Superior gluteal vein syndrome: an intrapelvic cause of sciatica
Bibliographic record
Abstract
Abstract The role of malformed or dilated branches of iliac vessels in causing pelvic pain is not well understood. Such vessels may entrap nerves of the lumbosacral (LS) plexus against the pelvic sidewalls, producing symptoms not typically encountered in gynecological practice, including sciatica and refractory urinary and/or anorectal dysfunction. We describe cases of sciatica in which laparoscopy revealed compression of the LS plexus by variant superior gluteal veins (SGVs). In demonstrating an improvement in patient symptoms after decompression, we identify this neurovascular conflict as a potential intrapelvic cause of sciatica. This study is a retrospective case series (Canadian Task Force Classification II-3). Nerve decompression laparoscopies were performed in São Paulo, Brazil. Thirteen female patients undergoing laparoscopy for sciatica with no clear spinal or musculoskeletal causes were included in this study. In all cases, we identified LS entrapment by aberrant SGVs, and performed decompression by vessel ligation. The average preoperative visual analog scale score of 9.62 ± 0.77 decreased significantly to 2.54 ± 2.88 post-operatively (P < 0.001). The success rate (defined as ≥ 50% improvement in visual analog scale score) was 92.3%, over a follow-up of 13.2 ± 10.6 months. Our case series demonstrates a high success rate and significant decrease in pain scores after laparoscopic intrapelvic decompression, thereby identifying pelvic nerve entrapment by aberrant SGVs as a potential yet previously unrecognized cause of sciatica. This intrapelvic neurovascular conflict—the SGV syndrome—should be considered in cases of sciatica with no identifiable spinal or musculoskeletal etiology.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".