Clinical Features of Spontaneous Isolated Dissection of Abdominal Visceral Arteries
Bibliographic record
Abstract
BACKGROUND: Spontaneous isolated dissection of abdominal visceral arteries without aortic dissection is rare and its pathology and prognosis are not yet clear; therefore, therapeutic strategies for this disease have not been established. The present multi-institution investigational study analyzed the clinical features of patients with spontaneous isolated dissection of abdominal visceral arteries. METHODS: A total of 36 patients diagnosed as spontaneous isolated dissection of abdominal visceral arteries from January 2010 to October 2016 were enrolled. The medical data of the patients were retrospectively reviewed. Imaging characteristics were evaluated. Spontaneous isolated dissection of abdominal visceral arteries was detected on upper abdominal computed tomography examination in almost patients, and was detected on magnetic resonance imaging in one patient. RESULTS: Of the 36 cases, 26 cases involved the superior mesenteric artery dissection, nine involved the celiac artery, two involved the splenic artery, one involved the common hepatic artery, one involved the gastroduodenal artery and one involved the left gastric artery. Among the 36 patients, 20 had hypertension and 14 were current smokers. Additionally, only one patient had diabetes and four patients had dyslipidemia. Moreover, 32 cases complained of pain including abdominal pain and back pain, one had cough and three had no symptoms. Of the 36 patients, 34 cases (94.4%) were treated conservatively, and two (5.6%) required intravascular treatment. All patients were discharged without complications. CONCLUSIONS: Our findings indicate that hypertension and smoking might be closely involved in the pathogenesis of spontaneous isolated dissection of abdominal visceral arteries, whereas dyslipidemia and diabetes might be less involved. Additionally, few asymptomatic patients were accidentally diagnosed, indicating that the absence of symptoms cannot be used to rule out the presence of this disease. Randomized clinical trials cannot be performed because a considerable number of cases are required. Therefore, detailed descriptions of clinical features, as provided in our report, are important.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".