Tolerance and Efficacy of a New Enteral Formula Specifically Designed for Elderly Persons: An Experimental Study in the Aged Rat
Bibliographic record
Abstract
For the first time, a formula was specifically designed for the nutritional support of tube-fed elderly patients (Elderly-Specific Formula [ESF], Nestlé, Switzerland). It was tested against a standard formula (Sondalis Iso [SI], Nestlé Clinical Nutrition, Marne la Vallée, France) in sixteen 22-month-old Sprague Dawley rats fed by total continuous enteral infusion for 7 days. Body weight, stool weight, and nitrogen balance were measured daily. After death, muscle weight, plasma levels of amino acids, tissue protein, and amino acid content were measured. The ESF curbed weight loss, improved cumulative nitrogen balance, and increased jejunum protein content. Plasma levels of threonine, leucine, and isoleucine and the sum of total amino acids were higher in ESF-fed than in SF-fed rats. Threonine and isoleucine content in the soleus and gastrocnemius were higher in ESF-fed rats than SI-fed ones. ESF improved intestinal transit. Thus, in old rats, the ESF favored nutritional status more than a standard formula.
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".