Bibliographic record
Abstract
Hypertension is a major public health problem globally. It is the most common cause of cardiovascular morbidities and mortalities, with a negative impact on renal function. Uncontrolled hypertension causes chronic kidney disease, which progresses to end-stage renal disease and eventually loss of renal function. Unfortunately, the mechanism underlying the pathogenesis of hypertension and its associated nephropathy is still poorly understood. Also worrying is the fact that despite conventional antihypertensive therapies, achievement of blood pressure control and preservation of renal function still remain a worldwide public health challenge in a significant subpopulation of hypertensive patients. This suggests the need for novel pharmacotherapeutic approaches to curb the problem. Hydrogen sulfide (H2S), the third established member of the gasotransmitter family after nitric oxide and carbon monoxide, has been recognized and established to possess antihypertensive and renoprotective properties, which may represent an important therapeutic alternative for hypertensive nephropathy. In this chapter, recent findings from preclinical studies about therapeutic effect of H2S against hypertensive nephropathy, and its future clinical use are discussed.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.008 |
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".