ArticleJAMIA open2018
A Curated Cancer Clinical Outcomes Database (C3OD) for accelerating patient recruitment in cancer clinical trials.
Article in JAMIA open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis 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
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The usage of population and disease registries as pre-screening tools for clinical trials, a systematic review.Systematic reviews · 2024Pooled it
- Using Bayesian hierarchical modeling for performance evaluation of clinical trial accrual for a cancer center.Contemporary clinical trials communications · 2024Article
- Review
- Bolstering the complex study start-up process at NCI cancer centers using technology.Contemporary clinical trials communications · 2022Article
- The need to study rural cancer outcome disparities at the local level: a retrospective cohort study in Kansas and Missouri.BMC public health · 2021Article
- Improving the efficiency of clinical trials by standardizing processes for Investigator Initiated Trials.Contemporary clinical trials communications · 2020Article
- Relevant Word Order Vectorization for Improved Natural Language Processing in Electronic Health Records.Scientific reports · 2019Article
- Optimizing Retrieval of Biospecimens Using the Curated Cancer Clinical Outcomes Database (C3OD).Cancer informatics · 2019Article
- A Hybrid Technology-Enabled Financial Navigation Model to Combat Financial Toxicity in Cancer Care.Cancer control : journal of the Moffitt Cancer CenterArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Data used to determine patient eligibility for cancer clinical trials often come from disparate sources that are typically maintained by different groups within an institution, use differing technologies, and are stored in different formats. Collecting data and resolving inconsistencies across sources increase the time it takes to screen eligible patients, potentially delaying study completion. To address these challenges, the Biostatistics and Informatics Shared Resource at The University of Kansas Cancer Center developed the Curated Cancer Clinical Outcomes Database (C3OD). C3OD merges data from the electronic medical record, tumor registry, bio-specimen and data registry, and allows querying through a single unified platform. By centralizing access and maintaining appropriate controls, C3OD allows researchers to more rapidly obtain detailed information about each patient in order to accelerate eligibility screening. This case report describes the design of this informatics platform as well as initial assessments of its reliability and usability.
Indexed as
Identifiers
What 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.