Efficacy and safety of long‐term low‐calorie diet in severely obese patients non‐eligible for surgery
Bibliographic record
Abstract
The aim of this study was to describe the long-term efficacy and safety of low-calorie diets (LCDs; providing 900 kcal day(-1) ) in obese patients who have failed to achieve adequate weight loss with standard medical management and are non-eligible for surgical therapeutic options. Charts from a regional hospital-based outpatient bariatric programme were reviewed. Eight patients (75% male, age 60.1 ± 7.8 years) with severe obesity (body mass index 57.1 ± 8.8 kg m(-2) ) and undergoing long-term LCD (33 ± 10 months) were identified. Variables of interest included anthropometric, cardiovascular risk and nutritional parameters, thyroid, renal and liver function, changes in medications, side effects and adverse events. Average weight loss was 44 ± 15 kg (27 ± 13% of initial weight) at 24 months. Long-term management with LCD resulted in substantial and sustained improvements in glucose homeostasis, blood pressure and lipid profile. LCD was well tolerated with minor self-limited side effects. Over the follow-up period, two subjects underwent coronary revascularization and one patient underwent knee replacement surgery - all recovered without complications. These findings suggest that in selected obese patients (non-eligible for surgery), long-term management with LCD may provide an alternative option for substantial and sustainable weight loss with significant improvements in metabolic and cardiovascular health.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 source (direct Gemma or distilled Codex), 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".