Evidence map›Paper›PMID 36753012›Full record

ReviewNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2023

Egyptian adaptation and validation of the Edinburgh Cognitive and Behavioral Amyotrophic Lateral Sclerosis Screen (ECAS-EG).

Radwa Soliman, Hebatallah R Rashed, Ramez R Moustafa, Nabila Hamdi, Mahmoud S Swelam, Ahmad Osman, Nagia Fahmy

Open access · hybridAbstract readReview
In one paragraph

Review in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

6 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Clinical and epidemiological characteristics of amyotrophic lateral sclerosis in an Egyptian cohort.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Article
  5. Article
  6. 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

7 authors at 2 institutions in 1 country.

Radwa SolimanNeuromuscular Unit, Neurology and Psychiatry Department, Faculty of Medicine, Ain Shams University, Cairo, 11566, Egypt. radwasoliman@med.asu.edu.eg.ORCID http://orcid.org/0000-0003-1280-1764
Hebatallah R RashedNeuromuscular Unit, Neurology and Psychiatry Department, Faculty of Medicine, Ain Shams University, Cairo, 11566, Egypt.ORCID http://orcid.org/0000-0001-6154-806X
Ramez R MoustafaNeuromuscular Unit, Neurology and Psychiatry Department, Faculty of Medicine, Ain Shams University, Cairo, 11566, Egypt.
Nabila HamdiMolecular Pathology Unit, German University in Cairo (GUC), Cairo, Egypt.
Mahmoud S SwelamNeuromuscular Unit, Neurology and Psychiatry Department, Faculty of Medicine, Ain Shams University, Cairo, 11566, Egypt.
Ahmad OsmanBiotechnology Department, Basic and Applied Sciences Institute, Egypt-Japan University of Science and Technology, Borg Al Arab, 21934, Egypt.ORCID http://orcid.org/0000-0002-3506-8254
Nagia FahmyNeuromuscular Unit, Neurology and Psychiatry Department, Faculty of Medicine, Ain Shams University, Cairo, 11566, Egypt. dr.nagiafahmy@med.asu.edu.eg.ORCID http://orcid.org/0000-0001-8670-0419
Ain Shams University · EGGerman University in Cairo · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmyotrophic lateral sclerosis (ALS) is the most common, fatal adult neuromuscular disease. It is a multi-system disorder characterized primarily by motor manifestations, but there is established evidence for cognitive and behavioral impairment, which is associated with poor prognosis, hence, the importance of tools for its assessment. The Edinburgh Cognitive and Behavioral Assessment Screen (ECAS) is an invaluable assessment tool for cognition in ALS-front temporal spectrum dementia (FTSD), as it accommodates physical challenges that usually confound traditional neuropsychological testing in those patients. OBJECTIVE AND

methodsTo validate the Egyptian Arabic version of ECAS (ECAS-EG) based on the original English scale. This is a prospective study. The ECAS was adapted and administered to 62 Egyptian ALS patients and 60 healthy controls. Patients were recruited from the Neuromuscular Unit, Ain Shams University Hospital. The ECAS was adapted to Egyptian Arabic after being translated using the back translation method. Internal consistency of the test, inter-rater reliability, and construct validity were assessed.

resultsThe Egyptian Arabic version of ECAS (ECAS-EG) showed good internal consistency using Cronbach's alpha of 0.84. Inter-rater reliability was tested, values for all variables were compared, and no statistically significant differences were found (ICC = .997). ECAS-EG discriminated significantly between the patients from the control subjects (p-value of 0.001). There was a strong positive correlation between the ECAS-EG total score and the MoCA total score with a p-value of 0.001, thus indicating convergent validity. The test showed that 63% of Egyptian ALS patients were cognitively affected; most affected domains were executive functions and verbal fluency.

conclusionThe current study proves that the Egyptian version of the ECAS (ECAS-EG) is valid and reliable among Egyptian ALS patients and it would be applicable to the general Arabic-speaking population.

Indexed as

Amyotrophic Lateral SclerosisCognition DisordersAdultCognitionEgyptHumansNeuropsychological TestsProspective StudiesReproducibility of ResultsALSALSFTDAmyotrophic lateral sclerosisCognitiveECAS

Identifiers

PMID36753012
PMCPMC10175416
OpenAlexW4319459361

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.