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Record W4415962643 · doi:10.1080/21678421.2025.2582830

ALSUntangled #81: Pyridostigmine (mestinon <sup>®</sup> )

2025· review· en· W4415962643 on OpenAlexaboutno aff
Terry Heiman‐Patterson, Eva L. Feldman, Paul Wicks, Michael Benatar, Fernando G. Vieira, Jonathan D. Glass, Todd Levine, Tulio E. Bertorini, Paul E. Barkhaus, Javier Mascías Cadavid, Carlayne E. Jackson, Sartaj Jhooty, Andrew Brown, Gary L. Pattee, Hemangi Sane, Christopher McDermott, Gregory Carter, Morgan Beauchamp, Olivia Wang, Dylan Ratner, Richard Bedlack, Xiaoyan Li

Bibliographic record

VenueAmyotrophic Lateral Sclerosis and Frontotemporal Degeneration · 2025
Typereview
Languageen
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsnot available
FundersHope FoundationALS Hope Foundation
KeywordsPyridostigminePyridostigmine BromideNeuromuscular junctionNeuromuscular transmissionMyasthenia gravisCholinergicAcetylcholine

Abstract

fetched live from OpenAlex

, Bausch Health, Canada Inc.) increases acetylcholine availability at the neuromuscular junction, enhancing transmission. Preclinical studies suggest that neuromuscular junction dysfunction develops early in ALS, and pyridostigmine may temporarily improve neuromuscular transmission. However, altered neuromuscular junction transmission has uncertain benefits in ALS progression. Pyridostigmine does not have other plausible mechanisms that truly modify ALS pathophysiology. People with ALS (PALS) who have positive acetylcholine receptor autoantibodies and no myasthenia symptoms are unlikely to respond to pyridostigmine treatment. Clinical trials on pyridostigmine in PALS are lacking, but two clinical trials of other similar anticholinesterase agents did not effectively slow ALS progression. Muscarinic cholinergic side effects, including gastrointestinal symptoms, are common. Given the lack of mechanistic plausibility and efficacy, we do not support the use of pyridostigmine for slowing ALS progression.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.024
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0240.011

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 head0.066
GPT teacher head0.322
Teacher spread0.256 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations0
Published2025
Admission routes1
Has abstractyes

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