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Record W2154660298 · doi:10.1136/pgmj.2009.080630

Primary immunodeficiency diseases: a practical guide for clinicians

2009· review· en· W2154660298 on OpenAlexaff
Stuart E. Turvey, Franciso A. Bonilla, Anne Junker

Bibliographic record

VenuePostgraduate Medical Journal · 2009
Typereview
Languageen
FieldImmunology and Microbiology
TopicImmunodeficiency and Autoimmune Disorders
Canadian institutionsChild and Family Research InstituteBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsPrimary immunodeficiencyMedicineImmunodeficiencyImmune systemImmunologic Deficiency SyndromesMalignancyDysfunctional familyDiseaseImmunologyIntensive care medicineAutoimmunityHuman immunodeficiency virus (HIV)PediatricsInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Primary immunodeficiency diseases (PIDs) are genetically determined disorders of the immune system resulting in greatly enhanced susceptibility to infectious disease, autoimmunity and malignancy. While individual PIDs are rare, as a group, it is estimated that between 1:2000 and 1:10 000 live births are affected by a PID. Moreover, PIDs can present at any age from birth to adulthood, posing a considerable challenge for the practising physician to know when and how to work-up a patient for a possible immune defect. In this review, we outline the basic organisation of the human immune system and the types of infections that occur when elements of the immune system are dysfunctional. Importantly, we provide practical guidelines for identifying patients who should be referred for assessment of possible immunodeficiency and an overview of screening investigations and effective therapeutic options available for these patients.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.022
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0020.004
Open science0.0020.002
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0220.038

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 head0.044
GPT teacher head0.385
Teacher spread0.341 · 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 designNot applicable
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

Citations46
Published2009
Admission routes1
Has abstractyes

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