Evidence map›Paper›PMID 28976022›Full record

ArticleMovement disorders : official journal of the Movement Disorder Society2018

Development and validation of prognostic survival models in newly diagnosed Parkinson's disease.

Angus D Macleod, Ingvild Dalen, Ole-Bjørn Tysnes, Jan Petter Larsen, Carl E Counsell

Abstract read
In one paragraph

Article in Movement disorders : official journal of the Movement Disorder Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

  1. Prognosis in Parkinson's Disease: An Individual Patient Data Meta-Analysis of Six European Incidence Cohorts.Movement disorders : official journal of the Movement Disorder Society · 2026
    Pooled it
  2. Article
  3. Validation of a 5-Year Prognostic Model for Parkinson's Disease.Movement disorders clinical practice · 2024
    Article
  4. Article
  5. Article
  6. Perspectives of people living with Parkinson's disease on personalized prediction models.Health expectations : an international journal of public participation in health care and health policy · 2022
    Article
  7. Article
  8. Article
  9. Prognostic Modeling of Parkinson's Disease Progression Using Early Longitudinal Patterns of Change.Movement disorders : official journal of the Movement Disorder Society · 2021
    Article
  10. Article
  11. Article
  12. Increased Mortality in Young-Onset Parkinson's Disease.Journal of movement disorders · 2021
    Article
  13. Article
  14. The impact of freezing of gait on functional dependency in Parkinson's disease with regard to motor phenotype.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2020
    Article
  15. 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

5 authors.

Angus D MacleodDivision of Applied Health Sciences, University of Aberdeen, Foresterhill, Aberdeen, UK.ORCID 0000-0002-6284-4239
Ingvild DalenDepartment of Research, Section of Biostatistics, Stavanger University Hospital, Stavanger, Norway.
Ole-Bjørn TysnesInstitute of Clinical Medicine, University of Bergen, Bergen, Norway.
Jan Petter LarsenNetwork for Medical Sciences, University of Stavanger, Stavanger, Norway.
Carl E CounsellDivision of Applied Health Sciences, University of Aberdeen, Foresterhill, Aberdeen, UK.

Funding

Chief Scientist Office CAF/12/05Chief Scientist Office PCL/17/10Parkinson's UK G-0914Parkinson's UK G-1302
6 · The paper itself

Abstract

objectiveThe objective of this study was to develop valid prognostic models to predict mortality, dependency, and "death or dependency" for use in newly diagnosed Parkinson's disease (PD).

methodsThe models were developed in the Parkinsonism Incidence in North-East Scotland study (UK, 198 patients) and validated in the ParkWest study (Norway, 192 patients), cohorts that attempted to identify and follow-up all new PD cases in the study area. Dependency was defined using the Schwab & England scale. We selected variables measured at time of diagnosis to include in the models. Internal validation and external validation were performed by calculating C-statistics (discrimination) and plotting observed versus predicted risk in quantiles of predicted risk (calibration).

resultsOlder age, male sex, increased severity of axial features, and Charlson comorbidity index were independent prognostic factors in the mortality model. Increasing age, higher smoking history, increased severity of axial features, and lower MMSE score were independent predictors in the models of dependency and "death or dependency." Each model had very good internal calibration and very good or good discrimination (internal and external C-statistics for the models were 0.73-0.75 and 0.68-0.78, respectively). Although each model clearly separated patients into groups according to risk, they tended to overestimate risk in ParkWest. The models were recalibrated to the baseline risk in the ParkWest study and then calibrated well in this cohort.

conclusionsWe have developed prognostic models for predicting medium-term risk of important clinical outcomes in newly diagnosed PD. These models have validity for use for stratification of randomization, confounder adjustment, and case-mix correction, but they are inadequate for individualized prognostication. © 2017. The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.

Indexed as

Models, NeurologicalAgedAged, 80 and overCohort StudiesEnglandFemaleHumansIncidenceKaplan-Meier EstimateMaleNorwayParkinson DiseasePredictive Value of TestsPrognosisReproducibility of ResultsScotlanddependencymortalityParkinson's diseaseprognosis

Identifiers

PMID28976022
PMCPMC5813201

What OpenQuestion holds

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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.