Bibliographic record
Abstract
Portal hypertension elevates splenic venous outflow pressure, which initiates a splenorenal reflex increase in renal sympathetic nerve activity and a reduction in renal blood flow. Portal hypertension also causes an increase in mesenteric vascular pressure. We hypothesized the associated rise in splenic venous pressure might initiate a spleno-intestinal neural reflex to increase mesenteric vascular tone and reduce the flow of blood into the plethoric mesenteric vascular bed. The splenic vein was partially occluded so as to increase splenic venous pressure from 8.6±0.5 mmHg to 21.3±0.5 mmHg (n=14). This caused a significant fall in both portal venous flow (PVF) (−2.6±0.4 mL/min, n=7) and mesenteric vascular conductance (−0.0139±0.003 mmHg/mL·min−1). Splenic denervation significantly attenuated the fall in PVF (−0.67±0.1 mL/min, n=7) and in mesenteric vascular conductance (−0.003±0.001 mmHg/mL·min−1). Detailed analysis of the initial 3 minute period following splenic venous occlusion revealed that splenic denervation abolished the immediate drop in both PVF and mesenteric conductance, an effect not attributable to changes in systemic blood pressure (p<0.001). We conclude that elevated splenic venous pressure reflexly increases mesenteric arterial tone. We propose that this is mediated through the splenic afferent and mesenteric efferent nerves. (HSFC,CIHR)
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 | 0.000 |
| 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) | 0.002 | 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".