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Record W4405824974 · doi:10.1186/s12891-024-08220-4

Sensory neuropathy in patients with Pompe disease: a case series in Iran

2024· article· en· W4405824974 on OpenAlexaff
Marzieh Babaee, Shima Dehdahsi, Hanns Lochmüller, Mohamad Hassan Bahrami, Vahide Zeinali, Seyed Mansoor Rayegani

Bibliographic record

VenueBMC Musculoskeletal Disorders · 2024
Typearticle
Languageen
FieldMedicine
TopicLysosomal Storage Disorders Research
Canadian institutionsOttawa HospitalChildren's Hospital of Eastern OntarioUniversity of Ottawa
Fundersnot available
KeywordsMedicineSports medicineRheumatologySensory neuropathyDiseasePhysical medicine and rehabilitationRehabilitationOrthopedic surgeryPain medicineNeurologyEpidemiologyPhysical therapySeries (stratigraphy)Musculoskeletal diseaseInternal medicineSurgeryPathologyAnesthesiologyPsychiatry

Abstract

fetched live from OpenAlex

Pompe disease is a glycogen storage disease primarily affecting striated muscles. Despite its main manifestation in muscles, patients with Pompe disease may exhibit non-muscle symptoms, such as hearing loss, suggesting potential involvement of sensory organs or the nervous system due to glycogen accumulation. This study aimed to evaluate the presence of concomitant small and large fiber neuropathy in patients with Pompe disease. In this case series study, nine patients with Pompe disease without complaints of neuropathy were evaluated. Small fiber neuropathy was assessed using the Small Fiber Neuropathy Screening List (SFNSL) and SUDOSCAN R , while the sympathetic system was evaluated through Sympathetic Skin Response (SSR), and large fiber neuropathy was assessed through electrodiagnostic findings. Small fiber neuropathy was detected in seven patients (77.8%) according to the SFNSL. Three patients (3/9, approximately 30%) exhibited positive electrophysiological tests, including SSR, SUDOSCAN R , and nerve conduction studies for neuropathy. They also had positive SFNSL results. This study indicates that neuropathy can be a comorbid condition in Pompe disease, emphasizing the importance of screening for this disabling condition.

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)0.001
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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.014
GPT teacher head0.278
Teacher spread0.264 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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