ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2018
Assessing Information Congruence of Documented Cardiovascular Disease between Electronic Dental and Medical Records.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Does Nonsurgical Periodontal Treatment Improve Systemic Health?Journal of dental research · 2021Pooled it
- Prediction of Sjögren's disease diagnosis using matched electronic dental-health record data.BMC medical informatics and decision making · 2024Article
- Longevity of dental restorations in Sjogren's disease patients using electronic dental and health record data.BMC oral health · 2024Article
- Dentists' Information Needs and Opinions on Accessing Patient Information via Health Information Exchange: Survey Study.JMIR formative research · 2024Article
- Developing Automated Computer Algorithms to Track Periodontal Disease Change from Longitudinal Electronic Dental Records.Diagnostics (Basel, Switzerland) · 2023Article
- Article
- Developing Automated Computer Algorithms to Phenotype Periodontal Disease Diagnoses in Electronic Dental Records.Methods of information in medicine · 2022Article
- Cardiovascular informatics: building a bridge to data harmony.Cardiovascular research · 2022Review
- Retrospective Study of the Reasons and Time Involved for Dental Providers' Medical Consults.Frontiers in digital health · 2022Article
- How Do Dental Clinicians Obtain Up-To-Date Patient Medical Histories? Modeling Strengths, Drawbacks, and Proposals for Improvements.Frontiers in digital health · 2022Article
- Review
- Finding Dental Harm to Patients through Electronic Health Record-Based Triggers.JDR clinical and translational research · 2020Article
- Health information exchange use during dental visits.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020Article
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
No grant is acknowledged in the PubMed record.
Abstract
Dentists are more often treating patients with Cardiovascular Diseases (CVD) in their clinics; therefore, dentists may need to alter treatment plans in the presence of CVD. However, it's unclear to what extent patient-reported CVD information is accurately captured in Electronic Dental Records (EDRs). In this pilot study, we aimed to measure the reliability of patient-reported CVD conditions in EDRs. We assessed information congruence by comparing patients' self-reported dental histories to their original diagnosis assigned by their medical providers in the Electronic Medical Record (EMR). To enable this comparison, we encoded patients CVD information from the free-text data of EDRs into a structured format using natural language processing (NLP). Overall, our NLP approach achieved promising performance extracting patients' CVD-related information. We observed disagreement between self-reported EDR data and physician-diagnosed EMR data.
Indexed as
Identifiers
30815189PMC6371326What 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.