Nutcracker syndrome in a 20-year-old patient treated with intravascular stent placement: a case report.
Bibliographic record
Abstract
INTRODUCTION: Nutcracker syndrome (NCS) is a rare condition characterized by the entrapment of the left renal vein (LRV) between the superior mesenteric artery (SMA) and the aorta. It was first described in 1950 and the term nutcracker was attributed by de Schepper in 1972. CLINICAL CASE: A 20-year-old female patient was admitted to the urology department with a history of hematuria and left flank pain. Basic hematuria investigation was inconclusive. Further investigation revealed a nutcracker syndrome on retrograde phlebography. Surveillance was the option first chosen. Three years later and after several symptomatic episodes, an intravascular stenting procedure was performed. DISCUSSION: NCS is defined by the compression of the LRV between the SMA and the aorta. Clinical manifestations include left flank pain, hematuria and pelvic congestion syndrome (PCS). Diagnosis is based on history, physical examination, basic lab tests and imaging. Sequence of tests can be composed of Doppler ultrasound (DUS), computed tomography scan (CT scan) or magnetic resonance imaging study (MRI) and retrograde phlebography with pressure gradient to confirm the diagnosis. Management options include surveillance, intravascular and extravascular stenting procedures as well as open procedures. CONCLUSION: NCS is a rare condition that represents a challenge for urologists in terms of accurate diagnosis and proper management.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.007 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".