Evidence map›Paper›PMID 40041249›Full record

ReviewNeurology. Genetics2025

Review of the Genetic Spectrum of Hereditary Spastic Paraplegias in the Middle East and North Africa Regions.

Mehri Salari, Fatemeh Hojjatipour, Masoud Etemadifar, Sevim Soleimani

Abstract readReview
In one paragraph

Review in Neurology. Genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

Mehri SalariPhysical Medicine & Rehabilitation Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Fatemeh HojjatipourStudent Research Committee, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran; and.ORCID https://orcid.org/0000-0002-1861-7063
Masoud EtemadifarSchool of Medicine, Isfahan University of Medical Sciences, Iran.ORCID https://orcid.org/0000-0002-0066-3782
Sevim SoleimaniStudent Research Committee, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran; and.ORCID https://orcid.org/0000-0002-6060-7395

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Hereditary spastic paraplegias (HSPs) are inherited neurodegenerative disorders, and their classification is based on inheritance mode, allelic variants, and clinical presentation. Despite global occurrence, research, especially in the Middle East and North Africa (MENA) regions, is lacking, underscoring the need for further investigation. The objective of this study was to improve the regions' clinical practice and public health, and this study aims to gather data on HSP prevalence, pathogenic variants, and patient characteristics in MENA countries. Methods: A systematic literature review encompassing PubMed, MEDLINE, and Google Scholar was conducted. Quality assessment was performed on the included studies. Data extraction and analysis provided insights into HSP's current status in the region. Results: Iran had the highest number of patients with HSP, followed by Tunisia. SPG11 (19.8%), FA2H (8.5%), and ZFYVE26 (7.7%) were the most frequently found genes in the cases. Autosomal recessive HSP with thin corpus callosum was common among the affected patients, with SPG11 identified as the primary cause. Discussion: Our analysis highlights genetic diversity and regional prevalence variations. Despite limited research in MENA countries, we stress the importance of further investigation to address gaps in understanding and improve patient care and public health initiatives.

Identifiers

PMID40041249
PMCPMC11876988

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Registered trials

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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.