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Review
. 2022 Aug 17;8(8):e10259.
doi: 10.1016/j.heliyon.2022.e10259. eCollection 2022 Aug.

Practice effects in performance outcome measures in patients living with neurologic disorders - A systematic review

Affiliations
Review

Practice effects in performance outcome measures in patients living with neurologic disorders - A systematic review

Sven P Holm et al. Heliyon. .

Abstract

Background: In this systematic review we sought to characterize practice effects on traditional in-clinic or digital performance outcome measures commonly used in one of four neurologic disease areas (multiple sclerosis; Huntington's disease; Parkinson's disease; and Alzheimer's disease, mild cognitive impairment and other forms of dementia), describe mitigation strategies to minimize their impact on data interpretation and identify gaps to be addressed in future work.

Methods: Fifty-eight original articles (49 from Embase and an additional 4 from PubMed and 5 from additional sources; cut-off date January 13, 2021) describing practice effects or their mitigation strategies were included.

Results: Practice effects observed in healthy volunteers do not always translate to patients living with neurologic disorders. Mitigation strategies include reliable changes indices that account for practice effects or a run-in period. While the former requires data from a reference sample showing similar practice effects, the latter requires a sufficient number of tests in the run-in period to reach steady-state performance. However, many studies only included 2 or 3 test administrations, which is insufficient to define the number of tests needed in a run-in period.

Discussion: Several gaps have been identified. In particular the assessment of practice effects on an individual patient level as well as the temporal dynamics of practice effects are largely unaddressed. Here, digital tests, which allow much higher testing frequency over prolonged periods of time, can be used in future work to gain a deeper understanding of practice effects and to develop new metrics for assessing and accounting for practice effects in clinical research and clinical trials.

Keywords: Alzheimer disease; Dementia; Huntington disease; Mild cognitive impairment; Multiple sclerosis; Parkinson disease; Practice effects.

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Conflict of interest statement

Sven P. Holm is a contractor for F. Hoffmann–La Roche Ltd. Arnaud M. Wolfer is an employee of F. Hoffmann–La Roche Ltd. Grégoire H.S. Pointeau is an employee and shareholder of F. Hoffmann–La Roche Ltd. Florian Lipsmeier is an employee of F. Hoffmann–La Roche Ltd. Michael Lindemann is a consultant for F. Hoffmann–La Roche Ltd. via Inovigate.

