Evidence map›Paper›PMID 41098254›Full record

ArticleCureus2025

Navigating End-of-Life Decisions With Amyotrophic Lateral Sclerosis: A Patient-Centered Perspective on the Clinical and Legal Barriers to Medical Aid in Dying.

Diane Marie, Larry E Miller, Samir K Bhattacharyya, Frederick M Frankhauser

Abstract readEditorial
In one paragraph

Article in Cureus, 2025. 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
0cells of the map it votes in
0citing 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

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

4 authors.

Diane MarieResearch, Independent Research, Santa Ana, USA.
Larry E MillerClinical Research, Miller Scientific, Johnson City, USA.
Samir K BhattacharyyaResearch, Independent Research, Orlando, USA.
Frederick M FrankhauserPharmaceutical Business and Administrative Sciences, Massachusetts College of Pharmacy and Health Sciences, Boston, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amyotrophic lateral sclerosis (ALS) is a progressive and incurable neurodegenerative disease that often leads to loss of speech, swallowing restrictions, respiratory failure, paralysis, and total physical dependence, despite preserved cognitive function. For some affected individuals, the anticipated decline in autonomy associated with ALS leads to the consideration of medical aid in dying (MAiD). In the United States (US), MAiD is legally permitted in 12 jurisdictions (11 states and Washington, DC); however, most require patients to self-administer the prescribed medications. This stipulation creates an inequitable barrier for people with late-stage ALS, as the ability to swallow medication or manipulate delivery devices is often lost well before the end of life. Patients with ALS who are considering MAiD and otherwise meet all eligibility criteria must weigh the decision to end their lives earlier than desired against the risk of prolonging life and becoming physically unable to self-administer MAiD. This paper, coauthored by a patient with bulbar-onset ALS, integrates clinical literature, legal analysis, and lived experience to examine how existing MAiD statutes in the US fail to accommodate the physical disabilities of otherwise eligible patients from using this option. Overall, legislative reform in the US is urgently needed to ensure that MAiD eligibility is based on informed consent and clinical criteria without unfair exclusion based on physical disability.

Indexed as

alsamyotrophic lateral sclerosisdisabilitymaidmedical aid in dying

Identifiers

PMID41098254
PMCPMC12519029

What OpenQuestion holds

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LicenceCC BY
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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.