (RADx-UP) initiative.Journal of the American Medical Informatics Association : JAMIA · 2022Review
- Harmonization and standardization of data for a pan-European cohort on SARS- CoV-2 pandemic.NPJ digital medicine · 2022Article
- Common Data Elements for Meaningful Stroke Documentation in Routine Care and Clinical Research: Retrospective Data Analysis.JMIR medical informatics · 2021Article
- Pragmatic MDR: a metadata repository with bottom-up standardization of medical metadata through reuse.BMC medical informatics and decision making · 2021Article
- Automated Identification of Common Disease-Specific Outcomes for Comparative Effectiveness Research Using ClinicalTrials.gov: Algorithm Development and Validation Study.JMIR medical informatics · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Common Data Elements (CDEs) are defined as "data elements that are common to multiple data sets across different studies" and provide structured, standardized definitions so that data may be collected and used across different datasets. CDE collections are traditionally developed prospectively by subject-matter and domain experts. However, there has been little systematic research and evidence to demonstrate how CDEs are used in real-world datasets and the subsequent impact on data discoverability. Our study builds upon previous mapping work to investigate the number of CDEs that could be identified using a varying level of commonness threshold in a real-world data repository, the Database of Phenotypes and Genotypes (dbGaP). In an analyzed collection of mapped variables from 426 dbGaP studies, only 1,414 PhenX variables (PHENotypes and eXposures; a CDE initiative) are observed out of all 24,938 defined PhenX variables. Results include CDEs that are identified with varying levels of commonness thresholds. After the semantic grouping of 68 PhenX variables collected in at least 15 studies (n=15), we observed 32 truly "common" common data elements. We discuss benefits of post-hoc mapping of study data to a CDE framework for purposes of findability and reuse, as well as the informatics challenges of pre-populating clinical research case report forms with data from Electronic Health Record that are typically coded in terminologies aimed at routine healthcare needs.
Indexed as
Identifiers
30815101PMC6371255W2941164151What OpenQuestion holds
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.