Evidence map›Paper›PMID 36789127›Full record

ArticleFujita medical journal2023

The use of a companion robot to improve depression symptoms in a community-dwelling older adult during the coronavirus disease 2019 state of emergency.

Kei Ito, Shota Suzumura, Yoshikiyo Kanada, Rie Narukawa, Hiroaki Sakurai, Isao Makino, Tomoaki Abiko, Shigeo Oi, Izumi Kondo

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Fujita medical journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 98% of its field
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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 1 country.

Kei ItoDepartment of Rehabilitation Medicine, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Shota SuzumuraDepartment of Rehabilitation Medicine, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Yoshikiyo KanadaFaculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Aichi, Japan.
Rie NarukawaDepartment of Rehabilitation Medicine, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Hiroaki SakuraiFaculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Aichi, Japan.
Isao MakinoTogo Seisakusyo Corporation, Togo, Aichi, Japan.
Tomoaki AbikoTogo Seisakusyo Corporation, Togo, Aichi, Japan.
Shigeo OiTogo Seisakusyo Corporation, Togo, Aichi, Japan.
Izumi KondoDepartment of Rehabilitation Medicine, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
National Center for Geriatrics and Gerontology · JPFujita Health University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: We investigated the impact of using a companion robot on the mental state of a community-dwelling older adult who was receiving home-visit rehabilitation services during the state of emergency for coronavirus disease 2019 (COVID-19). Methods: This case involved an 80-year-old woman with compression fractures of lumbar vertebrae 1 and 2. Her medical history included hypothyroidism, hypertension, dyslipidemia, and depression. The companion robot used was Smibi Results: The SDS score decreased from 37 points to 26 points after the use of Smibi Conclusion: Our findings suggest that interacting with Smibi

Indexed as

Companion robotDepressionNovel coronavirus pandemicState of emergency

Identifiers

PMID36789127
PMCPMC9923449
OpenAlexW4320857314

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.