Clustering of Allergic Outcomes within Families and Households in Areas Endemic for Helminth Infections
Bibliographic record
Abstract
BACKGROUND: Allergy and helminth infections share key immunological features in terms of Th2 responses. Although in industrialized countries clustering of allergic disorders within families has been frequently reported, such information is lacking from areas where helminth infections are endemic. METHODS: A total of 466 subjects from 29 families and 112 households participated in this study. Filarial infection, skin test reactivity and IgE to mite as well as total IgE were measured in all samples. Clustering of the allergy-related outcomes due to genetic and household factors was tested. RESULTS: Genetic factors contributed significantly to the clustering of total IgE and allergen-specific IgE, whereas only household factors contributed to the clustering of SPT positivity. CONCLUSION: Similar to several studies conducted in western populations, total IgE and allergen-specific IgE are influenced by genetic factors in a population resident in a helminth endemic area. However, clustering of SPT positivity due to genetic factors was not significant in the current study raising the question of whether the presence of helminth infections may override genes that are associated with the expression of tissue reactivity to allergens in the west.
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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 | 0.001 | 0.002 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".