ArticleStudies in health technology and informatics2015
Assessing the Collective Population Representativeness of Related Type 2 Diabetes Trials by Combining Public Data from ClinicalTrials.gov and NHANES.
Article in Studies in health technology and informatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 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
19 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Identification of tools used to assess the external validity of randomized controlled trials in reviews: a systematic review of measurement properties.BMC medical research methodology · 2022Pooled it
- Advancing Alzheimer's research: A review of big data promises.International journal of medical informatics · 2017Pooled it
- Article
- A comparative study of pre-trained language models for named entity recognition in clinical trial eligibility criteria from multiple corpora.BMC medical informatics and decision making · 2022Article
- Article
- Dietary Intake and Representativeness of a Diverse College-Attending Population Compared with an Age-Matched US Population.Nutrients · 2021Article
- The Real-World Observational Prospective Study of Health Outcomes with Dulaglutide and Liraglutide in Type 2 Diabetes Patients (TROPHIES): Design and Baseline Characteristics.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2021Article
- Reporting of demographic data and representativeness in machine learning models using electronic health records.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Assessing the Use and Perception of Dietary Supplements Among Obese Patients with National Health and Nutrition Examination Survey.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020Article
- Precision Dosing Priority Criteria: Drug, Disease, and Patient Population Variables.Frontiers in pharmacology · 2020Review
- An outcome model approach to transporting a randomized controlled trial results to a target population.Journal of the American Medical Informatics Association : JAMIA · 2019Article
- Comparing the Study Populations in Dietary Supplement and Drug Clinical Trials for Metabolic Syndrome and Related Disorders.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019Article
- EliIE: An open-source information extraction system for clinical trial eligibility criteria.Journal of the American Medical Informatics Association : JAMIA · 2017Article
- Comparing and Contrasting A Priori and A Posteriori Generalizability Assessment of Clinical Trials on Type 2 Diabetes Mellitus.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017Article
- Analysis of Temporal Constraints in Qualitative Eligibility Criteria of Cancer Clinical Studies.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2016Article
- Clinical Research Informatics for Big Data and Precision Medicine.Yearbook of medical informatics · 2016Article
- Assessing the population representativeness of colorectal cancer treatment clinical trials.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2016Article
- Multivariate analysis of the population representativeness of related clinical studies.Journal of biomedical informatics · 2016Article
- Optimizing Clinical Research Participant Selection with Informatics.Trends in pharmacological sciences · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Randomized controlled trials generate high-quality medical evidence. However, the use of unjustified inclusion/exclusion criteria may compromise the external validity of a study. We have introduced a method to assess the population representativeness of related clinical trials using electronic health record (EHR) data. As EHR data may not perfectly represent the real-world patient population, in this work, we further validated the method and its results using the National Health and Nutrition Examination Survey (NHANES) data. We visualized and quantified the differences in the distributions of age, HbA1c, and BMI among the target population of Type 2 diabetes trials, diabetics in NHANES databases, and a convenience sample of patients enrolled in selected Type 2 diabetes trials. The results are consistent with the previous study.
Indexed as
Identifiers
26262115PMC4586087What 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.