Immunization History of Children with Inflammatory Bowel Disease
Bibliographic record
Abstract
BACKGROUND: Protection against vaccine-preventable diseases is important in children with inflammatory bowel disease (IBD) due to frequent immunosuppressive therapy use. The chronic relapsing nature and treatment regimen of IBD may necessitate modified timing of immunizations. OBJECTIVE: To evaluate the completeness of immunizations in children with IBD. METHODS: Immunization records of all children with IBD followed at the Alberta Children's Hospital (Calgary, Alberta) were reviewed. For children with incomplete immunization according to the province of Alberta schedule, the reasons for such were clarified. Demographic data and age at diagnosis were also collected. RESULTS: Immunization records were obtained from 145 (79%) children with IBD. Fifteen children had incomplete routine childhood immunizations, including two with no previous immunizations. The most common incomplete immunizations included hepatitis B (n=9), diphtheria, tetanus, acellular pertussis at 14 to 16 years of age (n=7), and diphtheria, tetanus, acellular pertussis, inactivated polio at four to six years of age (n=6). The reasons for incomplete immunization included use of immunosuppressive therapy at time of scheduled immunization; IBD-related symptoms at time of scheduled immunization; parental refusal; recent move from elsewhere with different immunization schedule; unawareness of routine immunization; and needle phobia. CONCLUSIONS: Although the majority of children with IBD had complete childhood immunizations, suboptimal immunizations were present in 10%. With increasing use of immunosuppressive therapy in IBD, physicians caring for children with IBD must periodically evaluate immunization status and ensure the completeness of childhood immunizations.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".