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Record W4292451566 · doi:10.1097/wco.0000000000001099

Clinical studies in amyotrophic lateral sclerosis

2022· review· en· W4292451566 on OpenAlexaff
Johannes Dorst, Angela Genge

Bibliographic record

VenueCurrent Opinion in Neurology · 2022
Typereview
Languageen
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsMontreal Neurological Institute and Hospital
Fundersnot available
KeywordsMedicineAmyotrophic lateral sclerosisClinical PracticeInternal medicineIntensive care medicinePhysical therapyDisease

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: The purpose of this review is to discuss the most important recent clinical studies in amyotrophic lateral sclerosis (ALS), including their impact on clinical practice, their methodology, and open questions to be addressed in the future. RECENT FINDINGS: This article focuses on studies, which provided either a positive primary endpoint or positive post hoc analysis, including edaravone, sodium phenylbutyrate-taurursodiol, rasagiline, tofersen, and high-caloric, fat-rich nutrition. It also covers recent developments in the design of clinical ALS studies with regard to inclusion criteria, stratification factors, and outcome parameters. SUMMARY: Recent clinical studies have indicated various substances to be considered for treatment of ALS. Edaravone has been approved by the US Food and Drug Association (FDA) but not by the European Medicines Agency (EMA), and further studies testing oral formulations are currently conducted. A follow-up study with sodium phenylbutyrate-taurursodiol is ongoing, while follow-up studies for rasagiline and high-caloric, fat-rich nutrition are planned. A phase III study with tofersen was negative but nevertheless yielded promising results. Important developments regarding the design of clinical ALS studies include the implementation of neurofilament light chain (NfL) levels as a standard outcome parameter and the consideration of progression rate for therapeutic response and stratification.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.961
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.005
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 head0.649
GPT teacher head0.562
Teacher spread0.087 · 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.

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

Citations6
Published2022
Admission routes1
Has abstractyes

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