Pendidikan IPS sebagai “Synthetic Discipline”: Kajian Epistemologis Atas Pemikiran Nu\u27man Somantri

Pemikiran seorang atau kelompok pakar merupakan bagian integral dalam dinamika sebuah disiplin ilmu, dan kajian terhadapnya telah menjadi concern dalam berbagai disiplin ilmu. Penelitian ini mengkaji secara epistemologis pemikiran Somantri tentang PIPS sebagai ‘synthetic discipline\u27. Penelitian bersifat kualitatif-interpretif dan menggunakan sumber data primer dan sekunder dengan teknik anotasi bibliografis dan reviu literatur serta dianalisis dengan teknik analisis konten kualitatif. Hasil penelitian menunjukkan bahwa secara epistemologis, PIPS dalam pemikiran Somantri dikonseptualisasi sebagai sebuah disiplin ilmu (DPIPS) dan program pendidikan disiplin ilmu (PDIPS) terintegrasi, hasil rekayasa sinergistis dari dua atau lebih disiplin ilmu yang setara untuk tujuan PIPS. PIPS sebagai disiplin ilmu terintegrasi adalah identitas, jati-diri, ciri khas, dan faculty culture FPIPS dan pascasarjana PIPS. PIPS sebagai DPIPS memiliki status akademik sebagai advance knowledge, middle studies, dan primary structure. PIPS sebagai program PDIPS memiliki status akademik sebagai PDIPS untuk jenjang pendidikan tinggi, dan PDIPS untuk jenjang pendidikan sekolah

A Novel 8-Predictors Signature to Predict Complicated Disease Course in Pediatric-onset Crohn’s Disease: A Population-based Study

International audienceBackground The identification of patients at high risk of a disabling disease course would be invaluable in guiding initial therapy in Crohn’s disease (CD). Our objective was to evaluate a combination of clinical, serological, and genetic factors to predict complicated disease course in pediatric-onset CD. Methods Data for pediatric-onset CD patients, diagnosed before 17 years of age between 1988 and 2004 and followed more than 5 years, were extracted from the population-based EPIMAD registry. The main outcome was defined by the occurrence of complicated behavior (stricturing or penetrating) and/or intestinal resection within the 5 years following diagnosis. Lasso logistic regression models were used to build a predictive model based on clinical data at diagnosis, serological data (ASCA, pANCA, anti-OmpC, anti-Cbir1, anti-Fla2, anti-Flax), and 369 candidate single nucleotide polymorphisms. Results In total, 156 children with an inflammatory (B1) disease at diagnosis were included. Among them, 35% (n = 54) progressed to a complicated behavior or an intestinal resection within the 5 years following diagnosis. The best predictive model (PREDICT-EPIMAD) included the location at diagnosis, pANCA, and 6 single nucleotide polymorphisms. This model showed good discrimination and good calibration, with an area under the curve of 0.80 after correction for optimism bias (sensitivity, 79%, specificity, 74%, positive predictive value, 61%, negative predictive value, 87%). Decision curve analysis confirmed the clinical utility of the model. Conclusions A combination of clinical, serotypic, and genotypic variables can predict disease progression in this population-based pediatric-onset CD cohort. Independent validation is needed before it can be used in clinical practice