Evidence map›Paper›PMID 37761896›Full record

ArticleGenes2023

Outcome Measures and Biomarkers for Clinical Trials in Hereditary Spastic Paraplegia: A Scoping Review.

Sue-Faye Siow, Dennis Yeow, Laura I Rudaks, Fangzhi Jia, Gautam Wali, Carolyn M Sue, Kishore R Kumar

Open access · goldAbstract readScoping Review
In one paragraph

Article in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
6.2field-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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Hereditary spastic paraplegia: from decades of therapy to future innovations.Therapeutic advances in neurological disorders · 2026
    Review
  4. Article
  5. Article
  6. Biomarkers in Hereditary Spastic Paraplegias.International journal of molecular sciences · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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 1 institution in 1 country.

Sue-Faye SiowSydney Medical School, University of Sydney, Camperdown 2050, Australia.ORCID 0000-0003-1485-0228
Dennis YeowSydney Medical School, University of Sydney, Camperdown 2050, Australia.ORCID 0000-0001-7534-7007
Laura I RudaksSydney Medical School, University of Sydney, Camperdown 2050, Australia.ORCID 0000-0002-1100-319X
Fangzhi JiaSydney Medical School, University of Sydney, Camperdown 2050, Australia.ORCID 0000-0001-6421-8074
Gautam WaliSydney Medical School, University of Sydney, Camperdown 2050, Australia.ORCID 0000-0003-2961-3954
Carolyn M SueSydney Medical School, University of Sydney, Camperdown 2050, Australia.
Kishore R KumarSydney Medical School, University of Sydney, Camperdown 2050, Australia.ORCID 0000-0003-3482-6962
The University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hereditary spastic paraplegia (HSP) is characterized by progressive lower limb spasticity. There is no disease-modifying treatment currently available. Therefore, standardized, validated outcome measures to facilitate clinical trials are urgently needed. We performed a scoping review of outcome measures and biomarkers for HSP to provide recommendations for future studies and identify areas for further research. We searched Embase, Medline, Scopus, Web of Science, and the Central Cochrane database. Seventy studies met the inclusion criteria, and eighty-three outcome measures were identified. The Spastic Paraplegia Rating Scale (SPRS) was the most widely used (27 studies), followed by the modified Ashworth Scale (18 studies) and magnetic resonance imaging (17 studies). Patient-reported outcome measures (PROMs) were infrequently used to assess treatment outcomes (28% of interventional studies). Diffusion tensor imaging, gait analysis and neurofilament light chain levels were the most promising biomarkers in terms of being able to differentiate patients from controls and correlate with clinical disease severity. Overall, we found variability and inconsistencies in use of outcome measures with a paucity of longitudinal data. We highlight the need for (1) a standardized set of core outcome measures, (2) validation of existing biomarkers, and (3) inclusion of PROMs in HSP clinical trials.

Indexed as

Spastic Paraplegia, HereditaryBiomarkersDiffusion Tensor ImagingHumansOutcome Assessment, Health CareParaplegiaBiomarkersbiomarkersclinical trialshereditary spastic paraplegiaoutcome measuresscoping review

Identifiers

PMID37761896
PMCPMC10530989
OpenAlexW4386410294

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.