Evidence map›Paper›PMID 35577512›Full record

ArticleJournal of neurology, neurosurgery, and psychiatry2022

Combining biomarkers for prognostic modelling of Parkinson's disease.

Nirosen Vijiaratnam, Michael Lawton, Amanda J Heslegrave, Tong Guo, Manuela Tan, Edwin Jabbari, Raquel Real, John Woodside, Katherine Grosset, Viorica Chelban and 13 more

Abstract read
In one paragraph

Article in Journal of neurology, neurosurgery, and psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Journal of Parkinson's disease · 2026
    Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Parkinson's Disease: Biomarkers for Diagnosis and Disease Progression.International journal of molecular sciences · 2024
    Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Blood based biomarkers for movement disorders.Acta neurologica Scandinavica · 2022
    Review
  19. Diabetes and Neuroaxonal Damage in Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2022
    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

23 authors.

Nirosen VijiaratnamDepartment of Clinical and Movement Neurosciences, University College London, UCL Queen Square Institute of Neurology, London, UK.ORCID http://orcid.org/0000-0002-9671-0212
Michael LawtonPopulation Health Sciences, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0002-3419-0354
Amanda J HeslegraveDementia Research Institute, University College London, London, UK.ORCID http://orcid.org/0000-0002-7290-6405
Tong GuoDementia Research Institute, University College London, London, UK.ORCID http://orcid.org/0000-0001-9395-3617
Manuela TanDepartment of Clinical and Movement Neurosciences, University College London, UCL Queen Square Institute of Neurology, London, UK.ORCID http://orcid.org/0000-0001-5835-669X
Edwin JabbariDepartment of Clinical and Movement Neurosciences, University College London, UCL Queen Square Institute of Neurology, London, UK.ORCID http://orcid.org/0000-0001-6844-882X
Raquel RealDepartment of Clinical and Movement Neurosciences, University College London, UCL Queen Square Institute of Neurology, London, UK.ORCID http://orcid.org/0000-0001-8117-742X
John WoodsideDepartment of Clinical and Movement Neurosciences, University College London, UCL Queen Square Institute of Neurology, London, UK.
Katherine GrossetDepartment of Neurology, Southern General Hospital, University of Glasgow and Institute of Neurological Sciences, Glasgow, UK.
Viorica ChelbanDepartment of Clinical and Movement Neurosciences, University College London, UCL Queen Square Institute of Neurology, London, UK.ORCID http://orcid.org/0000-0002-5817-6290
Dilan AthaudaDepartment of Clinical and Movement Neurosciences, University College London, UCL Queen Square Institute of Neurology, London, UK.ORCID http://orcid.org/0000-0001-8594-2483
Christine GirgesDepartment of Clinical and Movement Neurosciences, University College London, UCL Queen Square Institute of Neurology, London, UK.ORCID http://orcid.org/0000-0001-5019-6812
Roger A BarkerCambridge Centre for Brain Repair, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0001-8843-7730
John HardyAligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815.
Nicholas WoodDepartment of Clinical and Movement Neurosciences, University College London, UCL Queen Square Institute of Neurology, London, UK.
Henry HouldenMRC Centre for Neuromuscular Diseases, UCL Institute of Neurology and National Hospital for Neurology and Neurosurgery, London, UK.ORCID http://orcid.org/0000-0002-2866-7777
Nigel WilliamsCardiff University, Cardiff University Institute of Psychological Medicine and Clinical Neurosciences, Cardiff, UK.ORCID http://orcid.org/0000-0003-1177-6931
Yoav Ben-ShlomoDepartment of Social Medicine, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0001-6648-3007
Henrik ZetterbergDementia Research Institute, University College London, London, UK.ORCID http://orcid.org/0000-0002-4671-6763
Donald G GrossetDepartment of Neurology, Southern General Hospital, University of Glasgow and Institute of Neurological Sciences, Glasgow, UK.ORCID http://orcid.org/0000-0002-2757-8203
Thomas FoltynieDepartment of Clinical and Movement Neurosciences, University College London, UCL Queen Square Institute of Neurology, London, UK.ORCID http://orcid.org/0000-0003-0752-1813
Huw R MorrisDepartment of Clinical and Movement Neurosciences, University College London, UCL Queen Square Institute of Neurology, London, UK h.morris@ucl.ac.uk.ORCID http://orcid.org/0000-0002-5473-3774
PRoBaND clinical consortium

Funding

Medical Research Council G0701075Medical Research Council G0802760Medical Research Council G0901254Medical Research Council G1001253Medical Research Council MR/J004758/1Medical Research Council MR/L010305/1Medical Research Council MR/T018569/1Parkinson's UK H-1703Wellcome Trust
6 · The paper itself

Abstract

backgroundPatients with Parkinson's disease (PD) have variable rates of progression. More accurate prediction of progression could improve selection for clinical trials. Although some variance in clinical progression can be predicted by age at onset and phenotype, we hypothesise that this can be further improved by blood biomarkers.

objectiveTo determine if blood biomarkers (serum neurofilament light (NfL) and genetic status (glucocerebrosidase,

methodsWe evaluated the relationship between serum NfL and baseline and longitudinal clinical measures as well as patients' genetic (

results291 patients were assessed in this study. Baseline serum NfL was associated with baseline cognitive status. Nfl predicted a shorter time to dementia, postural instability and death (dementia-HR 2.64; postural instability-HR 1.32; mortality-HR 1.89) whereas APOEe4 status was associated with progression to dementia (dementia-HR 3.12, 95% CI 1.63 to 6.00). NfL levels and genetic variables predicted unfavourable progression to a similar extent as clinical predictors. The combination of clinical, NfL and genetic data produced a stronger prediction of unfavourable outcomes compared with age and gender (area under the curve: 0.74-age/gender vs 0.84-ALL p=0.0103).

conclusionsClinical trials of disease-modifying therapies might usefully stratify patients using clinical, genetic and NfL status at the time of recruitment.

Indexed as

parkinson's disease

Identifiers

PMID35577512
PMCPMC9279845

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.