Evidence map›Paper›PMID 38878106›Full record

ArticleJournal of neurology2024

Lifestyle and medical conditions in relation to ALS risk and progression-an introduction to the Swedish ALSrisc Study.

Charilaos Chourpiliadis, Christina Seitz, Anikó Lovik, Emily E Joyce, Lu Pan, Yihan Hu, Ulf Kläppe, Kristin Samuelsson, Rayomand Press, Caroline Ingre and 1 more

Abstract read
In one paragraph

Article in Journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Ratios of CSF proteins reflect cognitive function in ALS.Alzheimer's research & therapy · 2026
    Article
  3. Article
  4. Article
  5. Article
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

11 authors.

Charilaos ChourpiliadisInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Christina SeitzInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Anikó LovikInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Emily E JoyceInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Lu PanInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Yihan HuInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Ulf KläppeDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Kristin SamuelssonDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Rayomand PressDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Caroline Ingre *Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden. Caroline.Ingre@ki.se.
Fang Fang *Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden. fang.fang@ki.se.ORCID http://orcid.org/0000-0002-3310-6456

Funding

Identify and Evaluate Potential Risk Factors for Amyotrophic Lateral Sclerosis - A Unique Contribution from SwedenR01TS000324 · TS · KAROLINSKA INSTITUTE · PI FANG, FANG · 2021 to 2023
$1.5M
ATSDR CDC HHS R01 TS000324European Research Council Starting Grant MegaALS 802091Swedish Research Council 2019-01088Swedish Research Council 2023-02428US Center for Disease Control and Prevention R01TS000324-01-00
6 · The paper itself

Abstract

backgroundThis study was an introduction to the Swedish ALSrisc Study and explored the association of lifestyle and medical conditions, with risk and progression of amyotrophic lateral sclerosis (ALS).

methodsWe included 265 newly diagnosed ALS patients during 2016-2022 in Stockholm and 207 ALS-free siblings and partners of the patients as controls. Information on body mass index (BMI), smoking, and history of head injuries, diabetes mellitus, hypercholesterolemia, and hypertension was obtained through the Euro-MOTOR questionnaire at recruitment. Patients were followed from diagnosis until death, invasive ventilation, or November 30, 2022.

resultsHigher BMI at recruitment was associated with lower risk for ALS (OR 0.89, 95%CI 0.83-0.95), especially among those diagnosed after 65 years. One unit increase in the average BMI during the 3 decades before diagnosis was associated with a lower risk for ALS (OR 0.94, 95%CI 0.89-0.99). Diabetes was associated with lower risk of ALS (OR 0.38, 95%CI 0.16-0.90), while hypercholesterolemia was associated with higher risk of ALS (OR 2.10, 95%CI 1.13-3.90). Higher BMI at diagnosis was associated with lower risk of death (HR 0.91, 95%CI 0.84-0.98), while the highest level of smoking exposure (in pack-years) (HR 1.90, 95%CI 1.20-3.00), hypercholesterolemia (HR 1.84, 95%CI 1.06-3.19), and hypertension (HR 1.76, 95%CI 1.03-3.01) were associated with higher risk of death, following ALS diagnosis.

conclusionsHigher BMI and diabetes were associated with lower risk of ALS. Higher BMI was associated with lower risk of death, whereas smoking (especially in high pack-years), hypercholesterolemia, and hypertension were associated with higher risk of death after ALS diagnosis.

Indexed as

Amyotrophic Lateral SclerosisBody Mass IndexDisease ProgressionLife StyleAdultAgedDiabetes MellitusFemaleHumansHypercholesterolemiaHypertensionMaleMiddle AgedRisk FactorsSmokingSwedenAmyotrophic lateral sclerosisCase-control studyMotor neuron diseaseNeuroepidemiology

Identifiers

PMID38878106
PMCPMC11319377

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.