Evidence map›Paper›PMID 33194634›Full record

ArticleFrontiers in oncology2020

A Short-Term Effect of Wearable Technology-Based Lifestyle Intervention on Body Composition in Stage I-III Postoperative Breast Cancer Survivors.

Changming Zhou, Miao Mo, Zezhou Wang, Jie Shen, Jiajian Chen, Lichen Tang, Jiajia Qiu, Yiqun Ling, Huiping Ding, Qin Jiang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

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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

13 authors at 2 institutions in 1 country.

Changming ZhouDepartment of Cancer Prevention, Fudan University Shanghai Cancer Center, Shanghai, China.
Miao MoDepartment of Cancer Prevention, Fudan University Shanghai Cancer Center, Shanghai, China.
Zezhou WangDepartment of Cancer Prevention, Fudan University Shanghai Cancer Center, Shanghai, China.
Jie ShenDepartment of Cancer Prevention, Fudan University Shanghai Cancer Center, Shanghai, China.
Jiajian ChenDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Lichen TangDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Jiajia QiuDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Yiqun LingDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Huiping DingDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Qin JiangShanghai Ruochu Information Technology Co., Ltd., Shanghai, China.
Hui WangHuami Information Technology Co., Ltd., Beijing, China.
Zhimin ShaoDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Ying ZhengDepartment of Cancer Prevention, Fudan University Shanghai Cancer Center, Shanghai, China.
Fudan University Shanghai Cancer Center · CNShanghai Medical College of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimA healthy body composition can improve the prognosis of breast cancer survivors. The study aimed to describe the body composition profile of breast cancer survivors and find out whether a short-term (3 months) wearable device-based lifestyle intervention had an effect on patients' body weight and body composition.

methodsA before-and-after study was conducted on patients with stage I-III postoperative breast cancer, aged 18-70 years. Body composition was analyzed at baseline, and then patients went for a health education program. A wearable activity tracker and a goal of calorie consumption based on each individual's weight were provided to each participant, and they were required to be equipped for 90 days. After 3 months, body composition was analyzed again.

resultsOf 113 patients who completed the study, 65.49% showed a normal body mass index (BMI) at baseline assessment, 71.68% had a body fat percentage of more than 30%, and 41.59% had less skeleton muscle mass. During the intervention, the daily step count was 8,851.28 ± 2,399.31, and 59.21% reached the set goal calorie consumption. After a 3-month intervention, the patients had a significant reduction in body weight, fat mass, BMI, body fat percentage, and visceral fat area, but not in protein mass and skeleton muscle mass. Patients of different age, molecular classification, and therapy benefited from the intervention.

conclusionWearable technology with body composition analysis and health education for breast cancer survivors may help reduce weight and improve body composition even in a short time. CLINICAL

trial registrationhttp://www.chictr.org.cn/showproj.aspx?proj=40672, identifier ChiCTR1900024258.

Indexed as

body compositionbody weightbreast cancerlife-style interventionwearable technology

Identifiers

PMID33194634
PMCPMC7606948
OpenAlexW3093813377

What OpenQuestion holds

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LicenceCC BY
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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.