ArticleJournal of dental research2015
Detecting and treating occlusal caries lesions: a cost-effectiveness analysis.
Article in Journal of dental research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 5 of them syntheses that pooled it.
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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.
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Who cites it
19 citing papers in PubMed, 5 syntheses or guidelines pooled it, 54 citations in OpenAlex.
- Deep caries management: EFCD-ESE-ORCA S3-level clinical practice guideline.Clinical oral investigations · 2026Guideline
- Deep Caries Management: EFCD-ESE-ORCA S3-Level Clinical Practice Guideline.Caries research · 2026Guideline
- Interventions for treating cavitated or dentine carious lesions.The Cochrane database of systematic reviews · 2021Pooled it
- A systematic review of decision analytic modeling techniques for the economic evaluation of dental caries interventions.PloS one · 2019Pooled it
- Visual and radiographic caries detection: a tailored meta-analysis for two different settings, Egypt and Germany.BMC oral health · 2018Pooled it
- Health economic evaluation of forced orthodontic extrusion of extensively damaged teeth: up to 6-year results from a clinical study.Clinical oral investigations · 2023Trial
- Clinical decision-making in pulp therapy of primary teeth among Tunisian dental practitioners: a cross-sectional study.European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry · 2026Article
- Automatic recognition of oral health status in mixed dentition via intraoral photography.BMC oral health · 2025Article
- Transfer Learning-Based Classifier to Automate the Extraction of False X-Ray Images From Hospital's Database.International dental journal · 2024Article
- Caries Detection and Classification in Photographs Using an Artificial Intelligence-Based Model-An External Validation Study.Diagnostics (Basel, Switzerland) · 2024Article
- Detection, Diagnosis, and Monitoring of Early Caries: The Future of Individualized Dental Care.Diagnostics (Basel, Switzerland) · 2023Review
- Artificial Intelligence for Caries Detection: Value of Data and Information.Journal of dental research · 2022Article
- Cost-effectiveness of Artificial Intelligence as a Decision-Support System Applied to the Detection and Grading of Melanoma, Dental Caries, and Diabetic Retinopathy.JAMA network open · 2022Article
- Identifying and Avoiding Risk of Bias in Caries Diagnostic Studies.Journal of clinical medicine · 2021Article
- Cost-effectiveness of Artificial Intelligence for Proximal Caries Detection.Journal of dental research · 2021Article
- Demineralization detection in orthodontics using an ophthalmic optical coherence tomography device equipped with a multicolor fluorescence module.Clinical oral investigations · 2020Article
- Boron Nitride Nanotubes as Filler for Resin-Based Dental Sealants.Scientific reports · 2019Article
- Radiographic diagnosis of proximal caries-influence of experience and gender of the dental staff.Clinical oral investigations · 2017Article
- Managing caries: the need to close the gap between the evidence base and current practice.British dental journal · 2015Article
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 at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The health gains and costs resulting from using different caries detection strategies might not only depend on the accuracy of the used method but also the treatment emanating from its use in different populations. We compared combinations of visual-tactile, radiographic, or laser-fluorescence-based detection methods with 1 of 3 treatments (non-, micro-, and invasive treatment) initiated at different cutoffs (treating all or only dentinal lesions) in populations with low or high caries prevalence. A Markov model was constructed to follow an occlusal surface in a permanent molar in an initially 12-y-old male German patient over his lifetime. Prevalence data and transition probabilities were extracted from the literature, while validity parameters of different methods were synthesized or obtained from systematic reviews. Microsimulations were performed to analyze the model, assuming a German health care setting and a mixed public-private payer perspective. Radiographic and fluorescence-based methods led to more overtreatments, especially in populations with low prevalence. For the latter, combining visual-tactile or radiographic detection with microinvasive treatment retained teeth longest (mean 66 y) at lowest costs (329 and 332 Euro, respectively), while combining radiographic or fluorescence-based detections with invasive treatment was the least cost-effective (<60 y, >700 Euro). In populations with high prevalence, combining radiographic detection with microinvasive treatment was most cost-effective (63 y, 528 Euro), while sensitive detection methods combined with invasive treatments were again the least cost-effective (<59 y, >690 Euro). The suitability of detection methods differed significantly between populations, and the cost-effectiveness was greatly influenced by the treatment initiated after lesion detection. The accuracy of a detection method relative to a "gold standard" did not automatically convey into better health or reduced costs. Detection methods should be evaluated not only against their criterion validity but also the long-term effects resulting from their use in different populations.
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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.