Abdominal X‐ray in Pediatric Acute Severe Colitis and Radiographic Predictors of Response to Intravenous Steroids
Bibliographic record
Abstract
BACKGROUND: Abdominal x-ray (AXR) can identify complications in acute severe colitis (ASC) and may assist in selecting high-risk children for early aggressive treatment. We aimed to describe AXR findings in pediatric ASC and to explore radiological predictors of response to intravenous corticosteroid (IVCS) therapy. METHODS: A total of 56 children with ASC were included in a multicenter, retrospective 1-year cohort study (41% boys, mean age 12.1 ± 4.2). Radiographs of responders to IVCS and those requiring second-line salvage therapy by discharge were analyzed independently by 2 blinded radiologists. RESULTS: A total of 33 responders to IVCS were compared with 23 nonresponders. The day-3 Pediatric Ulcerative Colitis Activity Index (PUCAI) score was significantly higher in nonresponders (63 ± 16 vs 46 ± 21, P = 0.001). The mean transverse colon luminal diameter was 30 ± 16 mm in responders and 38 ± 16 mm in nonresponders (P = 0.94). The upper range of transverse colonic diameter in children <12 years was ∼40 mm, whereas in older children it was 60 mm as accepted in adults. Ulcerations and megacolon seen on AXR were associated with nonresponse to IVCS (P = 0.006 and 0.064, respectively). CONCLUSIONS: The presence of mucosal ulcerations and megacolon on AXR could be considered in the risk stratification of children with ASC for early aggressive treatment, together with the previously known day-3 and day-5 Pediatric Ulcerative Colitis Activity Index scores, albumin, and C-reactive protein.
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 | 0.001 | 0.003 |
| 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) | 0.001 | 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".