Following on nicely from our last post, we are delighted to publicise our latest peer-reviewed publication.
This will come out in a special edition of the European Journal of Neuroscience, dedicated to the memory of Tom Isaacs. Tom was the founder and leader of the Cure Parkinson's Trust - a truly dynamic leader and a real disruptive presence (in all the right ways) within Parkinson's research. We are honoured to have our names and our ideas as testimonial to him in this way.
It is clear that Parkinson's is more of an umbrella condition than one single entity. For instance, some people have significant tremor, while others have none. Some progress very slowly, and a decade from diagnosis have barely any more symptoms - others progress more quickly. For many Parkinson's affects mainly movement while others have many non-motor symptoms. It is likely (although not yet proven) that these different subtypes of Parkinson's have a different underlying process causing them.
It therefore stands to reason that the earliest phases are also different. In our article we lay out the evidence that Parkinson's that comes from people with a particular kind of sleep disorder (REM sleep behavioural disorder), smell loss, and genetic forms do all look different. The evidence is not bomb-proof, but in Predict-PD we will be able to shed light on both the sleep disorder, smell loss and try and pick apart differences in the general population.
To see the article, please see the journal website. Please also remember to talk to friends and family to read more about the study and sign up themselves: www.predictpd.com
RNR
Welcome to the blog for the PREDICT-PD project. We are working to understand the risk factors for Parkinson's Disease and blogging about advances made in prediction and early detection of the disease.
Showing posts with label bias. Show all posts
Showing posts with label bias. Show all posts
Sunday, 18 November 2018
Wednesday, 17 January 2018
Comparing apples and apples
Drug trials (or trials of any new treatment for that matter)
are designed by comparing a group on the new treatment against a group on
something else. That may be no treatment, the best available treatment, or
placebo (or dummy treatment). In order to make a fair comparison, it is
essential to compare like with like.
An extreme example of this would be to say that “men are faster
than women”, having compared the Jamaican mens olympic sprint team, against a
selection of girls from the local secondary school. This is obviously
ridiculous in so many ways: adult men vs teenage girls, trained atheletes vs
untrained and so on…
In studies of Parkinson’s, it is also important that we
compare like with like. For the past 50 years, researchers have used the “Hoehn
and Yahr Scale” to create standardised definitions. (The scale is named after Margaret
Hoehn and Melvin Yahr who pioneered research into progression and epidemiology
of Parkinson’s in the 1960s.) Designed to give researchers a simple and global
assessment of disease severity, this is probably the most widely used Parkinson’s
staging system in use. According to the latest version of this scale there are
6 stages from 0= Asymptomatic to 5 = wheelchair bound or bedridden unless
unaided.
Despite its widespread use, until now there have been no
systematic attempts to prove how
useful and reproducible it is. The researchers in this study assessed the
acceptability, reproducibility, content and validity of the scale. They
compared how different raters scored people (known as inter-rater reliability),
and how that compared with other scoring systems of stiffness, tremor and other
features of Parkinson’s. They also looked at whether the same assessor gave the
same patient the same score at different times (known as test-retest
reliability).
The good news is that inter-rater reliability and
test-retest reliability are incredibly high. In other words, if one clinician judges
a person to have stage II, so will almost every other (trained) clinician. It
also correlated quite well with other physical assessment scores.
As ever, it is not a perfect test. The difference between
stages is not the same (in other words, going from I to II is not the same as
going from III-IV). Nor does it correlate at all well with quality of life. It
also does not take into account non-motor features of Parkinson’s. Furthermore,
only 2.9% of more than 3000 participants were at the most advanced stage V, so
may not be quite as reliable for these people.
