Evidence map›Paper›PMID 33324897›Full record

Trial reportNeurological research and practice2019

An omics-based strategy using coenzyme Q10 in patients with Parkinson's disease: concept evaluation in a double-blind randomized placebo-controlled parallel group trial.

Jannik Prasuhn, Norbert Brüggemann, Nicole Hessler, Daniela Berg, Thomas Gasser, Kathrin Brockmann, Denise Olbrich, Andreas Ziegler, Inke R König, Christine Klein and 1 more

Open access · diamondAbstract readClinical Trial
In one paragraph

Trial report in Neurological research and practice, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 11% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. A Double-Blind, Randomized, Placebo-Controlled Trial of Ursodeoxycholic Acid (UDCA) in Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2023
    Trial
  3. Neuroprotection in Parkinson Disease.Neurology and therapy · 2025
    Review
  4. Targeting mitophagy in neurodegenerative diseases.Nature reviews. Drug discovery · 2025
    Review
  5. Review
  6. Article
  7. Review
  8. Genetic testing for Parkinson's disease in clinical practice.Journal of neural transmission (Vienna, Austria : 1996) · 2023
    Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. Coenzyme Q10, Ageing and the Nervous System: An Overview.Antioxidants (Basel, Switzerland) · 2021
    Review
  19. Review
  20. Genotype-driven therapeutic developments in Parkinson's disease.Molecular medicine (Cambridge, Mass.) · 2021
    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

11 authors at 3 institutions in 2 countries.

Jannik PrasuhnInstitute of Neurogenetics, University of Luebeck, Maria-Goeppert-Str. 1, 23562 Luebeck, Germany.
Norbert BrüggemannInstitute of Neurogenetics, University of Luebeck, Maria-Goeppert-Str. 1, 23562 Luebeck, Germany.
Nicole HesslerInstitute of Medical Biometry and Statistics, University of Luebeck, Luebeck, Germany.
Daniela BergDepartment of Neurology, Christians-Albrechts-University, Kiel, Germany.
Thomas GasserDepartment of Neurodegeneration, Hertie-Institute of Clinical Brain Research, Tübingen, Germany.
Kathrin BrockmannDepartment of Neurodegeneration, Hertie-Institute of Clinical Brain Research, Tübingen, Germany.
Denise OlbrichCenter for Clinical Trials, University of Luebeck, Luebeck, Germany.
Andreas ZieglerInstitute of Medical Biometry and Statistics, University of Luebeck, Luebeck, Germany.
Inke R KönigInstitute of Medical Biometry and Statistics, University of Luebeck, Luebeck, Germany.
Christine KleinInstitute of Neurogenetics, University of Luebeck, Maria-Goeppert-Str. 1, 23562 Luebeck, Germany.
Meike KastenInstitute of Neurogenetics, University of Luebeck, Maria-Goeppert-Str. 1, 23562 Luebeck, Germany.
University of Lübeck · DEGerman Center for Neurodegenerative Diseases · DEHertie Institute for Clinical Brain Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study focuses on genetically stratified subgroups of Parkinson's disease patients (PD) with an enrichment of risk variants in mitochondrial genes,who might benefit from treatment with the "mitochondrial enhancer" coenzyme Q10 (156 mg coenzyme Q10/d [QuinoMit Q10® Fluid] over six months). The study will be performed in a double-blind, randomized, and placebo-controlled parallel group manner.

methodsPD patients will be specifically identified and assigned to treatment groups stratified by their genetic "mitochondrial risk burden" and consequently expected mitochondrial dysfunction and treatment response to coenzyme Q10 (homozygous or compound heterozygous PERSPECTIVE: This study may be a first step towards a successful prediction of treatment response based on the genetic status of PD patients and translate progress in molecular genetics into personalized patient care. Further, magnetic resonance spectroscopy imaging may help quantify increased energy supply objectively and within a brief time after the start of treatment. Therefore, the potential of MRSI also for other studies addressing brain energy metabolism may will be assessed.

trial registrationThis study was registered at the German Clinical Trial Registry (DRKS, DRKS00015880) on November 15th, 2018.

Indexed as

Coenzyme Q10Mitochondrial dysfunctionParkinParkinson’s diseasePersonalized medicinePINK1

Identifiers

PMID33324897
PMCPMC7650116
OpenAlexW2969398757

What OpenQuestion holds

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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.