ArticleJournal of biomedical informatics2011
OnWARD: ontology-driven web-based framework for multi-center clinical studies.
Article in Journal of biomedical informatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- A data management system for precision medicine.PLOS digital health · 2025Article
- Review
- The Development of a Clinical Registry Digital Database on Invasive Fungal Infections in India: Advancing Epidemiological Understanding and Patient Care.Journal of fungi (Basel, Switzerland) · 2024Article
- Data management system for diabetes clinical trials: a pre-post evaluation study.BMC medical informatics and decision making · 2023Article
- Article
- A Clinical Data Management System for Diabetes Clinical Trials.Journal of healthcare engineering · 2022Article
- Individualized Clinical Practice Guidelines for Pressure Injury Management: Development of an Integrated Multi-Modal Biomedical Information Resource.JMIR research protocols · 2018Article
- DCDS: A Real-time Data Capture and Personalized Decision Support System for Heart Failure Patients in Skilled Nursing Facilities.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016Article
- Epilepsy informatics and an ontology-driven infrastructure for large database research and patient care in epilepsy.Epilepsia · 2013Review
- The integrated proactive surveillance system for prostate cancer.The open medical informatics journal · 2012Article
- An analysis of multi-type relational interactions in FMA using graph motifs with disjointness constraints.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2012Article
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
With a large percentage of clinical trials still using paper forms as the primary data collection tool, there is much potential for increasing efficiency through web-based data collection systems, especially for large-scale multi-center trials. This paper presents OnWARD, an ontology-driven, secure, rapidly-deployed, web-based framework supporting data capture for large-scale multi-center clinical research. Our approach is developed using the agile methodology to provide a flexible, user-centered dynamic form generator, which can be quickly deployed and customized for any clinical study without the need of deep technical expertise. Because of the flexible framework, the data management system can be extended to accommodate a large variety of data types, including genetic, genomic and proteomic data. In this paper, we demonstrate the initial deployment of OnWARD for a Phase II multi-center clinical trial after a development period of merely three months. The study utilizes 23 clinical report forms containing more than 1500 data points. Preliminary evaluation results show that OnWARD exceeded expectations of the clinical investigators in efficiency, flexibility and ease in setting up.
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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.