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Record W2487736606 · doi:10.17925/usn.2015.11.01.47

Chronic Inflammatory Demyelinating Polyneuropathy in Diabetes Patients

2015· article· en· W2487736606 on OpenAlexaff
Alon Abraham, Majed Alabdali, Mohammad Qrimli, Carolina Barnett, Hans Katzberg, Bruce A. Perkins, Vera Bril

Bibliographic record

VenuetouchREVIEWS in Neurology · 2015
Typearticle
Languageen
FieldMedicine
TopicPeripheral Neuropathies and Disorders
Canadian institutionsLunenfeld-Tanenbaum Research InstituteMount Sinai HospitalUniversity of TorontoUniversity Health Network
FundersEisaiGrifolsCSL BehringPfizerEli Lilly and Company
KeywordsMedicineChronic inflammatory demyelinating polyneuropathyPolyneuropathyWeaknessDiabetes mellitusPolyradiculoneuropathyPathophysiologyInternal medicineNerve conduction velocityGastroenterologySurgeryPediatricsGuillain-Barre syndromeImmunologyAntibodyEndocrinology

Abstract

fetched live from OpenAlex

Diabetes mellitus (DM) is pandemic, and is the leading global cause of polyneuropathy, most commonly, a distal symmetric sensorimotor polyneuropathy (DSP). By contrast, chronic inflammatory demyelinating polyneuropathy (CIDP) is rare, and characterized mainly by symmetrical proximal and distal muscles weakness. There are currently 15 sets of criteria using a variable combination of clinical, electrophysiologic, laboratory, and biopsy features to identify CIDP, but it is unclear if these criteria are the same in patients with and without DM. Slowed conduction velocity, a feature of demyelination, is observed in patients with type 1 DM with poor control, and the clinical characteristics of these patients differ from those who have CIDP and DM, suggesting a different pathophysiology. Treatment response rates in CIDP patients, with and without DM, are as high as 80 %, and it is recommended that treatment be started early to prevent secondary axonal loss. However, patients with type 1 DM with CIDP are far less likely to be treated than CIDP patients who do not have DM. In patients with type 1 DM with polyneuropathy who have prominent weakness or demyelination in electrophysiologic studies, a diagnosis of CIDP and a trial of therapy should be considered.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.235
Threshold uncertainty score0.807

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.020
GPT teacher head0.265
Teacher spread0.245 · 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 designObservational
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

Citations3
Published2015
Admission routes1
Has abstractyes

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