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Record W2979830785 · doi:10.14740/jnr.v9i4-5.552

Chronic Inflammatory Demyelinating Polyradiculoneuropathy Association With Low Cholesterol Levels: A Case Report in a Patient Taking PCSK9 Inhibitor

2019· article· en· W2979830785 on OpenAlexvenueno aff
Diana Carolina Franco, Neelam Neupane, Maria Riaz, Sanaz Mohammadzadeh, Issac Sachmechi

Bibliographic record

VenueJournal of Neurology Research · 2019
Typearticle
Languageen
FieldMedicine
TopicPeripheral Neuropathies and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePolyradiculoneuropathyDyslipidemiaStatinInternal medicineWeaknessSurgeryPediatricsDiseaseGuillain-Barre syndrome

Abstract

fetched live from OpenAlex

A 57-year-old woman with history of prediabetes and dyslipidemia treated with PCSK9 inhibitors due to statin intolerance presented to the clinic with complaints of bilateral thigh pain, weakness and numbness. During the physical exam, the patient exhibited stocking loss of vibratory and cold temperature sensation in both legs, absent ankle reflexes and tandem imbalance with normal cranial nerve functions. After all the clinical studies, the patient was diagnosed with chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) as an exclusion diagnosis. A link with medications (Praluent) was determined to be the most possible offending agent. With this case, we present a rare case of CIDP in the setting of low level of low-density lipoprotein cholesterol (LDL-C) due to PCSK9 inhibitors. This case opens the door to a new and unrecognized adverse effect of this type of medication. J Neurol Res. 2019;9(4-5):72-74 doi: https://doi.org/10.14740/jnr552

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 score0.005
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.002
Science and technology studies0.0030.002
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.027
GPT teacher head0.322
Teacher spread0.295 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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