Evidence map›Paper›PMID 33431916›Full record

ArticleScientific reports2021

Clinical application of the experimental ADL test for patients with cognitive impairment: pilot study.

Yong-Hyun Lim, Yookyeong Baek, Soon Ju Kang, Kyunghun Kang, Ho-Won Lee

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Yong-Hyun LimCenter of Self-Organizing Software-Platform, Kyungpook National University, Daegu, South Korea.
Yookyeong BaekDepartment of Neurology, School of Medicine, Kyungpook National University, 80 Daehakro, Bukgu, Daegu, 41566, Korea.
Soon Ju KangSchool of Electronics Engineering, College of IT Engineering, Kyungpook National University, Daegu, South Korea.
Kyunghun KangDepartment of Neurology, School of Medicine, Kyungpook National University, 80 Daehakro, Bukgu, Daegu, 41566, Korea.
Ho-Won LeeDepartment of Neurology, School of Medicine, Kyungpook National University, 80 Daehakro, Bukgu, Daegu, 41566, Korea. neuromd@knu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We employed a hospital-based Internet of Things (IoT) platform to validate the role of real-time activities of daily living (ADL) measurement as a digital biomarker for cognitive impairment in a hospital setting. Observational study. 12 patients with dementia, 11 patients with mild cognitive impairment (MCI), and 15 cognitively normal older adults. The results of 13 experimental ADL tasks were categorized into success or fail. The total number of successful task and the average success proportion of each group was calculated. Time to complete the total tasks was also measured. Patients with dementia, patients with MCI, and cognitively normal older adults performed 13 experimental ADL tasks in a hospital setting. Significant differences in the average success rate of 13 tasks were found among groups. Dementia group showed the lowest success proportion (49.3%) compared with MCI group (78.3%) and normal group (97.4%). Correlation between classical ADL scales and the number of completed ADL tasks was statistically significant. In particular, instrumental ADL (I-ADL) had stronger relationship with the number of completed ADL tasks than Barthel's ADL (B-ADL). Dementia group required more time to accomplish the tasks when compared to MCI and normal groups. This study demonstrated that there is a clear relationship between the performance of experimental ADL tasks and the severity of cognitive impairment. The evaluation of ADLs involving the IoTs platform in an ecological setting allows accurate assessment and quantification of the patient's functional level.

Indexed as

Activities of Daily LivingAgedAged, 80 and overCase-Control StudiesCognitive DysfunctionFemaleGeriatric AssessmentHumansMalePilot Projects

Identifiers

PMID33431916
PMCPMC7801471

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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.