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Record W2055944979 · doi:10.1186/1710-1492-10-s1-a10

Administration and burden of subcutaneous immunotherapy for allergic rhinitis in clinical practice in Canada

2014· article· en· W2055944979 on OpenAlexvenueaboutno aff
Steven W. Blume, Karen Yeomans, Harold Kim, Sunning Tao, Stephanie M Hubbard, Felicia Allen‐Ramey

Bibliographic record

VenueAllergy Asthma and Clinical Immunology · 2014
Typearticle
Languageen
FieldMedicine
TopicAllergic Rhinitis and Sensitization
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineImmunotherapyAdministration (probate law)Food and drug administrationClinical PracticeImmunologyDermatologyFamily medicinePharmacologyImmune systemPolitical science

Abstract

fetched live from OpenAlex

Allergic rhinitis (AR) has been estimated to affect approximately 20–25% of Canadians. [ 1 ] Management of AR encompasses allergen avoidance, use of symptomatic medications, and allergen immunotherapy for patients unresponsive to other pharmacotherapy. [ 2 , 3 ] This study was conducted to characterize patients receiving subcutaneous immunotherapy (SCIT) and the SCIT administration process in Canada and the United States; Canadian results are presented. A multi-center, prospective, observational study was conducted at 5 allergy clinics in Quebec and Ontario and 1 primary care clinic in Quebec from March-September 2012. Patients ≥6 years who were scheduled for SCIT on study days were invited to participate in the study. Patients enrolled in a clinical trial, receiving sublingual immunotherapy or allergic only to insect venom, latex, food, or drugs were excluded. Site and patient-specific information were captured via direct observation, questionnaires, and medical chart review. Costs were estimated from time and supply observation and query. A total of 294 patients were enrolled with a mean age of 44 years (4% <18 years and 9% ≥65 years). Of these, 59% were female, 81% Caucasian, 57% employed full-time and 30% reported household income ≥$100,000. Concomitant allergy medications were reported by 66% of patients; 25% used asthma medications. Two-thirds of patients reported initiating SCIT because they desired a cure “once and for all” for their allergies. Primary symptoms at initiation of SCIT were nasal congestion (62%), rhinorrhea (59%), sneezing (35%) and itchy eyes (32%). Chart data indicated that patients received treatment for several different antigens (mean: 4; SD: 3); those most commonly noted were ragweed (82%), house dust mites (55%), grass (48%) and tree (48%). Sites reported a SCIT build-up phase requiring one injection/week over 12-52 weeks. The SCIT maintenance phase was reported as one injection/month over 4-5 years. Site-specific means (SDs) for total patient time in the clinic for SCIT ranged from 32 (11) to 49 (10) minutes, including a 30-minute required post-injection observation at all but one site. Average patient travel time to the office for SCIT was 20 (SD: 14) minutes. Mean time missed from work in the previous week was 0.7 hours. The direct costs of an injection ranged from $14 to $41 by site, with extract preparation or acquisition and administrative tasks the largest components. Patients initiated SCIT to permanently resolve allergy symptoms. SCIT requires a long-term commitment, resulting in considerable direct and indirect costs.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.332

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.005
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.016
GPT teacher head0.317
Teacher spread0.301 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations1
Published2014
Admission routes2
Has abstractyes

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