Incidental Splenic Leiomyoma in a Child Uncovered During Workup for Eosinophilic Gastroenteritis
Bibliographic record
Abstract
Eosinophilic gastroenteritis (EGE) is a rare, heterogeneous inflammatory disorder characterized by eosinophilic infiltration of the gastrointestinal tract in the absence of secondary causes. Clinical presentation is variable and often mimics other gastrointestinal conditions, making diagnosis challenging. Splenic leiomyoma, in contrast, is a rare benign smooth muscle tumor, typically reported in immunocompromised patients. Pediatric cases are exceedingly uncommon. We describe a 9-year-old boy presenting with persistent diarrhea and peripheral blood eosinophilia. Endoscopy showed esophageal furrowing, gastric and colonic erythema, and biopsies demonstrated marked eosinophilic infiltration in multiple gastrointestinal sites, consistent with EGE. During work-up, an abdominal ultrasound identified a well-defined splenic mass. Splenectomy revealed a solitary spindle cell tumor composed of bland smooth muscle fibers, diffusely positive for desmin and smooth muscle actin, and negative for C-Kit, CD34, and S100, confirming the diagnosis of splenic leiomyoma. The coexistence of EGE and splenic leiomyoma in an immunocompetent pediatric patient is highly unusual. While the splenic lesion may represent an incidental finding, its occurrence in a child with an inflammatory gastrointestinal disorder raises the possibility of broader clinical contexts for splenic leiomyoma beyond immunodeficiency. This case expands the clinical spectrum of splenic leiomyoma and underscores the importance of thorough investigation in children with persistent gastrointestinal symptoms. We present the first reported case of EGE associated with an incidental splenic leiomyoma in an immunocompetent child. Documentation of such cases contributes to understanding the spectrum, pathogenesis, and potential associations of this rare tumor.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".