ReviewInternational journal of environmental research and public health2018
Population-Based Linkage of Big Data in Dental Research.
Review in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses 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
19 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Ethical issues raised by artificial intelligence and big data in population health: a scoping review.Frontiers in sociology · 2025Pooled it
- Big Data and Digitalization in Dentistry: A Systematic Review of the Ethical Issues.International journal of environmental research and public health · 2020Pooled it
- Association Between Oral Health-Related Quality of Life and Depressive Symptoms in Older Adults in Canton Zurich: A Cross-Sectional Pilot Study.Healthcare (Basel, Switzerland) · 2026Article
- Dental Research in the Digital Age: The Registry-Based Clinical Trial.Clinical oral implants research · 2026Article
- Artificial Intelligence in Dentistry: A Narrative Review of Diagnostic and Therapeutic Applications.Medical science monitor : international medical journal of experimental and clinical research · 2025Review
- Application of machine learning in dentistry: insights, prospects and challenges.Acta odontologica Scandinavica · 2025Review
- Impact of dental visiting patterns on oral health: A systematic review of longitudinal studies.BDJ open · 2024Review
- Review
- Article
- Protocol for developing a dashboard for interactive cohort analysis of oral health-related data.BMC oral health · 2023Article
- The Potential of Blockchain Technology in Dental Healthcare: A Literature Review.Sensors (Basel, Switzerland) · 2023Review
- Bibliometric Analysis of Context, Trends, and Contents of Digital Health Technology Used in Dental Health.BioMed research international · 2023Review
- Personalized workflows in reconstructive dentistry-current possibilities and future opportunities.Clinical oral investigations · 2022Review
- Salivary biomarkers as key to monitor personalized oral healthcare and precision dentistry: A scoping review.Frontiers in oral health · 2022Article
- Clinical decision support systems in orthodontics: A narrative review of data science approaches.Orthodontics & craniofacial research · 2021Review
- The Modern and Digital Transformation of Oral Health Care: A Mini Review.Healthcare (Basel, Switzerland) · 2021Review
- Digital Oral Medicine for the Elderly.International journal of environmental research and public health · 2020Review
- Recent Trends and Future Direction of Dental Research in the Digital Era.International journal of environmental research and public health · 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Population-based linkage of patient-level information opens new strategies for dental research to identify unknown correlations of diseases, prognostic factors, novel treatment concepts and evaluate healthcare systems. As clinical trials have become more complex and inefficient, register-based controlled (clinical) trials (RC(C)T) are a promising approach in dental research. RC(C)Ts provide comprehensive information on hard-to-reach populations, allow observations with minimal loss to follow-up, but require large sample sizes with generating high level of external validity. Collecting data is only valuable if this is done systematically according to harmonized and inter-linkable standards involving a universally accepted general patient consent. Secure data anonymization is crucial, but potential re-identification of individuals poses several challenges. Population-based linkage of big data is a game changer for epidemiological surveys in Public Health and will play a predominant role in future dental research by influencing healthcare services, research, education, biotechnology, insurance, social policy and governmental affairs.
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.