Growth Abnormalities Persist in Newly Diagnosed Children With Crohn Disease Despite Current Treatment Paradigms
Bibliographic record
Abstract
OBJECTIVES: We analyzed growth outcomes in children newly diagnosed with Crohn disease and determined whether growth abnormalities persist despite current therapies. PATIENTS AND METHODS: Clinical and growth data were prospectively obtained on an inception cohort younger than 16 years old at diagnosis and Tanner I to III during the study. RESULTS: In all, 176 children (mean age 10.1 years; 65% male) with mild (33%) or moderate/severe (67%) disease at diagnosis were studied. Disease activity at 1 year was inactive/mild (89%) or moderate/severe (11%). First-year treatments included immunomodulators (60%), corticosteroids (77%), 5-aminosalicylates (61%), infliximab (15%), and enteral nutrition (10%). By 2 years, 86% had received immunomodulators and 36% infliximab. Mean height z scores at diagnosis, 1 year, and 2 years were -0.49 +/- 1.2 standard deviations (SDs), -0.50 +/- 1.2, and -0.46 +/- 1.1, respectively. Of the subjects, 10%, 8%, and 6.5% had height z scores less than -2 SD at diagnosis, 1 year, and 2 years. A height velocity z score less than -1SD was seen in 45% of subjects at 1 year and 38% at 2 years. The mean height velocity z score, however, increased between 1 and 2 years from -0.71 to 0.26 (P < 0.03). Corticosteroid use greater than 6 months in the first year was associated with abnormal height velocity at 1 year (adjusted odds ratio = 4.5; 95% confidence interval [CI] = 2.2-9.6). No statistically significant effect on height velocity z scores was noted when comparing those receiving or not receiving infliximab. CONCLUSIONS: Growth delay persists in many children with CD following diagnosis, despite improved disease activity and the frequent use of immunomodulators and biologics. Additional strategies to improve growth outcomes require development.
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 | 0.004 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".