Evidence map›Paper›PMID 38020347›Full record

ArticleChina CDC weekly2023

Impact of Daily Step Count on Diabetes Management and Complications Among Elderly Individuals - Jiangsu Province, China, 2020-2022.

Peng Yu, Xuejian Ni, Li Xu, Lei Zhang, Ling Cao, Qiyu Chen, Yixin Hu, Kun Qian, Xiaoying Li, Xiaomu Li and 1 more

Open access · diamondAbstract read
In one paragraph

Article in China CDC weekly, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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

11 authors at 2 institutions in 2 countries.

Peng YuDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.
Xuejian NiTaiping Community Healthcare Center, Suzhou City, Jiangsu Province, China.
Li XuYuanhe Community Healthcare Center, Suzhou City, Jiangsu Province, China.
Lei ZhangDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.
Ling CaoDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.
Qiyu ChenDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.
Yixin HuDepartment of Information and Intelligence Development, Zhongshan Hospital, Fudan University, Shanghai, China.
Kun QianDepartment of Information and Intelligence Development, Zhongshan Hospital, Fudan University, Shanghai, China.
Xiaoying LiDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.
Xiaomu LiDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.
Jianying GuDepartment of Information and Intelligence Development, Zhongshan Hospital, Fudan University, Shanghai, China.
Sun Yat-sen University · CNCommunity Health Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: Current literature underscores the significance of appropriate physical activity in managing diabetes, primarily utilizing self-reported data. Yet, the impact of objectively measured physical activity in older diabetic populations remains unclear. What is added by this report?: Our research on elderly diabetic patients indicated a correlation between an increased number of daily steps and improved metabolic profiles, as well as a decrease in the incidence of cardiovascular complications. What are the implications for public health practice?: Elevated daily step counts may confer significant benefits to elderly individuals with diabetes. The use of devices to monitor these steps could serve as a potent cardiovascular marker, and hold great potential as a screening or intervention tool in community-oriented settings.

Indexed as

Daily Step CountsDiabetic ComplicationsGeriatric DiabetesOff-site Monitoring

Identifiers

PMID38020347
PMCPMC10652082
OpenAlexW4388579005

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
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 Socratic graph.