ArticleJournal of the American Medical Informatics Association : JAMIA2013
Identifying clinical/translational research cohorts: ascertainment via querying an integrated multi-source database.
Article in Journal of the American Medical Informatics Association : JAMIA, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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
20 citing papers in PubMed.
- Randomized Noninferiority Trial of Telephone Delivery of BRCA1/2 Genetic Counseling Compared With In-Person Counseling: 1-Year Follow-Up.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2016Trial
- Expanding access to BRCA1/2 genetic counseling with telephone delivery: a cluster randomized trial.Journal of the National Cancer Institute · 2014Trial
- Associations between Ambient Air Pollution and Cardiovascular and Respiratory Healthcare Visits in Adolescent and Young Adult Cancer Survivors.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026Article
- Air Pollution and Cardiovascular Risks in Testicular Cancer Survivors: An Exploratory Case-Crossover Study.Journal of adolescent and young adult oncology · 2026Article
- Risk of mortality in family members of men seeking fertility assessment.Fertility and sterility · 2025Article
- Describing patterns of familial cancer risk in subfertile men using population pedigree data.Human reproduction (Oxford, England) · 2024Article
- Environmental exposure to industrial air pollution is associated with decreased male fertility.Fertility and sterility · 2023Article
- HPV Vaccination Initiation and Completion Among Pediatric, Adolescent, and Young Adult Cancer Survivors and a Comparison Population Sample Receiving Primary Care.Journal of pediatric hematology/oncology · 2023Article
- Design and validation of a FHIR-based EHR-driven phenotyping toolbox.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Missed opportunities for concomitant HPV vaccination among childhood cancer survivors.Cancer medicine · 2022Article
- ACE: the Advanced Cohort Engine for searching longitudinal patient records.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- An investigation of survivorship clinic attendance among childhood cancer survivors living in a five-state rural region.Journal of cancer survivorship : research and practice · 2018Article
- A survey of practices for the use of electronic health records to support research recruitment.Journal of clinical and translational science · 2017Article
- Risk of hospitalization among survivors of childhood and adolescent acute lymphoblastic leukemia compared to siblings and a general population sample.Cancer epidemiology · 2017Article
- Facilitating biomedical researchers' interrogation of electronic health record data: Ideas from outside of biomedical informatics.Journal of biomedical informatics · 2016Review
- Review and evaluation of electronic health records-driven phenotype algorithm authoring tools for clinical and translational research.Journal of the American Medical Informatics Association : JAMIA · 2015Review
- Real-Time Enrollment Dashboard For Multisite Clinical Trials.Contemporary clinical trials communications · 2015Article
- Modular design, application architecture, and usage of a self-service model for enterprise data delivery: the Duke Enterprise Data Unified Content Explorer (DEDUCE).Journal of biomedical informatics · 2014Article
- Electronic health records-driven phenotyping: challenges, recent advances, and perspectives.Journal of the American Medical Informatics Association : JAMIA · 2013Article
- Improving sensitivity of machine learning methods for automated case identification from free-text electronic medical records.BMC medical informatics and decision making · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
backgroundAscertainment of potential subjects has been a longstanding problem in clinical research. Various methods have been proposed, including using data in electronic health records. However, these methods typically suffer from scaling effects-some methods work well for large cohorts; others work for small cohorts only.
objectiveWe propose a method that provides a simple identification of pre-research cohorts and relies on data available in most states in the USA: merged public health data sources. MATERIALS AND
methodsThe Utah Population Database Limited query tool allows users to build complex queries that may span several types of health records, such as cancer registries, inpatient hospital discharges, and death certificates; in addition, these can be combined with family history information. The architectural approach incorporates several coding systems for medical information. It provides a front-end graphical user interface and enables researchers to build and run queries and view aggregate results. Multiple strategies have been incorporated to maintain confidentiality.
resultsThis tool was rapidly adopted; since its release, 241 users representing a wide range of disciplines from 17 institutions have signed the user agreement and used the query tool. Three examples are discussed: pregnancy complications co-occurring with cardiovascular disease; spondyloarthritis; and breast cancer. DISCUSSION AND
conclusionsThis query tool was designed to provide results as pre-research so that institutional review board approval would not be required. This architecture uses well-described technologies that should be within the reach of most institutions.
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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.