ArticleClinical pharmacology and therapeutics2016
Big Data Transforms Discovery-Utilization Therapeutics Continuum.
Article in Clinical pharmacology and therapeutics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Metabolomics in cancer detection: A review of techniques, biomarkers, and clinical utility.BioMedicine · 2025Review
- Crowd-Sourced Chemistry: Considerations for Building a Standardized Database to Improve Omic Analyses.ACS omega · 2020Review
- The Regenerative Horizon: Opportunities for Nursing Research and Practice.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2019Article
- Applying a "Big Data" Literature System to Recommend Antihypertensive Drugs for Hypertension Patients with Diabetes Mellitus.Medical science monitor : international medical journal of experimental and clinical research · 2018Article
- Ethics and Epistemology in Big Data Research.Journal of bioethical inquiry · 2017Article
- Peer Review Certifies Quality and Innovation in Clinical Pharmacology & Therapeutics.Clinical pharmacology and therapeutics · 2017Article
- Clinical Pharmacology & Therapeutics: Past, Present, and Future.Clinical pharmacology and therapeutics · 2017Article
- Managing Innovation to Maximize Value Along the Discovery-Translation-Application Continuum.Clinical pharmacology and therapeutics · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Enabling omic technologies adopt a holistic view to produce unprecedented insights into the molecular underpinnings of health and disease, in part, by generating massive high-dimensional biological data. Leveraging these systems-level insights as an engine driving the healthcare evolution is maximized through integration with medical, demographic, and environmental datasets from individuals to populations. Big data analytics has accordingly emerged to add value to the technical aspects of storage, transfer, and analysis required for merging vast arrays of omic-, clinical-, and eco-datasets. In turn, this new field at the interface of biology, medicine, and information science is systematically transforming modern therapeutics across discovery, development, regulation, and utilization.
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.