Evidence map›Paper›PMID 41574092›Full record

ArticleBrain communications2026

Clinical and genetic determinants of survival in amyotrophic lateral sclerosis patients from North India.

Shiffali Khurana, Mandaville Gourie-Devi, Yuvraj Vats, Sagar Verma, Nirmal Kumar Ganguly, Parul Chugh, Ankkita Sharma, Laxmi Khanna, Uma Dhawan, Vibha Taneja

Abstract read
In one paragraph

Article in Brain communications, 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
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

10 authors.

Shiffali KhuranaDepartment of Biotechnology and Research, Sir Ganga Ram Hospital, Delhi, India, 110060.
Mandaville Gourie-DeviDepartment of Neurophysiology, Sir Ganga Ram Hospital, Delhi, India, 110060.ORCID https://orcid.org/0009-0003-3799-9380
Yuvraj VatsDepartment of Biotechnology and Research, Sir Ganga Ram Hospital, Delhi, India, 110060.
Sagar VermaDepartment of Biotechnology and Research, Sir Ganga Ram Hospital, Delhi, India, 110060.
Nirmal Kumar GangulyDepartment of Biotechnology and Research, Sir Ganga Ram Hospital, Delhi, India, 110060.
Parul ChughDepartment of Biotechnology and Research, Sir Ganga Ram Hospital, Delhi, India, 110060.
Ankkita SharmaDepartment of Neurophysiology, Sir Ganga Ram Hospital, Delhi, India, 110060.
Laxmi KhannaDepartment of Neurophysiology, Sir Ganga Ram Hospital, Delhi, India, 110060.
Uma DhawanDepartment of Biomedical Science, Bhaskaracharya College of Applied Sciences, University of Delhi, Delhi, India, 110075.ORCID https://orcid.org/0000-0001-7124-393X
Vibha TanejaDepartment of Biotechnology and Research, Sir Ganga Ram Hospital, Delhi, India, 110060.ORCID https://orcid.org/0000-0001-5457-9992

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease characterized by progressive motor neuron degeneration, with significant clinical and genetic variability. While the role of genetic factors is well-established in ALS pathogenesis, their impact on survival outcomes remains poorly understood, particularly in the Indian population. We performed whole-exome sequencing in 159 ALS patients from North India (familial = 2, sporadic = 157). Clinical parameters, including age at onset, site of onset, sex, family history and survival, were recorded. Males exhibited shorter survival than females, but did not achieve statistical significance (median: 48 versus 60 years,

Indexed as

amyotrophic lateral sclerosisclinical and genetic heterogeneitysurvivalwhole-exome sequencing

Identifiers

PMID41574092
PMCPMC12822497

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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.