Oral immunotherapy for <scp>IgE</scp> ‐mediated cow's milk allergy: a systematic review and meta‐analysis
Bibliographic record
Abstract
Cow's milk is a common cause of food allergy in children. Children usually outgrow cow's milk allergy by the age of 3-5 years, but some will have persistent symptoms beyond childhood. We performed a systematic review of randomized controlled trials (RCTs) and observational studies to assess the evidence supporting the use of oral immunotherapy in IgE-mediated cow's milk allergy to inform the World Allergy Organization guidelines. Of 1034 screened articles published until May 2011, five RCTs and five observational studies fulfilled a priori specified inclusion criteria. RCTs including 218 patients showed that oral immunotherapy, compared to elimination diet alone, increased the likelihood of achieving full tolerance of cow's milk [relative risk: 10.0 (95% CI: 4.1-24.2)]. Adverse effects of immunotherapy include frequent local symptoms (16% of doses), mild laryngospasm [relative risk: 12.9 (1.7-98.6)], mild asthma [rate ratio: 3.8 (2.9-5.0)], reactions requiring oral glucocorticosteroids [relative risk: 11.3 (2.7-46.5)] or intramuscular epinephrine injection [rate ratio 5.8 (1.6-21.9)]. Results of observational studies were consistent with those of RCTs. Despite the availability of RCTs, the overall low quality of evidence leaves important uncertainty about anticipated effects of immunotherapy due to very serious imprecision of the estimates of effects and the likelihood of publication bias for some of the critical outcomes. A potentially large benefit of oral immunotherapy in patients with cow's milk allergy may be counterbalanced by frequent and sometimes serious adverse effects. Additional, larger RCTs measuring all patient-important outcomes are still needed.
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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 | 0.012 | 0.026 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.020 | 0.031 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".