Effectiveness of a Multidisciplinary Program for Management of Obesity: The Unité d’Enseignement, de Traitement et de Recherche sur l’Obésité (UETRO) Database Study
Bibliographic record
Abstract
BACKGROUND: Obesity is a worldwide health problem assuming epidemic proportions. Development of effective clinical interventions is needed to lower the impact of associated morbidity and mortality, without forgetting related costs. We have established an interdisciplinary clinic for obesity management, Unité d'Enseignement, de Traitement et de Recherche sur l'Obésité (UETRO), which consists of individual consultations combined with group sessions. We report here the effectiveness of this program for weight reduction over the first year of follow up. METHODS: We performed retrospective analysis of standardized patient records of the first 115 consecutive subjects referred to UETRO with available follow up for 1 year. RESULTS: Mean age, body mass index (BMI), and waist circumference (WC) of our cohort were 46 +/- 13 years, 44.7 +/- 0.9 kg/m(2), and 120.5 +/- 1.9 cm, respectively. Hypertension and diabetes were present in 46% and 23% of our patients. Weight and WC loss were gradual over 1 year and were significantly reduced by 6.6 +/- 0.8 kg and 6.7 +/- 0.7 cm, respectively (P < 0.001), without attainment of a plateau. Blood pressure and lipid profile significantly improved after 1 year of follow up. However, the proportion of patients taking metformin, lipid-lowering, antihypertensive, or antiobesity drugs increased significantly over follow up, reflecting intensification of treatment of co-morbidities and weight management. Significant weight and WC loss occurred independently of diabetes status and use of antiobesity medications. CONCLUSIONS: This program appears to be as effective for treating obesity as more intensive treatment programs. Future prospective studies are needed to evaluate the benefits and costs of this therapeutic approach.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".