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Record W2939918710 · doi:10.1002/mus.26488

Updated cerebrospinal fluid total protein reference values improve chronic inflammatory demyelinating polyneuropathy diagnosis

2019· article· en· W2939918710 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMuscle & Nerve · 2019
Typearticle
Languageen
FieldMedicine
TopicPeripheral Neuropathies and Disorders
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsChronic inflammatory demyelinating polyneuropathyMedicineCerebrospinal fluidInternal medicineCohortGastroenterologyMedical diagnosisPolyneuropathyPolyradiculoneuropathyPathologyGuillain-Barre syndromeImmunologyAntibody

Abstract

fetched live from OpenAlex

INTRODUCTION: Recent literature has concluded that cerebrospinal fluid total protein (CSF-TP) upper reference limits (URL) should be higher than 45 mg/dl and stratified by age. METHODS: Data-driven URLs were applied to the analysis of a cohort of patients with correctly and incorrectly diagnosed chronic inflammatory demyelinating polyneuropathy (CIDP). Descriptive statistics were calculated, and exploratory analyses were used to test the impact of different CSF-TP URLs on sensitivity and specificity of CIDP diagnosis. RESULTS: The adoption of higher and age-dependent CSF-TP URLs reduced the sensitivity of CSF analysis slightly (from 95% to 84%-86%); however, the overall CIDP detection rate was unchanged. Twelve of 36 (33%) false-positive diagnoses occurred with CSF-TP elevation as the sole supportive criteria. By applying updated CSF-TP URLs, the specificity of CSF analysis increased from 39% to 57%-64%. DISCUSSION: Implementation of data-driven CSF-TP URLs improves CIDP diagnostic specificity without compromising sensitivity, thereby lessening CIDP misdiagnosis. Muscle Nerve 60: 180-183, 2019.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.850
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.010
GPT teacher head0.236
Teacher spread0.226 · 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