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Record W2315028040 · doi:10.1017/s031716710001057x

Lack of Motor Progression in Isolated Sensory Peripheral Neuropathy

2010· article· en· W2315028040 on OpenAlexaffvenue
Sameer Chhibber, Cory Toth

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2010
Typearticle
Languageen
FieldMedicine
TopicBotulinum Toxin and Related Neurological Disorders
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsSensory systemPeripheral neuropathyPeripheralMedicinePhysical medicine and rehabilitationNeuroscienceAction (physics)PsychologyAudiologyInternal medicinePhysicsEndocrinology

Abstract

fetched live from OpenAlex

Nerve conduction studies (NCS) and electromyography (EMG) studies are critical for the detection, diagnosis, and characterization of peripheral neuropathy (PN).Although NCS and EMG abnormalities are often compared to clinical findings, these data are not always concordant.Examples of this discordance include patients with small fiber PN having severe deficits of nociceptive and thermal function but normal NCS 1 , or patients with Charcot-Marie-Tooth disease type 1A with minimal symptoms but florid NCS changes 2,3 .The utility of using NCS/EMG for prediction of later clinical outcomes is also unclear in many forms of PN [4][5][6] .We prospectively identified and followed patients with isolated sensory PN (ISPN) based upon a lower limb stocking pattern of sensory loss for nociception, thermal sensation, vibration threshold and/or proprioception with initially normal motor strength, tone, reflexes and muscle bulk.The objective of this study was to determine if patients with initial ISPN go on to develop clinical and or electrophysiologic progression of motor deficits.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.038
GPT teacher head0.305
Teacher spread0.266 · 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
Published2010
Admission routes2
Has abstractyes

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