Bibliographic record
Abstract
Severe sepsis with associated multisystem organ dysfunction is a leading cause of death in patients hospitalized in intensive care units. The gastrointestinal system plays a key role in the pathogenesis of multisystem organ dysfunction owing to a breakdown of intestinal barrier function and increased translocation of bacteria and bacterial components into the systemic circulation. During critical illness, alterations occur in gut microflora owing to several factors, including changes in circulating stress hormones, gut ischemia, immunosuppression, the use of antibiotics, and lack of nutrients. The importance of endogenous strains of probiotic bacteria such as Bifidobacterium and Lactobacillus in maintaining intestinal barrier function and also in modulating mucosal and systemic immune responses is becoming evident from numerous studies. Bacteria in synbiotic (prebiotic and probiotic combinations) and probiotic (mutistrain combinations) preparations are being used experimentally in the treatment of acute pancreatitis, liver transplantation, and in trauma patients. Recent studies have shown treatment of patients with multiple trauma or acute pancreatitis with synbiotic preparations resulted in reduced rates of infection, sepsis, and mortality in patients. Enterally fed patients in the intensive care unit treated with a probiotic compound demonstrated enhanced immune function and decreased incidence of diarrhea. Results from these clinical trials are encouraging, and warrant further investigation to clarify which probiotic bacterial strains are of most benefit to this population.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".