Challenges in Differentiating Between Solitary Rectal Ulcer Syndrome and Inflammatory Bowel Disease in the Pediatric Population
Bibliographic record
Abstract
Solitary rectal ulcer syndrome (SRUS) is a benign rectal disease that is rare in pediatric populations due to its underdiagnosis and misdiagnosis in children. It is often misdiagnosed as malignancy, Crohn’s disease, and ulcerative colitis due to its wide and varying clinical presentations. Both SRUS and inflammatory bowel disease (IBD) can present with rectal bleeding, constipation, diarrhea, and abdominal pain. Furthermore, macroscopic ulcers and inflammation can be seen in both diseases, making it difficult to diagnose without a biopsy. We present two cases in the pediatric population whose diagnoses of SRUS were delayed because the symptoms and macroscopic findings initially supported the differential diagnosis of IBD. These cases emphasize the difficulty and importance of differentiating between IBD and SRUS, and should encourage practitioners to include this differential diagnosis earlier on to improve diagnostic accuracy and begin implementing effective treatment. This can eventually decrease overall treatment time, unnecessary surgeries and diagnostic testing, and increase the emotional reassurance of the benign nature of the disease. Int J Clin Pediatr. 2021;10(2-3):57-63 doi: https://doi.org/10.14740/ijcp422
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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 | 0.006 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".