Evidence map›Paper›PMID 41807991›Full record

ArticleAnnals of neurology2026

Distinct Prescription Patterns Emerge Years Before ALS Diagnosis: A Nationwide Registry-Based Study.

Magne Haugland Solheim, Trond Riise, Marianna Cortese, Ola Nakken, Ole-Bjørn Tysnes, Jannicke Igland, Kjetil Bjornevik

Abstract read
In one paragraph

Article in Annals of neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Magne Haugland SolheimDepartment of Neurology, Haukeland University Hospital, Bergen, Norway.ORCID 0009-0008-0883-8082
Trond RiiseDepartment of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.
Marianna CorteseDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Ola NakkenDepartment of Neurology, Akershus University Hospital, Oslo, Norway.
Ole-Bjørn TysnesDepartment of Neurology, Haukeland University Hospital, Bergen, Norway.
Jannicke IglandDepartment of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.
Kjetil BjornevikDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0002-2892-6986

Funding

Helse Vest F-12830
6 · The paper itself

Abstract

objectiveThe prodromal phase of amyotrophic lateral sclerosis (ALS) is poorly defined. We aimed to characterize prescription drug use patterns in the pre-diagnostic period by analyzing nationwide prescription data to identify the earliest divergence between individuals who developed ALS and matched healthy controls. We used this divergence as an indirect marker to estimate the onset and duration of the prodrome.

methodsWe conducted a nested case-control study using nationwide Norwegian registries (2005-2019). ALS cases were individually matched to 100 controls by sex, age, and education level using incidence density sampling. Drug prescription data were gathered from the Norwegian Prescription Database (NorPD). We calculated prescription rates up to 10 years before diagnosis, performed lag-time analyses, and used machine learning to predict ALS based on drug prescription patterns.

resultsWe identified 2,084 incident patients with ALS and 208,400 matched healthy controls. Overall, changes in prescription patterns occurred 2 to 3 years before ALS diagnosis. Among specific drug groups, 25 of 42 therapeutic drug classes were prescribed more frequently to patients with ALS than matched controls. Muscle relaxants and bone disease treatments were prescribed significantly more frequently 6 and 5 years before diagnosis, respectively.

interpretationPrescription pattern changes occurred as early as 6 years before ALS diagnosis. These findings are consistent with a prodromal phase preceding the clinical stage of ALS, which may last several years. In contrast, the broad increase in medication use during the final year before diagnosis likely reflects increased health care utilization as patients seek treatment for the various emerging symptoms of the clinically manifest disease. ANN NEUROL 2026;99:1516-1525.

Indexed as

Amyotrophic Lateral SclerosisDrug PrescriptionsPractice Patterns, Physicians'Prodromal SymptomsRegistriesAdultAgedCase-Control StudiesFemaleHumansMaleMiddle AgedNorway

Identifiers

PMID41807991
PMCPMC13206272

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.