Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Индекс стоматологической эрозии× | Индекс КПУ (DMFT)× | |
|---|---|---|
| Область | Стоматология | Стоматология |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1990s+ (systematic indices) | 1938 |
| Автор метода≠ | Multiple indices (Lussi index, BEWE, etc.) | Henry Klein, Cedric Palmer, and James Knutson |
| Тип≠ | Clinical assessment index | Epidemiological index |
| Основополагающий источник≠ | Lussi, A., Jaeggi, T., & Zero, D. (2004). The role of diet in the aetiology of dental erosion. Caries Research, 38(1), 34-44. DOI ↗ | Klein, H., Palmer, C. E., & Knutson, J. W. (1938). Studies on dental caries: I. Dental status and dental needs of elementary school children. Public Health Reports, 53(32), 1259-1274. DOI ↗ |
| Другие названия | tooth wear index, erosion severity index, TSL index | DMF index, DMF score, DMFT score |
| Связанные≠ | 3 | 4 |
| Сводка≠ | The Dental Erosion Index is a systematic clinical assessment tool that quantifies the severity of tooth surface loss caused by non-carious erosive agents (acidic substances, mechanical abrasion, or biological factors). Multiple index systems exist (e.g., Lussi Index, Basic Erosive Wear Examination or BEWE), each scoring erosion based on the extent and depth of surface loss on coronal and cervical tooth surfaces. Erosion assessment is critical for identifying patients at risk for advanced tooth loss, determining preventive interventions, and guiding restorative management. | The DMFT (Decayed, Missing due to caries, Filled) Index is a standardized epidemiological measure of dental caries experience in permanent dentition. Developed by Klein, Palmer, and Knutson in 1938, it quantifies the number of permanent teeth that are decayed, missing due to caries, or filled due to caries. The DMFT Index remains the most widely used caries index globally, enabling comparison of oral health across populations and tracking disease burden over time. |
| ScholarGateНабор данных ↗ |
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