Evidence map›Paper›PMID 42739287›Full record

ReviewDiagnostics (Basel, Switzerland)2026

Presymptomatic Amyotrophic Lateral Sclerosis: From Early Biomarker Detection to Phenoconversion Prediction.

Min Chen, Hexian Li, Qingwen Jin

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 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

3 authors.

Min ChenDepartment of Neurology, Sir Run Run Hospital, Nanjing Medical University, No. 109 Longmian Avenue, Nanjing 211112, China.
Hexian LiDepartment of Neurology, Sir Run Run Hospital, Nanjing Medical University, No. 109 Longmian Avenue, Nanjing 211112, China.
Qingwen JinDepartment of Neurology, Sir Run Run Hospital, Nanjing Medical University, No. 109 Longmian Avenue, Nanjing 211112, China.ORCID 0009-0002-1596-1042

Funding

National Natural Science Foundation of China 81671117
6 · The paper itself

Abstract

Amyotrophic lateral sclerosis (ALS) usually enters diagnostic pathways after motor symptoms emerge, by which time neural injury has been ongoing. Long-term hereditary ALS cohorts show that some pathogenic-variant carriers may show elevated neurofilament light chain (NfL), mild motor impairment (MMI), electromyographic abnormalities, or imaging changes before clinical manifestation. Since 2022, research has shifted from detecting presymptomatic abnormalities to identifying observable prodromal phenotypes and predicting phenoconversion timing. Operational MMI criteria, longitudinal imaging in chromosome 9 open reading frame 72 (C9orf72) expansion carriers, TAR DNA-binding protein 43 (TDP-43)-related fluid biomarkers, and plasma proteomic models spanning prediction horizons have broadened early identification. The ATLAS study, a trial of tofersen initiated in clinically presymptomatic carriers of superoxide dismutase 1 (SOD1) variants, incorporated specific SOD1 variants and within-person NfL increases into risk monitoring and used these criteria to select participants for the randomized treatment phase. Evidence remains concentrated in a few genetic subtypes, and no single marker accurately predicts individual phenoconversion. Identification requires genotype-specific natural history, serial clinical examinations and biomarker testing, with clinical utility validated in independent longitudinal cohorts and prevention trials.

Indexed as

amyotrophic lateral sclerosisgenetic ALSlongitudinal monitoringmild motor impairmentneurofilament light chainphenoconversionpredictive biomarkerspresymptomatic ALS

Identifiers

PMID42739287
PMCPMC13564565

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.