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@ARTICLE{Bowman:901852,
author = {Bowman, Howard and Bonkhoff, Anna and Hope, Tom and
Grefkes, Christian and Price, Cathy},
title = {{I}nflated {E}stimates of {P}roportional {R}ecovery {F}rom
{S}troke},
journal = {Stroke},
volume = {52},
number = {5},
issn = {1524-4628},
address = {Philadelphia, Pa.},
publisher = {Lippincott Williams $\&$ Wilkins},
reportid = {FZJ-2021-03867},
pages = {1915 - 1920},
year = {2021},
abstract = {The proportional recovery rule states that most survivors
recover a fixed proportion $(≈70\%)$ of lost function
after stroke. A strong (negative) correlation between the
initial score and subsequent change (outcome minus initial;
ie, recovery) is interpreted as empirical support for the
proportional recovery rule. However, this rule has recently
been critiqued, with a central observation being that the
correlation of initial scores with change over time is
confounded in the situations in which it is typically
assessed. This critique has prompted reassessments of
patients’ behavioral trajectory following stroke in 2
prominent papers. The first of these, by van der Vliet et al
presented an impressive modeling of upper limb deficits
following stroke, which avoided the confounded correlation
of initial scores with change. The second by Kundert et al
reassessed the value of the proportional recovery rule, as
classically formulated as the correlation between initial
scores and change. They argued that while effective
prediction of recovery trajectories of individual patients
is not supported by the available evidence, group-level
inferences about the existence of proportional recovery are
reliable. In this article, we respond to the van der Vliet
and Kundert papers by distilling the essence of the argument
for why the classic assessment of proportional recovery is
confounded. In this respect, we reemphasize the role of
mathematical coupling and compression to ceiling in the
confounded nature of the correlation of initial scores with
change. We further argue that this confound will be present
for both individual-level and group-level inference. We then
focus on the difficulties that can arise from ceiling
effects, even when initial scores are not being correlated
with change/recovery. We conclude by emphasizing the need
for new techniques to analyze recovery after stroke that are
not confounded in the ways highlighted here.},
cin = {INM-3},
ddc = {610},
cid = {I:(DE-Juel1)INM-3-20090406},
pnm = {5252 - Brain Dysfunction and Plasticity (POF4-525)},
pid = {G:(DE-HGF)POF4-5252},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:33827246},
UT = {WOS:000644656300060},
doi = {10.1161/STROKEAHA.120.033031},
url = {https://juser.fz-juelich.de/record/901852},
}