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Quality of life in insect venom allergic patients

2003· review· en· W2009070927 on OpenAlexaff
Joanne N.G. Oude Elberink, A. E. J. Dubois

Bibliographic record

VenueCurrent Opinion in Allergy and Clinical Immunology · 2003
Typereview
Languageen
FieldMedicine
TopicFood Allergy and Anaphylaxis Research
Canadian institutionsOttawa Public Health
Fundersnot available
KeywordsMedicineStingQuality of life (healthcare)AllergyAnaphylaxisImmunotherapyAnaphylactic reactionsIntensive care medicineVenomImmunologyNursingImmune system

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.977
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.281
GPT teacher head0.495
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designOther design
Domainnot available
GenreReview

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".

Quick stats

Citations54
Published2003
Admission routes1
Has abstractyes

Explore more

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