Evidence map›Paper›PMID 37981575›Full record

ArticleAmyotrophic lateral sclerosis & frontotemporal degeneration2024

Analysis of non-motor symptoms in amyotrophic lateral sclerosis.

Ali Shojaie, Ahmad Al Khleifat, Payam Sarraf, Ammar Al-Chalabi

Open access · hybridAbstract read
In one paragraph

Article in Amyotrophic lateral sclerosis & frontotemporal degeneration, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
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 at 2 institutions in 2 countries.

Ali ShojaieMaurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.ORCID 0009-0000-7463-2914
Ahmad Al KhleifatMaurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.ORCID 0000-0002-7406-9831
Payam SarrafDepartment of Neuromuscular Diseases, Iranian Centre of Neurological Research, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran, and.ORCID 0000-0002-8386-5493
Ammar Al-ChalabiMaurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.ORCID 0000-0002-4924-7712
King's College London · GBTehran University of Medical Sciences · IR

Funding

Medical Research Council MR/L501529/1Medical Research Council MR/R024804/1Wellcome Trust
6 · The paper itself

Abstract

objectiveWe investigated non-motor symptoms in ALS using sequential questionnaires; here we report the findings of the second questionnaire.

methodsA social media platform (Twitter, now known as X) was used to publicize the questionnaires. Data were downloaded from SurveyMonkey and analyzed by descriptive statistics, comparison of means, and regression models.

resultsThere were 182 people with ALS and 57 controls. The most important non-motor symptoms were cold limbs (60.4% cases, 14% controls,

conclusionsNon-motor symptoms are an important feature of ALS. Further investigation is needed to understand their physiological basis and whether they represent phenotypic differences useful for subtyping ALS.

Indexed as

Amyotrophic Lateral SclerosisHumansPainSurveys and QuestionnairesAmyotrophic lateral sclerosiscold limbsnon-motor symptomspainquestionnaire

Identifiers

PMID37981575
PMCPMC11238730
OpenAlexW4388813676

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.