ReviewJournal of public health dentistry2020
Using big data to promote precision oral health in the context of a learning healthcare system.
Review in Journal of public health dentistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Big Data and Digitalization in Dentistry: A Systematic Review of the Ethical Issues.International journal of environmental research and public health · 2020Pooled it
- Mining the Public Mind: A Text-Mining Approach to Dental Implants and Dentures.Dentistry journal · 2026Article
- Emerging Technologies, Education, and Governance in Latin American Dentistry: Perspectives from Venezuela and Nicaragua.International dental journal · 2026Article
- Efficiency and Risk Assessment of Dental Bridge Removal Tools on Implant Abutments.Journal of functional biomaterials · 2026Article
- Deep Learning Approaches to Forecast Physical and Mental Deterioration During Chemotherapy in Patients with Cancer.Diagnostics (Basel, Switzerland) · 2025Article
- Application of machine learning in dentistry: insights, prospects and challenges.Acta odontologica Scandinavica · 2025Review
- Machine Learning-Based Prediction of No-Show Telemedicine Encounters.Telemedicine reports · 2025Article
- Telemedicine-Supported Exercise Interventions in Hematopoietic Stem Cell Transplantation: A Scoping Review.International journal of general medicine · 2025Review
- A Digital Clinical Records Versus Paper Records in Dental Practice: A Comparative Study.BioMed research international · 2025Article
- Article
- LMCD-OR: a large-scale, multilevel categorized diagnostic dataset for oral radiography.Journal of translational medicine · 2024Article
- Letter to the Editor, "Advancements and Challenges in Precision Dentistry".Frontiers in dentistry · 2024Article
- Preemptive Forecasting of Symptom Escalation in Cancer Patients Undergoing Chemotherapy.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
- Intimate partner violence and orofacial injuries in a multi-school dental data repository.Journal of dental education · 2023Article
- Dental Extractions under General Anesthesia: New Insights from Process Mining.JDR clinical and translational research · 2023Article
- Article
- Discourse about human papillomavirus (HPV)-associated oropharyngeal cancer (OPC) on Twitter: Lessons for public health education about OPC and dental care.Public health in practice (Oxford, England) · 2022Article
- Clinical decision support systems in orthodontics: A narrative review of data science approaches.Orthodontics & craniofacial research · 2021Review
- Tracking oral health in a standardized, evidence-based, prevention-focused dental care system.Journal of public health dentistry · 2020Article
- Using big data to promote precision oral health in the context of a learning healthcare system.Journal of public health dentistry · 2020Review
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
There has been a call for evidence-based oral healthcare guidelines, to improve precision dentistry and oral healthcare delivery. The main challenges to this goal are the current lack of up-to-date evidence, the limited integrative analytical data sets, and the slow translations to routine care delivery. Overcoming these issues requires knowledge discovery pipelines based on big data and health analytics, intelligent integrative informatics approaches, and learning health systems. This article examines how this can be accomplished by utilizing big data. These data can be gathered from four major streams: patients, clinical data, biological data, and normative data sets. All these must then be uniformly combined for analysis and modelling and the meaningful findings can be implemented clinically. By executing data capture cycles and integrating the subsequent findings, practitioners are able to improve public oral health and care delivery.
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.