Quality of life in insect venom allergic patients
Bibliographic record
Abstract
PURPOSE OF REVIEW: As re-sting rates and mortality in Hymenoptera allergy are generally low, health related quality of life is an important therapeutic target in the treatment of allergic patients. This review focuses on the impact of anaphylactic reactions and the effect of interventions in health related quality of life for Hymenoptera allergic patients. RECENT FINDINGS: Anaphylactic reactions following insect stings can have a great impact on the quality of life of insect sting allergic patients. Venom immunotherapy, with information about the risks and benefits of the treatment, was shown to improve health related quality of life. There were no patients whose health related quality of life was so severely impaired that they did not improve with venom immunotherapy. Treatment with an Epipen (ALK-Abello, Nieuwegein, The Netherlands) resulted in a deterioration in health related quality of life. SUMMARY: These findings suggest that patient education of these risks and benefits is as important as the treatment itself in order to achieve all the important therapeutic goals of venom immunotherapy. For most patients the Epipen is insufficient as definitive treatment from a quality of life point of view. Although the low mortality, morbidity and re-sting frequency in Hymenoptera allergic patients has led some authorities to conclude that many patients are treated unnecessarily, this conclusion is refuted by the fact that venom immunotherapy improves health related quality of life in the vast majority of patients receiving this treatment, even if they are not re-stung.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".