Purpose: The Japan Prosthodontic Society (JPS) has proposed a new diagnostic nomenclature system (DNS), based on pathogenesis and etiology, to facilitate and improve prosthodontic treatment. This system specifies patient disability and the causative factor (i.e. "B (disability) caused by A (causative factor)"). The purpose of this study was to examine the reliability and validity of this DNS.

Study Selection: The JPS Clinical Guideline Committee assessed mock patient charts and formulated disease names using the new DNS. Fifty validators, comprising prosthodontic specialists and dental residents, made diagnoses using the same patient charts. Reliability was evaluated as the consistency of the disease names among the validators, and validity was evaluated using the concordance rate of the disease names with the reference disease names.

Results: Krippendorff's α was 0.378 among all validators, 0.370 among prosthodontic specialists, and 0.401 among dental hospital residents. Krippendorff's α for 10 validators (3 specialists and 7 residents) with higher concordance rates was 0.524. Two validators (1 specialist and 1 resident) with the highest concordance rates had a Krippendorff's α of 0.648. Common disease names had higher concordance rates, while uncommon disease names showed lower concordance rates. These rates did not show correlation with clinical experience of the validator or time taken to devise the disease name.

Conclusions: High reliability was not found among all validators; however, validators with higher concordance rates showed better reliability. Furthermore, common disease names had higher concordance rates. These findings indicate that the new DNS for prosthodontic dentistry exhibits clinically acceptable reliability and validity.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jpor.2016.06.005DOI Listing

Publication Analysis

Top Keywords

disease names
24
concordance rates
24
higher concordance
16
reliability validity
12
diagnostic nomenclature
8
nomenclature system
8
patient charts
8
disease
8
prosthodontic specialists
8
common disease
8

Similar Publications

Development and Validation of KCPREDICT: A Deep Learning Model for Early Detection of Coronary Artery Lesions in Kawasaki Disease Patients.

Pediatr Cardiol

January 2025

Department of Infectious Disease, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, No. 1678 Dongfang Road, Pudong New Area, Shanghai, 200127, China.

Kawasaki disease (KD) is a febrile vasculitis disorder, with coronary artery lesions (CALs) being the most severe complication. Early detection of CALs is challenging due to limitations in echocardiographic equipment (UCG). This study aimed to develop and validate an artificial intelligence algorithm to distinguish CALs in KD patients and support diagnostic decision-making at admission.

View Article and Find Full Text PDF

Background: Pursuing excellence in healthcare delivery systems is an ongoing process. In this process, continuing medical education (CME) is essential for medical professionals to maintain high standards of patient care. In China, where the healthcare sector is undergoing considerable reforms and faces challenges owing to socioeconomic development and demographic shifts, an effective CME system is vital for general practitioners (GPs).

View Article and Find Full Text PDF

Identification and characterization of the Cul t 1 as major allergen from biting midge Culicoides tainanus.

Mol Immunol

January 2025

Department of Cell Biology, School of Preclinical Medicine, Zunyi Medical University, Zunyi, Guizhou 563003, China. Electronic address:

Background: Midges are widely distributed globally. They can transmit numerous serious diseases as well as trigger an allergic reaction in the host. Their saliva contains a variety of proteins that act as sensitizers to stimulate the host's immune response, leading to IgE-mediated allergic symptoms.

View Article and Find Full Text PDF

Development of a novel modified selective medium cefixime-tellurite-phosphate-xylose-rhamnose MacConkey agar for isolation of Escherichia albertii and its evaluation with food samples.

Int J Food Microbiol

January 2025

Graduate School of Life and Environmental Sciences, Osaka Prefecture University, 1-58, Rinkuourai-kita, Izumisano, Osaka 598-8531, Japan; Graduate School of Veterinary Science, Osaka Metropolitan University, Osaka, Japan; Asian Health Science Research Institute, Osaka Metropolitan University, Osaka, Japan; Osaka International Research Center for Infectious Diseases, Osaka Metropolitan University, 1-58, Rinkuourai-kita, Izumisano, Osaka 598-8531, Japan. Electronic address:

Since cefixime and tellurite are known to inhibit most bacteria belonging to Enterobacterales, we found that addition of tellurite inhibited E. albertii growth in Luria Bertani broth but not in tryptic soy broth (TSB), and addition of phosphate and soy peptone enhanced E. albertii growth in TSB in presence of tellurite.

View Article and Find Full Text PDF

Objective: To estimate limb loss prevalence in the United States (US) by etiology and anatomical position and the trends of limb loss over 40 years.

Design: We used the National Inpatient Sample, Healthcare Cost and Utilization Project to estimate current and future limb loss prevalence in the US and by anatomical location. Prevalence estimates were based on the incidence and duration of the disease.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!