In summary, we have a pretty good measure of giving a number
to the amount that an individual is affected by Parkinson’s. Until we have a
blood test/scan/marker of progression, this is the best we have, and we need to
make sure we have ways of addressing its weaknesses. Using it we can compare
like with like, and, hopefully, get ever closer to preventing people advancing
through the scale.
http://onlinelibrary.wiley.com/doi/10.1002/mds.27242/abstract;jsessionid=A596451DCF79B33BF34C1802EFD6E2CF.f04t03
Martinez-Martin P, Skorvanek M, Rojo-Abuin JM, Gregova Z, Stebbins
GT, Goetz CG, et al. Validation study of the hoehn and yahr scale included in
the MDS-UPDRS. Mov Disord. 2018 Jan 11;17:427.
Tuesday, 26 September 2017
Brain Training
If the first maxim of a doctor is “First do no harm”, a close runner up
should be “Use only treatments that work”. The bookshops and app-stores are
full of brain training methods. For the most part, these are not evidence based
and while entertaining, are unlikely to be the reason why someone is awarded a
Nobel prize.
Targeted cognitive training however is perhaps a different kettle of
fish. This study assessed the effects of a multi-domain cognitive training regime
over three months, and then the residual effects after 18 months. Participants
underwent a series of cognitive and behavioural tasks at each assessment. Some
of the participants then went on to have MRI imaging at the later time point to
see the effects.
The authors report increased cognitive function in several (alhtough
not all) domains that was preserved even after a delay despite there overall
Parkinson’s condition getting worse.
The imaging findings they report are very hard to interpret. In an
earlier report of this study, 44 participants were randomised to either the
REHACOP cognitive training programme that formed the intervention, and 19 were
randomised to occupational therapy as a control. There was a high drop out rate
(7/22 in the intervention group, 4/19 in the control group) which creates a
high risk of bias. In this paper, only the participants in the brain training
group had repeat imaging at 18 months. Therefore, the findings do not compare
the intervention and controls, but just the intervention group to themselves 15
months later. Furthermore, the two of the authors hold copyright for the
training programme, and this could create a financial conflict of interest.
While I hope that there can be evidence based treatments that can
improve the thinking and behaviour of people with Parkinson’s disease, I think
this paper has some significant issues such that it doesn’t provide the
evidence that would make me change my practice.
The search continues
DOI: 10.1111/ene.13472
Long-term effects of cognitive rehabilitation on brain,
functional outcome and cognition in Parkinson's disease
Abstract
Background
Cognitive rehabilitation has demonstrated efficacy in
producing short-term cognitive and brain changes in Parkinson's disease (PD)
patients. To date, no study has assessed the long-term effects of cognitive
rehabilitation using neuroimaging techniques in PD. The aim was to assess the
longitudinal effects of a 3-month cognitive rehabilitation program evaluating
the cognitive, behavioural and neuroimaging changes after 18 months.
Methods
Fifteen PD patients underwent a cognitive, behavioural and
neuroimaging assessment at pre-treatment (T0), post-treatment (T1)
and after 18-months (T2). This study examined the long-term effects
(from T0 to T2) and the maintenance of the changes
(from T1 to T2). T1-weighted, diffusion-weighted,
functional magnetic resonance imaging (fMRI) during both a resting-state and a
memory paradigm were acquired. Voxel-based-morphometry and
tract-based-spatial-statistics were used for grey and white matter analyses. A
ROI-to-ROI approach was used for resting-state functional connectivity (FC),
and model-based for brain activation during the memory paradigm.
Results
PD patients showed increased cognitive performance,
decreased functional disability, increased brain FC and activation at T2 compared
with T0 (p<.05-FDR).
Moreover, patients showed the maintenance of the improvements in cognition and
functionality and the maintenance of the increased brain FC and activation at T2 compared
with T1. However, significant grey matter reduction and alterations
of white matter integrity were found at T2 (p<.05-FWE).
Conclusions
Findings suggest that the improved cognitive performance and
the increased brain FC and activation after cognitive rehabilitation were
significantly maintained after 18 months in PD patients, despite the structural
brain changes, consistent with a progression of neurodegenerative processes.
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