MétaCan
Menu
Back to cohort
Record W2333792889 · doi:10.5114/ceji.2013.37760

Rapid push: new opportunities in subcutaneous immunoglobulin replacement therapy

2013· article· en· W2333792889 on OpenAlexaboutno aff
Małgorzata Pac, Ewa Bernatowska

Bibliographic record

VenueCentral European Journal of Immunology · 2013
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunodeficiency and Autoimmune Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAntibodyImmunoglobulin GImmunology

Abstract

fetched live from OpenAlex

Primary antibody deficiencies (PAD) are the largest group of primary immunodeficiency diseases (PID), affecting patients at various age. Affected individuals are extremely prone to serious and recurrent infections, which can led to tissue damage and premature death. Many patients require regular, life-long prophylactic treatment with immunoglobulin. For years the leading route has been intravenous infusion of immunoglobulin (IVIG). Despite its clinical benefits, IVIG is associated with some inconveniences such as travelling to hospital, difficulties obtaining vein access and systemic side effects. The alternative method to IVIG is subcutaneous immunoglobulin infusion (SCIG), introduced in the 1990s. It has become increasingly popular in recent years. This route does not require venous access, has a really low risk of systemic side effects and improves quality of life. SCIG can be administered either via programmable pump or rapid push infusion. Despite similar effectiveness and risk of adverse events the rapid push route seems to be safe and viable, providing more self-control, treatment flexibility, independence and opportunities for treatment satisfaction. Rapid push immunoglobulin infusion has recently become more popular in the USA and Canada. This route should be considered as an alternative possibility of replacement immunoglobulin therapy in patients with immunodeficiency in Europe.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.814
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.026
GPT teacher head0.208
Teacher spread0.181 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations15
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueCentral European Journal of ImmunologySame topicImmunodeficiency and Autoimmune DisordersFrench-language works237,207