A Systematic Review of Food Protein-Induced Enterocolitis Syndrome
Bibliographic record
Abstract
Food protein-induced enterocolitis syndrome (FPIES) is a non-IgE-mediated gastrointestinal food-induced hypersensitivity disorder that occurs mostly in infants. Long considered a rare disease, a recent increase in physician awareness and publication of diagnosis of guidelines has resulted in an increase in recognized FPIES cases. We aimed to conduct a systematic review of FPIES studies in the past 10 years. A search was conducted on PubMed and Embase in March 2022. Our systematic review focused on 2 domains: (1) the most reported FPIES food triggers; and (2) the resolution rate and median age at resolution of patients with FPIES. We found that cow's milk was the most reported trigger globally. Patterns of the most common triggers varied by country, with fish being one of the most common triggers in the Mediterranean region. We also found that the rate and median age of resolution varied by trigger. Patients with FPIES to cow's milk acquired tolerance at a younger age (most by age 3 years), while fish-FPIES was more persistent (mean resolution by age 37 months-7 years). Overall, many studies found a resolution rate of 60% for any food.
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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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.005 |
| Bibliometrics | 0.010 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".