Evidence map›Paper›PMID 31144172›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2020

Usefulness of Kinect sensor-based reachable workspace system for assessing upper extremity dysfunction in breast cancer patients.

Kyeong Eun Uhm, Seunghwan Lee, Gregorij Kurillo, Jay J Han, Jung-Hyun Yang, Young Bum Yoo, Jongmin Lee

Abstract read
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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Is Xbox 360 Kinect-based virtual reality training as effective as standard physiotherapy in patients undergoing breast cancer surgery?Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2020
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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

7 authors.

Kyeong Eun UhmDepartment of Rehabilitation Medicine, Konkuk University School of Medicine, Seoul, South Korea.
Seunghwan LeeDepartment of Rehabilitation Medicine, Konkuk University School of Medicine, Seoul, South Korea.
Gregorij KurilloDepartment of Orthopaedic Surgery, University of California San Francisco, San Francisco, CA, USA.
Jay J HanDepartment of Physical Medicine and Rehabilitation, School of Medicine, University of California at Irvine, Orange, CA, USA.
Jung-Hyun YangDepartment of Surgery, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, South Korea.
Young Bum YooDepartment of Surgery, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, South Korea.
Jongmin LeeDepartment of Rehabilitation Medicine, Konkuk University School of Medicine, Seoul, South Korea. leej@kuh.ac.kr.ORCID http://orcid.org/0000-0001-8718-0099

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeRecently, the utility of the Kinect sensor-based reachable workspace analysis system for measuring upper extremity outcomes of neuromuscular and musculoskeletal diseases has been demonstrated. Here, we investigated its usefulness for assessing upper extremity dysfunction in breast cancer patients.

methodsTwenty unilateral breast cancer patients were enrolled. Upper extremity active range of motion was captured by the Kinect sensor, and reachable workspace relative surface areas (RSAs) were obtained. The QuickDASH was completed to assess upper extremity disability. General and breast cancer-specific quality of life (QOL) were assessed by the EORTC QLQ-C30 and EORTC QLQ-BR23.

resultsThe total RSA ratio of the affected and unaffected sides ranges from 0.64 to 1.11. Total RSA was significantly reduced on the affected versus unaffected side (0.659 ± 0.105 vs. 0.762 ± 0.065; p = 0.001). Quadrant 1 and 3 RSAs were significantly reduced (0.135 ± 0.039 vs. 0.183 ± 0.040, p < 0.001; 0.172 ± 0.058 vs. 0.217 ± 0.031, p = 0.006). Total RSA of the affected side was strongly correlated with the numeric pain rating scale during movement (r = - 0.812, p < 0.001) and moderately with the QuickDASH (r = - 0.494, p = 0.027). Further, quadrant 3 RSA was correlated with EORTC QLQ-C30 role functioning (r = 0.576, p = 0.008) and EORTC QLQ-BR23 arm symptoms (r = - 0.588, p = 0.006) scales.

conclusionsThe Kinect sensor-based reachable workspace analysis system was effectively applied to assess upper extremity dysfunction in breast cancer patients. This system could potentially serve as a quick and simple outcome measure that provides quantitative data for breast cancer patients.

Indexed as

AdultAgedBreast NeoplasmsFemaleHealth StatusHumansMiddle AgedMovementMusculoskeletal DiseasesOutcome Assessment, Health CarePainQuality of LifeRange of Motion, ArticularSurveys and QuestionnairesUpper ExtremityBreast cancerDisabilityKinectReachable workspaceUpper extremity

Identifiers

PMID31144172

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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.