Bibliographic record
Abstract
Renal artery stenosis is becoming increasingly common because of atherosclerosis in an ageing population. Patients usually present with hypertension and varying degrees of renal impairment, although silent renal artery stenosis may be present in many patients with vascular disease. Despite improvements in diagnostic and interventional techniques, controversy remains over whether, when, and how to revascularise the kidneys of patients with renal artery stenosis. #### Charac teristics of renal artery stenosis ##### Fibromuscular dysplasia ##### Atherosclerosis The pathophysiology of unilateral renal artery stenosis provides a clear example of how hypertension develops. Narrowing of the renal artery, due to atherosclerosis or, rarely, fibromuscular dysplasia, leads to reduced renal perfusion. The consequent activation of the renin-angiotensin system causes hypertension (mediated by angiotensin II), hypokalaemia, and hyponatraemia (which are features of secondary hyperaldosteronism). Although these features may be reversed by correcting the stenosis, a classic presentation is uncommon, and hypertension is rarely cured in patients with atheromatous renal artery stenosis. In addition, it is now known that renal artery stenosis is underdiagnosed and may present as a spectrum of disease from secondary hypertension to end stage renal failure, reflecting variation in the underlying disease process. Thus, the presence of overt, or coincidental, renal artery stenosis usually reflects widespread vascular disease, with the associated implications for cardiovascular risk and patient survival. Atheromatous lesions may affect different sized vessels within the kidney, and multiple lesions may exist. The site limits the potential for revascularisation; only lesions within the large vessels are amenable. The commonest site, at the ostium of the renal artery, is more effectively treated by stenting. Ulcerated atheromatous plaques may also generate cholesterol microemboli (particularly after vascular intervention) #### Prevalence of atheromatous renal artery stenosis
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.029 | 0.009 |
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".