Can response to dietary restriction predict weight loss after <scp>R</scp>oux‐en‐<scp>Y</scp> gastroplasty?
Bibliographic record
Abstract
OBJECTIVE: To determine whether weight loss (WL) with 6 weeks of a low-calorie liquid diet as part of a behavioral program (LCDBP) predicts subsequent weight change in response to a laparoscopic Roux-en-Y gastric bypass (RYGB). METHODS: Of 4698 LCDBP patients, 403 went on to RYGB and 222 were evaluable. We determined correlations between percent WL (% WL) in 6 weeks of LCDBP with % WL at 4, 12, 24, 36, and 52 weeks after RYGB. RESULTS: There was a positive correlation between the slope of WL in the first 6 weeks of LCDBP and over 4 and 12 weeks after RYGB: r = 0.15 (CI = 0.003-0.285, P = 0.045) and r = 0.22 (CI = 0.08-0.35, P = 0.0017), respectively. The association was also apparent at 24 weeks in females but not in males. There was a statistically significant correlation between % WL at 26 weeks of LCDBP and 52 weeks postsurgery (r = 0.20, CI = 0.05-0.34, P = 0.01). Finally, % WL at 6 weeks also predicted % WL at 26 weeks of dietary intervention (r = 0.52, CI = 0.40-0.62, P = 2.40 × 10(-14) ). CONCLUSIONS: WL in response to 6 weeks of LCDBP is predictive of weight for at least 12 weeks following RYGB.
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 | 0.001 | 0.005 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".