ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2015
Simulation-based Evaluation of the Generalizability Index for Study Traits.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Analyzing the association of estimated pulse wave velocity with the risk and mortality of chronic kidney disease: a study based on the NHANES database.International urology and nephrology · 2026Article
- Simulating Colorectal Cancer Trials Using Real-World Data.JCO clinical cancer informatics · 2022Article
- Quantifying representativeness in randomized clinical trials using machine learning fairness metrics.JAMIA open · 2021Article
- Replication and generalization in applied neuroimaging.NeuroImage · 2019Article
- Assessing the Validity of aAMIA ... Annual Symposium proceedings. AMIA Symposium · 2019Article
- Real world evidence (RWE) - a disruptive innovation or the quiet evolution of medical evidence generation?F1000Research · 2018Article
- 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
- GIST 2.0: A scalable multi-trait metric for quantifying population representativeness of individual clinical studies.Journal of biomedical 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
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
The Generalizability Index for Study Traits (GIST) has been proposed recently for assessing the population representativeness of a set of related clinical trials using eligibility features (e.g., age or BMI), one each time. However, GIST has not yet been evaluated. To bridge this knowledge gap, this paper reports a simulation-based validation study for GIST. Using the National Health and Nutrition Examination Survey (NHANES) data, we demonstrated the effectiveness of GIST at quantifying the population representativeness of a set of related trials that differ in disease domains, study phases, sponsor types, and study designs, respectively. We also showed that among seven example medical conditions, the GIST of age increases from Phase I trials to Phase III trials in the seven disease domains and is the lowest in asthma trials. We concluded that GIST correlates with simulation-based generalizability results and is a valid metric for quantifying population representativeness of related clinical trials.
Indexed as
Identifiers
26958194PMC4765558What 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.