Evidence map›Paper›PMID 31899540›Full record

ReviewMuscle & nerve2020

Addressing heterogeneity in amyotrophic lateral sclerosis CLINICAL TRIALS.

Namita A Goyal, James D Berry, Anthony Windebank, Nathan P Staff, Nicholas J Maragakis, Leonard H van den Berg, Angela Genge, Robert Miller, Robert H Baloh, Ralph Kern and 3 more

Open access · hybridAbstract readReview
In one paragraph

Review in Muscle & nerve, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 3 pooled it
5.1field-weighted citation impact, top 3% 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

64 citing papers in PubMed, 3 syntheses or guidelines pooled it, 97 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. The landscape of neurophysiological outcome measures in ALS interventional trials: A systematic review.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2022
    Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Article
  8. Article
  9. Combination Pharmacology for ALS: A Mechanistic Rationale.International journal of molecular sciences · 2026
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review

4 more citing papers are in PubMed but not listed here.

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

13 authors at 10 institutions in 3 countries.

Namita A GoyalUniversity of California, Irvine, California.
James D BerryHealey Center at Massachusetts General Hospital, Boston, Massachusetts.
Anthony WindebankMayo Clinic, Rochester, Minnesota.
Nathan P StaffMayo Clinic, Rochester, Minnesota.
Nicholas J MaragakisJohns Hopkins University, Baltimore, Maryland.
Leonard H van den BergUniversity Medical Center Utrecht, Utrecht, The Netherlands.
Angela GengeMontreal Neurological Institute and Hospital, Montreal, Quebec, Canada.
Robert MillerCalifornia Pacific Medical Center, San Francisco, California.
Robert H BalohRobert H. Baloh, Cedars-Sinai Medical Center, California, Los Angeles.
Ralph KernBrainstorm Cell Therapeutics, New York, New York.
Yael GothelfBrainstorm Cell Therapeutics, New York, New York.
Chaim LebovitsBrainstorm Cell Therapeutics, New York, New York.
Merit CudkowiczHealey Center at Massachusetts General Hospital, Boston, Massachusetts.
Allen Institute for Brain Science · USMassachusetts General Hospital · USMayo Clinic · USCalifornia Pacific Medical Center · USCedars-Sinai Medical Center · USCircuit Therapeutics (United States) · USJohns Hopkins University · USMontreal Neurological Institute and Hospital · CAUniversity Medical Center Utrecht · NLUniversity of California, Irvine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amyotrophic lateral sclerosis (ALS) is a debilitating neurodegenerative disorder with complex biology and significant clinical heterogeneity. Many preclinical and early phase ALS clinical trials have yielded promising results that could not be replicated in larger phase 3 confirmatory trials. One reason for the lack of reproducibility may be ALS biological and clinical heterogeneity. Therefore, in this review, we explore sources of ALS heterogeneity that may reduce statistical power to evaluate efficacy in ALS trials. We also review efforts to manage clinical heterogeneity, including use of validated disease outcome measures, predictive biomarkers of disease progression, and individual clinical risk stratification. We propose that personalized prognostic models with use of predictive biomarkers may identify patients with ALS for whom a specific therapeutic strategy may be expected to be more successful. Finally, the rapid application of emerging clinical and biomarker strategies may reduce heterogeneity, increase trial efficiency, and, in turn, accelerate ALS drug development.

Indexed as

Biological Variation, PopulationBiomarkersOutcome Assessment, Health CareAmyotrophic Lateral SclerosisClinical Trials as TopicDisease ProgressionDrug DevelopmentHumansMuscle StrengthPhysical Functional PerformancePrecision MedicinePrognosisReproducibility of ResultsRespiratory Function TestsRisk AssessmentSpeechBiomarkersamyotrophic lateral sclerosisbiomarkersclinical trialsdisease heterogeneityenrichment strategiesoutcome measures

Identifiers

PMID31899540
PMCPMC7496557
OpenAlexW2998030065

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.