Evidence map›Paper›PMID 31119037›Full record

ArticleHealthcare technology letters2019

Detection and localisation of hesitant steps in people with Alzheimer's disease navigating routes of varying complexity.

Ian McCarthy, Tatsuto Suzuki, Catherine Holloway, Teresa Poole, Chris Frost, Amelia Carton, Nick Tyler, Sebastian Crutch, Keir Yong

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Healthcare technology letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Diagnosis and Management of Posterior Cortical Atrophy.Current treatment options in neurology · 2023
    Review
  5. Article
  6. 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

9 authors.

Ian McCarthyPedestrian Accessibility and Movement Environment Laboratory, Department of Civil Environmental and Geomatic Engineering, University College London, London N19 5UN, UK.
Tatsuto SuzukiPedestrian Accessibility and Movement Environment Laboratory, Department of Civil Environmental and Geomatic Engineering, University College London, London N19 5UN, UK.
Catherine HollowayUCL Interaction Centre, Department of Computer Science, University College London, London, UK.
Teresa PooleDepartment of Medical Statistics, Faculty of Epidemiology and Public Health, London School of Hygiene & Tropical Medicine, London, UK.
Chris FrostDepartment of Medical Statistics, Faculty of Epidemiology and Public Health, London School of Hygiene & Tropical Medicine, London, UK.
Amelia CartonDementia Research Centre, Institute of Neurology, University College London, London, UK.
Nick TylerPedestrian Accessibility and Movement Environment Laboratory, Department of Civil Environmental and Geomatic Engineering, University College London, London N19 5UN, UK.
Sebastian CrutchDementia Research Centre, Institute of Neurology, University College London, London, UK.
Keir YongDementia Research Centre, Institute of Neurology, University College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

People with Alzheimer's disease (AD) have characteristic problems navigating everyday environments. While patients may exhibit abnormal gait parameters, adaptive gait irregularities when navigating environments are little explored or understood. The aim of this study was to assess adaptive locomotor responses of AD subjects in a complex environment requiring spatial navigation. A controlled environment of three corridors was set up: straight (I), U-shaped (U) and dog-leg (S). Participants were asked to walk along corridors as part of a counterbalanced repeated-measures design. Three groups were studied: 11 people with posterior cortical atrophy (PCA), 10 with typical Alzheimer's disease (tAD) and 13 controls. Spatio-temporal gait parameters and position within the corridors were monitored with shoe-mounted inertial measurement units (IMUs). Hesitant steps were identified from statistical analysis of the distribution of step time data. Walking paths were generated from position data calculated by double integration of IMU acceleration. People with PCA and tAD had similar gait characteristics, having shorter steps and longer step times than controls. Hesitant steps tended to be clustered within certain regions of the walking paths. IMUs enabled identification of key gait characteristics in this clinical population (step time, length and step hesitancy) and environmental conditions (route complexity) modifying their expression.

Indexed as

abnormal gait parametersadaptive locomotor responsesAlzheimer's diseaseAlzheimer's disease navigating routesbiomedical measurementcorridorscounterbalanced repeated-measures designdiseasesdog-leggait analysisgait characteristicsgait irregularitiesIMU accelerationpatient monitoringposition dataposterior cortical atrophyroute complexityshoe-mounted inertial measurement unitsspatial navigationstatistical analysistatistical analysisstep hesitancystep time datawalking paths

Identifiers

PMID31119037
PMCPMC6498402

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.