Schierz, Oliver and Lee, Chi Hyun and John, Mike T. and Rauch, Angelika and Reissmann, Daniel R. and Kohal, Ralf and Marre, Birgit and Boening, Klaus and Walter, Michael H. and Gunnar, Ralph and Rudolph, Heike and Mundt, Torsten and Hannak, Wolfgang and Heydecke, Guido and Kern, Matthias and Hartmann, Sinsa and Boldt, Julian and Stark, Helmut and Edelhoff, Daniel and Woestmann, Bernd and Wolfart, Stefan and Jahn, Florentine (2022) HOW TO IDENTIFY SUBGROUPS IN LONGITUDINAL CLINICAL DATA: TREATMENT RESPONSE PATTERNS IN PATIENTS WITH A SHORTENED DENTAL ARCH. JOURNAL OF EVIDENCE-BASED DENTAL PRACTICE, 23 (1). pp. 1-14. ISSN 1532-3382, 1532-3390
Full text not available from this repository.Abstract
BackgroundWhen dental patients seek care, treatments are not always successful,that is patients' oral health problems are not always eliminated or substantially reduced. Identifying these patients (treatment non-responders) is essential for clinical decision-making. Group-based trajectory modeling (GBTM) is rarely used in dentistry, but a promising statistical technique to identify non-responders in particular and clinical distinct patient groups in general in longitudinal data sets.AimUsing group-based trajectory modeling, this study aimed to demonstrate how to identify oral health-related quality of life (OHRQoL) treatment response patterns by the example of patients with a shortened dental arch (SDA).MethodsThis paper is a secondary data analysis of a randomized controlled clinical trial. In this trial SDA patients received partial removable dental prostheses replacing missing teeth up to the first molars ( N = 79) either or the dental arch ended with the second premolar that was present or replaced by a cantilever fixed dental prosthesis ( N = 71). Up to ten follow-up examinations (1-2, 6, 12, 24, 36, 48, 60, 96, 120, and 180 months post-treatment) continued for 15 years. The outcome OHRQoL was assessed with the 49-item Oral Health Impact Profile (OHIP). Ex-ploratory GBTM was performed to identify treatment response patterns. ResultsTwo response patterns could be identified - "responders " and "non -responders. " Responders' OHRQoL improved substantially and stayed primarily stable over the 15 years. Non-responders' OHRQoL did not improve consider-ably over time or worsened. While the SDA treatments were not related to the 2 response patterns, higher levels of functional, pain-related, psychological im-pairment in particular, and severely impaired OHRQoL in general predicted a non-responding OHRQoL pattern after treatment. Supplementary, a 3 pattern approach has been evaluated.ConclusionsClustering patients according to certain longitudinal characteristics after treat-ment is generally important, but specifically identifying treatment in non -responders is central. With the increasing availability of OHRQoL data in clinical research and regular patient care, GBTM has become a powerful tool to investi-gate which dental treatment works for which patients.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | QUALITY-OF-LIFE; HEALTH IMPACT PROFILE; COMPLETE DENTURES; TRAJECTORIES; MEDICATION; ADHERENCE; Oral health-related quality of life; Randomized clinical trial; Non-responder analysis; Partially dentate adults; Tooth loss; Developmental trajectories |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Zahnärztliche Prothetik |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 07 Apr 2026 09:22 |
| Last Modified: | 07 Apr 2026 09:22 |
| URI: | https://pred.uni-regensburg.de/id/eprint/60812 |
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