MétaCan
Menu
Back to cohort
Record W2112328159 · doi:10.1191/096120301677213822

Update on therapy — thalidomide in the treatment of lupus

2001· review· en· W2112328159 on OpenAlexaff
Mohammed Yousuf Karim, Guillermo Ruiz‐Irastorza, Munther A. Khamashta, G R Hughes

Bibliographic record

VenueLupus · 2001
Typereview
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsWomen's Health Research Institute
Fundersnot available
KeywordsThalidomideMedicineDiscontinuationSystemic lupus erythematosusRefractory (planetary science)DermatologyCutaneous Lupus ErythematosusSide effect (computer science)PregnancyLupus erythematosusSurgeryInternal medicineMultiple myelomaDiseaseImmunologyAntibody

Abstract

fetched live from OpenAlex

Thalidomide has been shown to be an effective treatment for cutaneous forms of lupus erythematous refractory to other therapies. Thalidomide has very serious side effects, including teratogenicity and neuropathy, which limit its clinical use in lupus to such severe refractory cases. Efficacy has been confirmed in several studies, although recurrence after discontinuation of treatment is frequent. More recent experience suggests that lower doses than originally used may be effective, which may result in a reduction in side effects. Much effort has been expended in studying the mechanisms of action of thalidomide, although as yet it is unclear which of the mechanisms identified to date contribute to its efficacy in treating cutaneous forms of lupus erythematosus. Identification of patients suitable for thalidomide therapy requires a rigorous selection process. Potential side effects should be clearly explained, particularly teratogenicity as many patients are young women. Written consent and a negative pregnancy test must be obtained prior to commencement of therapy. Reliable contraceptive measures should be strictly observed by patients taking thalidomide. Close clinical and neurophysiological supervision using nerve conduction studies should be undertaken.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.992
Threshold uncertainty score0.808

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.119
GPT teacher head0.409
Teacher spread0.290 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations33
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueLupusSame topicMultiple Myeloma Research and TreatmentsFrench-language works237,207