MétaCan
Menu
Back to cohort
Record W2109380539 · doi:10.1586/14737167.6.5.563

Systemic lupus erythematosus: clinical manifestations, treatment and economics

2006· article· en· W2109380539 on OpenAlexaff
Pantelis Panopalis, Ann E. Clarke

Bibliographic record

VenueExpert Review of Pharmacoeconomics & Outcomes Research · 2006
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsMcGill University Health CentreMontreal General Hospital
Fundersnot available
KeywordsMedicineIntensive care medicineDiseaseSystemic lupus erythematosusPopulationMultisystem diseaseImmunologyInternal medicine

Abstract

fetched live from OpenAlex

Systemic lupus erythematosus (SLE) is a complex, multisystem disease that is characterized by variable and unpredictable manifestations that are often life-threatening. Although the prognosis has improved dramatically over the past 50 years, individuals with SLE still experience considerable morbidity and undue mortality. Furthermore, since SLE affects a predominantly young population at a critical time in their lives when they are establishing careers and starting families, the economic burden to society can be immense. Only three medications have ever received US FDA approval for use in the treatment of SLE and none have received FDA approval for over 25 years. Currently used therapies may have improved the prognosis but often have undesirable side effects, such as infertility, bone-marrow suppression and infection. Recent advances in our understanding of the disease pathogenesis, coupled with progress in drug development, have led to new therapeutic strategies that will potentially offer an improved side-effect profile and improved efficacy, but will almost certainly be much more expensive than current treatments.

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)0.004
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.066
GPT teacher head0.524
Teacher spread0.457 · 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

Citations8
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueExpert Review of Pharmacoeconomics & Outcomes ResearchSame topicSystemic Lupus Erythematosus ResearchFrench-language works237,207