Evidence map›Paper›PMID 30732635›Full record

ArticleOrphanet journal of rare diseases2019

Disease progression in women with X-linked adrenoleukodystrophy is slow.

Irene C Huffnagel, Marcel G W Dijkgraaf, Georges E Janssens, Michel van Weeghel, Björn M van Geel, Bwee Tien Poll-The, Stephan Kemp, Marc Engelen

Open access · goldAbstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
3.9field-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

65 citing papers in PubMed, 91 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Nervonic acid supplementation mitigates disease severity biomarkers in adrenoleukodystrophy.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Article
  5. Article
  6. Article
  7. Clinically Relevant Outcome Measures in Women With Adrenoleukodystrophy.Annals of clinical and translational neurology · 2026
    Review
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5 more citing papers are in PubMed but not listed here.

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

8 authors at 4 institutions in 1 country.

Irene C HuffnagelDepartment of Pediatric Neurology/Emma Children's Hospital, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Marcel G W DijkgraafDepartment of Clinical Epidemiology, Biostatistics and Bio-informatics, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Georges E JanssensLaboratory Genetic Metabolic Diseases, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Michel van WeeghelLaboratory Genetic Metabolic Diseases, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Björn M van GeelDepartment of Neurology, NoordWest Ziekenhuisgroep, Alkmaar, The Netherlands.
Bwee Tien Poll-TheDepartment of Pediatric Neurology/Emma Children's Hospital, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Stephan KempDepartment of Pediatric Neurology/Emma Children's Hospital, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Marc EngelenDepartment of Pediatric Neurology/Emma Children's Hospital, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands. m.engelen@amc.nl.
Academic Medical Center · NLEmma Kinderziekenhuis · NLUniversity of Amsterdam · NLNoordwest Ziekenhuisgroep · NL

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek 016.156.033
6 · The paper itself

Abstract

backgroundOver 80% of women with X-linked adrenoleukodystrophy (ALD) develop spinal cord disease in adulthood for which treatment is supportive only. For future clinical trials quantitative data on disease progression rates are essential. Moreover, diagnosis can be challenging in ALD women, as the most important diagnostic biomarker is normal in 15-20%. Better biomarkers are needed. The purpose of this single centre cross-sectional follow-up study in women with ALD was to assess whether Expanded Disability Status Scale (EDSS), AMC Linear Disability Scale (ALDS) and Short Form (36) Health Survey (SF-36) can detect disease progression and to model the effect of age and duration of symptoms on the rate of progression. Moreover, we performed a pilot study to assess if a semi-targeted lipidomics approach can identify possible new diagnostic biomarkers.

resultsIn this study 46 women (baseline clinical data published by our group previously) were invited for a follow-up visit. Newly identified women at our center were also recruited. We analysed 65 baseline and 34 follow-up assessments. Median time between baseline and follow-up was 7.8 years (range 6.4-8.7). Mean age at baseline was 49.2 ± 14.2 years, at follow-up 55.4 ± 10.1. EDSS increased significantly (+ 0.08 points/year), but the other outcome measures did not. Increasing age and duration of symptoms were associated with more disability. For the pilot study we analysed plasma of 20 ALD women and 10 controls with ultra-high performance liquid chromatography coupled to high-resolution mass spectrometry, which identified 100 potential biomarker ratios with strong differentiating properties and non-overlapping data distributions between ALD women and controls.

conclusionsProgression of spinal cord disease can be detected with EDSS, but not with ALDS or SF-36 after a follow-up period of almost 8 years. Moreover, age and the duration of symptoms seem positively associated with the rate of progression. Although a significant progression was measurable, it was below the rate generally conceived as clinically relevant. Therefore, EDSS, ALDS and SF-36 are not suitable as primary outcome measures in clinical trials for spinal cord disease in ALD women. In addition, a semi-targeted lipidomics approach can identify possible new diagnostic biomarkers for women with ALD.

Indexed as

AdrenoleukodystrophyAdultBiomarkersComputational BiologyCross-Sectional StudiesDisease ProgressionFemaleHumansLogistic ModelsMiddle AgedSpinal Cord DiseasesBiomarkersAdrenoleukodystrophyBiomarkersProgressionSpinal cord diseaseWomen

Identifiers

PMID30732635
PMCPMC6367840
OpenAlexW2916744594

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.