Evidence map›Paper›PMID 38813371›Full record

ArticleFrontiers in rehabilitation sciences2024

Perturbation-based dual task assessment in older adults with mild cognitive impairment.

Lakshmi Kannan, Jessica Pitts, Tony Szturm, Rudri Purohit, Tanvi Bhatt

Abstract read
In one paragraph

Article in Frontiers in rehabilitation sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Lakshmi Kannan *Department of Physical Therapy, University of Illinois at Chicago, Chicago, IL, United States.
Jessica Pitts *Department of Physical Therapy, University of Illinois at Chicago, Chicago, IL, United States.
Tony SzturmDepartment of Physical Therapy, University of Manitoba, Winnipeg, MB, Canada.
Rudri PurohitDepartment of Physical Therapy, University of Illinois at Chicago, Chicago, IL, United States.
Tanvi BhattDepartment of Physical Therapy, University of Illinois at Chicago, Chicago, IL, United States.

Funding

Pilot CoreP30AG022849 · NIA · UNIVERSITY OF ILLINOIS AT CHICAGO · PI Tanvi Bhatt, DAVID X MARQUEZ · 2003 to 2026
$14.7M
Neuromechanisms of falls in older adults with MCI: Targeting assessment and training of reactive balance controlR01AG073152 · NIA · UNIVERSITY OF ILLINOIS AT CHICAGO · PI Tanvi Bhatt · 2021 to 2026
$2.9M
NIA NIH HHS P30 AG022849NIA NIH HHS R01 AG073152
6 · The paper itself

Abstract

Background: Dual tasking (i.e., concurrent performance of motor and cognitive task) is significantly impaired in older adults with mild cognitive impairment (OAwMCI) compared to cognitively intact older adults (CIOA) and has been associated with increased fall risk. Dual task studies have primarily examined volitionally driven events, and the effects of mild cognitive impairment on reactive balance control (i.e., the ability to recover from unexpected balance threats) are unexplored. We examined the effect of cognitive tasks on reactive balance control in OAwMCI compared to CIOA. Methods: Adults >55 years were included and completed the Montreal Cognitive Assessment (MoCA) to categorize them as OAwMCI (MoCA: 18-24, Results: Compared to CIOA, OAwMCI exhibited significantly deteriorated MOS and greater number of falls during both single task and dual task ( Conclusion: Cognitive impairment may diminish the ability to compensate and provide attentional resources demanded by sensory systems to integrate perturbation specific information, resulting in deteriorated ability to recover balance control among OAwMCI.

Indexed as

cognitiondual taskfall riskmild cognitive impairmentreactive balance

Identifiers

PMID38813371
PMCPMC11133526

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Registered trials

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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.