Bibliographic record
Abstract
PURPOSE OF REVIEW: The purpose is to review evidence from recent clinical trials that focus on early life interventions to prevent the onset of eczema and food allergy. RECENT FINDINGS: There is evidence that skin barrier defects may be a risk factor for the development of eczema and may increase the risk of early onset food sensitization and allergy. The measurement of transepidermal water loss as a marker of skin barrier defect may be a simple, noninvasive measurement that may predict who is at risk of eczema, however, the protective effects of daily moisturizer application in high-risk infants remains unclear.Although there is increased attention on the role of intestinal microbiota and its influence on sensitization, there is limited evidence to support the preventive effects of probiotics on allergic diseases.Recent clinical trials have provided much needed evidence supporting the early introduction of peanut in the primary and secondary prevention of peanut allergy in high-risk children. There still remain unanswered questions and challenges regarding protocols and implementation of current recommendations. SUMMARY: Although progress has been considerable, the fact is that there are no simple strategies to prevent the development of eczema and food allergy in infants. Physicians must remain informed of the dynamic evidence in allergy prevention to make responsible, informed recommendations to families.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".