Evidence map›Paper›PMID 41165081›Full record

ArticleAnnals of neurology2026

Amyotrophic Lateral Sclerosis and Frontotemporal Dementia Have Distinct Prediagnostic Blood Biochemical Profiles.

Christos V Chalitsios, Jiali Gao, Carol A C Coupland, Julia Hippisley Cox, Martin R Turner, Alexander G Thompson

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.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Christos V ChalitsiosNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID 0000-0002-0836-9385
Jiali GaoNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Carol A C CouplandSchool of Medicine, University of Nottingham, Nottingham, UK.
Julia Hippisley CoxWolfson Institute of Population Health, Queen Mary University, London, UK.
Martin R TurnerNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID 0000-0003-0267-3180
Alexander G ThompsonNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID 0000-0003-1063-3277

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIdentifying modifiable factors influencing amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) risk is important for prevention. Blood biomarkers, particularly cholesterol, have been associated with neurodegenerative risk, but findings in ALS are inconsistent, and data on FTD are limited.

methodsWe conducted a population-based cohort study using UK primary care records from QResearch linked with Hospital Episode Statistics. Adults with biomarker data recorded between 1998 and 2023 were included. We examined associations of low- and high-density lipoprotein cholesterol (LDL-C and HDL-C), total cholesterol, triglycerides, creatinine, creatine kinase, and HbA1c with ALS and FTD risk. Cox proportional hazards models were used to estimate associations. Two-sample Mendelian randomization (MR) was applied to explore genetically predicted associations of selected biomarkers.

resultsThere were up to 2,695 ALS and 781 FTD diagnoses, with a median follow-up duration of 9.4 and 10.5 years, respectively. Higher LDL-C (hazard ratio [HR]

interpretationLDL and total cholesterol may provide insights into early disease changes or the etiology of ALS, whereas creatinine and HbA1c may be relevant for FTD. Research in monogenic ALS and FTD is needed to determine whether these biomarkers inform targeted prevention or intervention strategies. ANN NEUROL 2026;99:844-856.

Indexed as

Amyotrophic Lateral SclerosisFrontotemporal DementiaAdultAgedBiomarkersCholesterolCholesterol, LDLCohort StudiesCreatine KinaseCreatinineFemaleGlycated HemoglobinHumansMaleMendelian Randomization AnalysisMiddle AgedBiomarkersCholesterolCholesterol, LDLCreatine KinaseCreatinineGlycated HemoglobinTriglycerides

Identifiers

PMID41165081
PMCPMC13011780

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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.