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Record W2035331954 · doi:10.1002/mus.21051

Lewis–Sumner syndrome associated with infliximab therapy in rheumatoid arthritis

2008· article· en· W2035331954 on OpenAlexaff
Davyd R. Hooper, Mark A. Tarnopolsky, Steven K. Baker

Bibliographic record

VenueMuscle & Nerve · 2008
Typearticle
Languageen
FieldMedicine
TopicPeripheral Neuropathies and Disorders
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineInfliximabRheumatoid arthritisWeaknessTumor necrosis factor alphaMuscle weaknessInternal medicineSurgery

Abstract

fetched live from OpenAlex

We report 2 cases of Lewis-Sumner syndrome (LSS) diagnosed in patients suffering from rheumatoid arthritis undergoing treatment with the antitumor necrosis factor alpha (TNF-alpha) monoclonal antibody infliximab. While experiencing clinical improvement in their arthritic symptoms, both patients experienced sensory deficits and weakness in multiple nerve distributions. They had electrodiagnostic evidence of motor conduction block and subsequent improvement with intravenous immunoglobulin (IVIg). We describe the details of the cases and review the literature on immune-mediated neuropathies associated with anti-TNF-alpha therapy.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.222
Teacher spread0.204 · 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 designCase report
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

Citations32
Published2008
Admission routes1
Has abstractyes

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