Evidence map›Paper›PMID 25658484›Full record

ArticlePloS one2015

Multimodal MRI-based study in patients with SPG4 mutations.

Thiago J R Rezende, Milena de Albuquerque, Gustavo M Lamas, Alberto R M Martinez, Brunno M Campos, Raphael F Casseb, Cynthia B Silva, Lucas M T Branco, Anelyssa D'Abreu, Iscia Lopes-Cendes and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 20% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Progressive Spinal Cord Degeneration in Friedreich's Ataxia: Results from ENIGMA-Ataxia.Movement disorders : official journal of the Movement Disorder Society · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review
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

12 authors at 1 institution in 1 country.

Thiago J R RezendeDepartament of Neurology, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil.
Milena de AlbuquerqueDepartament of Neurology, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil.
Gustavo M LamasDepartament of Neurology, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil.
Alberto R M MartinezDepartament of Neurology, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil.
Brunno M CamposDepartament of Neurology, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil.
Raphael F CassebDepartament of Neurology, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil.
Cynthia B SilvaDepartament of Neurology, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil.
Lucas M T BrancoDepartament of Neurology, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil.
Anelyssa D'AbreuDepartament of Neurology, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil.
Iscia Lopes-CendesDepartment of Medical Genetics, University of Campinas (UNICAMP), São Paulo, Campinas, Brazil.
Fernando CendesDepartament of Neurology, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil.
Marcondes C FrançaDepartament of Neurology, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil.
Universidade Estadual de Campinas (UNICAMP) · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mutations in the SPG4 gene (SPG4-HSP) are the most frequent cause of hereditary spastic paraplegia, but the extent of the neurodegeneration related to the disease is not yet known. Therefore, our objective is to identify regions of the central nervous system damaged in patients with SPG4-HSP using a multi-modal neuroimaging approach. In addition, we aimed to identify possible clinical correlates of such damage. Eleven patients (mean age 46.0 ± 15.0 years, 8 men) with molecular confirmation of hereditary spastic paraplegia, and 23 matched healthy controls (mean age 51.4 ± 14.1years, 17 men) underwent MRI scans in a 3T scanner. We used 3D T1 images to perform volumetric measurements of the brain and spinal cord. We then performed tract-based spatial statistics and tractography analyses of diffusion tensor images to assess microstructural integrity of white matter tracts. Disease severity was quantified with the Spastic Paraplegia Rating Scale. Correlations were then carried out between MRI metrics and clinical data. Volumetric analyses did not identify macroscopic abnormalities in the brain of hereditary spastic paraplegia patients. In contrast, we found extensive fractional anisotropy reduction in the corticospinal tracts, cingulate gyri and splenium of the corpus callosum. Spinal cord morphometry identified atrophy without flattening in the group of patients with hereditary spastic paraplegia. Fractional anisotropy of the corpus callosum and pyramidal tracts did correlate with disease severity. Hereditary spastic paraplegia is characterized by relative sparing of the cortical mantle and remarkable damage to the distal portions of the corticospinal tracts, extending into the spinal cord.

Indexed as

Adenosine TriphosphatasesAdultAgedBrainFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMultimodal ImagingMutationSeverity of Illness IndexSpastic Paraplegia, HereditarySpastinSpinal CordAdenosine TriphosphatasesSpastinSPAST protein, human

Identifiers

PMID25658484
PMCPMC4320056
OpenAlexW2024856826

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.