Evidence map›Paper›PMID 36481735›Full record

ArticleNeuroepidemiology2022

Cardiovascular Diseases, Medications, and ALS: A Population-Based Case-Control Study.

Hoda S Abdel Magid, Barbara Topol, Valerie McGuire, Jessica A Hinman, Edward J Kasarskis, Lorene M Nelson

Open access · hybridAbstract read
In one paragraph

Article in Neuroepidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 20% of its field
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

11 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Association between metabolic syndrome, its individual components and progression of amyotrophic lateral sclerosis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Observational
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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 at 3 institutions in 1 country.

Hoda S Abdel MagidDepartment of Epidemiology and Population Health, Stanford University, Stanford, California, USA, hmagid@stanford.edu.
Barbara TopolDepartment of Epidemiology and Population Health, Stanford University, Stanford, California, USA.
Valerie McGuireDepartment of Epidemiology and Population Health, Stanford University, Stanford, California, USA.
Jessica A HinmanDepartment of Epidemiology and Population Health, Stanford University, Stanford, California, USA.
Edward J KasarskisDepartment of Neurology, University of Kentucky, Lexington, Kentucky, USA.
Lorene M NelsonDepartment of Epidemiology and Population Health, Stanford University, Stanford, California, USA.
Stanford University · USStanford Health Care · USUniversity of Kentucky · US

Funding

Stanford BSSR Pre-Doctoral Training Program at the Intersection of Data Sciences with Behavioral, Social, and Population Health ResearchT32HL151323 · NHLBI · STANFORD UNIVERSITY · PI Michelle Christina Odden, David H Rehkopf · 2020 to 2026
$1.6M
ACL HHS R01TS000249ATSDR CDC HHS R01 TS000249NHLBI NIH HHS T32 HL151323
6 · The paper itself

Abstract

introductionWe investigated the associations between antecedent all-cause CVD diagnoses, cause-specific CVD diagnosis, and CVD medication prescriptions with the risk of developing amyotrophic lateral sclerosis (ALS). MATERIALS AND

methodsWe conducted a population-based case-control study of U.S. Medicare enrollees from 2006 to 2013. The final sample included 3,714 incident ALS cases and 18,570 controls (matched on age, sex, enrollment length, and county). Information was collected from Medicare Parts A, B, and D administrative claims data on hypertension, ischemic heart disease, heart failure, acute myocardial infarction, atrial fibrillation, prescriptions of angiotensin-converting enzyme inhibitors, angiotensin II receptors blockers, calcium channel blockers, beta blockers, and antiarrhythmics. Associations were evaluated using conditional logistic regression adjusting for age, sex, race/ethnicity, geographical location, alcohol and tobacco use, and socioeconomic status.

resultsThe odds ratio (OR) for having one or more ICD-9 codes for any cardiovascular disease diagnosis at least 24 months prior to the date of ALS diagnosis was 0.85 (95% confidence interval [CI]: 0.78-0.92). Cardiovascular conditions that were inversely associated with ALS included heart failure (OR = 0.79; 95% CI 0.70-0.89), atrial fibrillation (OR = 0.81; 95% CI 0.77-0.92), and hypertension (OR = 0.91; 95% CI 0.84-0.98). Exposures to several classes of cardiovascular medications were inversely associated with ALS risk even after adjusting for confounding by indication, including ACE inhibitors (OR = 0.84, 95% CI 0.77-0.91), calcium channel blockers (OR = 0.64, 95% CI 0.59-0.70), and beta blockers (OR = 0.76, 95% CI 0.71-0.83). DISCUSSION/

conclusionThese findings merit additional research, including animal studies and pilot clinical trials, to further evaluate and evidence the effects of ACEIs, CCBs, and BBs on the risk of developing and clinical expression of ALS.

Indexed as

Amyotrophic Lateral SclerosisAtrial FibrillationCardiovascular DiseasesHeart FailureHypertensionAdrenergic beta-AntagonistsAgedAngiotensin-Converting Enzyme InhibitorsCalcium Channel BlockersCase-Control StudiesHumansMedicareUnited StatesAdrenergic beta-AntagonistsAngiotensin-Converting Enzyme InhibitorsCalcium Channel BlockersAmyotrophic lateral sclerosisAngiotensin-converting enzyme inhibitorsCardiovascular diseaseHypertensionMedications

Identifiers

PMID36481735
PMCPMC9986836
OpenAlexW4310949650

What OpenQuestion holds

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LicenceCC BY-NC
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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 OpenQuestion graph.