Figures

Figure 1
Figure 1
Schematic representation of the evolution of test performance through time solely due to task repetition (practice effects) when different assessment frequencies are considered. Each curve represent the test performance through time for a daily assessment (top curve) and a weekly assessment schedule (bottom curve). Each individual test is represented by a dot, colored either orange if it is part of the practice period (or run-in period), or blue if it is part of the steady-state period. During the practice period, performance gain between consecutive tests is largest at first and gradually reduces as the number of assessments increases. The assessment frequency does not alter the overall performance gain or number of iterations required to reach a steady-state suitable for reliable assessment, but decreases or increases the time needed to reach such state (e.g. 7 days vs 7 weeks). The subject's abilities are considered constant over the period of time considered.
Figure 2
Figure 2
PRISMA flow diagram. Incl, Inclusion.
Figure 3
Figure 3
Effect sizes (Cohen's d, unless otherwise noted) for observed changes between test iterations in patients with multiple sclerosis. Studies (horizontal axis) that reported effect sizes for individual performance outcome measures are shows in the figure. Studies that did not report effect sizes or reported effect sizes for composite scores are not included in this figure. Dark green dots (formula image) indicate continuous practice effects, light green dots (formula image) initial practice effects, yellow dots (formula image) inconclusive effects and red dots (formula image) absence of practice effects, as defined in Table 4. Small, medium and large effect sizes are defined as d = 0.2, d = 0.5 and d = 0.8, respectively, and apply to Cohen's d only (Cohen, 1992). ∗ Partial η2. BVMT-R, Brief Visuospatial Memory Test-Revised; CANTAB, Cambridge Neuropsychological Test Automated Battery; CST, Contrast Sensitivity Test; CVLT, California Verbal Learning Test; MDT-DH, Dominant-handed Manual Dexterity Test; MDT-NDH, Non-dominant-handed Manual Dexterity Test; MSPT, Multiple Sclerosis Performance Test; OTS-MC6, One Touch Stockings of Cambridge with 6 moves; PAL-TE8, Total error at 8-figure stage of the Paired Associates Learning; PASAT, Paced Auditory Serial Addition Test; RTI-FM, Five-choice movement time; RTI-FR, Five-choice reaction time; RTI-SR, Simple reaction time; SDMT, Symbol Digit Modalities Test; SWM-TE8, Total error for 8 boxes of Spatial Working Memory; WST, Walking Speed Test.
Figure 4
Figure 4
Effect sizes (Cohen's d) for observed changes between test iterations in patients with Parkinson's disease. Studies that did not report effect sizes or reported effect sizes for composite scores are not included in this figure. Red dots (formula image) absence of practice effects, as defined in Table 5. Small, medium and large effect sizes are defined as d = 0.2, d = 0.5 and d = 0.8, respectively (Cohen, 1992). CVLT, California Verbal Learning Test. ∗Effect size indicates a worsening in test performance.
Figure 5
Figure 5
Repeated-measures effect sizes of the observed changes between test iterations in Huntington's disease obtained from Stout et al. (2014). Light green dots (formula image) indicate initial practice effects. Red dots (formula image) indicate an absence of practice effects, as defined in Table 6. ∗ Effect size reported for the change observed between the second and third test iteration rather than between the first and second test iteration. CVLT, California Verbal Learning Test; HD, Huntington's disease; HVLT, Hopkins Verbal Learning Test; pre-HD, pre-manifest Huntington's disease; SDMT, Symbol Digit Modalities Test; TMT, Trail-Making Test.
Figure 6
Figure 6
Effect sizes (Cohen's d, unless otherwise noted) for observed changes between test iterations in patients with mild cognitive impairment, Alzheimer's disease or other forms of dementia. Studies that did not report effect sizes or reported effect sizes for composite scores are not included in this figure. Dark green dots (formula image) indicate continuous practice effects, light green dots (formula image) initial practice effects, yellow dots (formula image) inconclusive effects and red dots (formula image) absence of practice effects, as defined in Table 7. Small, medium and large effect sizes are defined as d = 0.2, d = 0.5 and d = 0.8, respectively, and apply to Cohen's d only (Cohen, 1992). ∗η2. BVMT-R, Brief Visuospatial Memory Test-Revised; CVLT, California Verbal Learning Test; DLB, dementia with Lewis bodies; HVLT, Hopkins Verbal Learning Test; IDM, divided attention task; LDFR, long delayed free recall; LM, Logical Memory; LNS, Letter-Number Sequencing; MCI, mild cognitive impairment; mdMCI, multi-domain mild cognitive impairment; MMSE, Mini-Mental State Examination; OBK, One-Back Test; SDFR, short delayed free recall; sdMCI, single-domain mild cognitive impairment; SDMT, Symbol Digit Modalities Test; TMT, Trail-Making Test; TR, total recall; VR, Visual Reproduction; WAIS, Wechsler Adult Intelligence Scale; WMS, Wechsler Memory Scale.

References

    1. Arvanitakis Z., Shah R.C., Bennett D.A. Diagnosis and management of dementia: review. JAMA. 2019;322:1589–1599. - PMC - PubMed
    1. Bachoud-Lévi A.C., Maison P., Bartolomeo P., Boissé M.F., Dalla Barba G., Ergis A.M., Baudic S., Degos J.D., Cesaro P., Peschanski M. Retest effects and cognitive decline in longitudinal follow-up of patients with early HD. Neurology. 2001;56:1052–1058. - PubMed
    1. Barker-Collo S.L. Within session practice effects on the PASAT in clients with multiple sclerosis. Arch. Clin. Neuropsychol. 2005;20:145–152. - PubMed
    1. Bartels C., Wegrzyn M., Wiedl A., Ackermann V., Ehrenreich H. Practice effects in healthy adults: a longitudinal study on frequent repetitive cognitive testing. BMC Neurosci. 2010;11:118. - PMC - PubMed
    1. Beglinger L.J., Adams W.H., Langbehn D., Fiedorowicz J.G., Caviness J., Biglan K., Olson B., Paulsen J.S. Does interval between screening and baseline matter in HD cognitive clinical trials? J Huntingtons Dis. 2014;3:139–144. - PubMed

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