Evidence map›Paper›PMID 36317036›Full record

ArticleIranian journal of public health2021

The Application of 'Timed up and Go' Test in Fall Screening of Elderly People in Shanghai: A Cross-Sectional Study.

Jian Wang, Xiuqin Chen, Xiaoming Sun, Huifen Ma, Yan Yu, Chunxia Yao, Zhipeng Li, Limei Huang, Qi Zhao

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

Article in Iranian journal of public health, 2021. 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
2.5field-weighted citation impact, top 10% 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, 9 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

9 authors at 1 institution in 1 country.

Jian WangDepartment of General Practice, Zhongshan Hospital, Fudan University, Shanghai, China.
Xiuqin ChenInjury Prevention Division, Songjiang District Center for Disease Control and Prevention, Shanghai, China.
Xiaoming SunDepartment of General Practice, Shanghai Medical College, Fudan University, Shanghai, China.
Huifen MaInjury Prevention Division, Songjiang District Center for Disease Control and Prevention, Shanghai, China.
Yan YuInjury Prevention Division, Shanghai Municipal Center for Disease Control and Prevetion, Shanghai, China.
Chunxia YaoInjury Prevention Division, Songjiang District Center for Disease Control and Prevention, Shanghai, China.
Zhipeng LiDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
Limei HuangInjury Prevention Division, Songjiang District Center for Disease Control and Prevention, Shanghai, China.
Qi ZhaoDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: We aimed to evaluate the predictive value of the 'Timed Up and Go' test (TUGT) for identifying fall risk in community-dwelling elderly. Methods: From Aug 2016 to Feb 2017, cluster sampling was conducted among residents aged over 60 from 15 communities in Songjiang district, Shanghai. Face-to-face questionnaire interviews and TUGT measures were conducted to collect data. Results: 6,014 participants were enrolled, with an average age 72.7±7.0 years. 637 (10.6%) elderly people had a fall experience in the past year. TUGT for the non-fall group, one-fall group and recurrent-fall group was 9.02±4.39, 10.00±5.26 and 10.78±4.51 seconds respectively ( Conclusion: TUGT with the cut-off score of 12.5s has limited capability in predicting fall risk in community-dwelling elderly.

Indexed as

ElderlyFall riskReceiver operatingScreeningTimed up

Identifiers

PMID36317036
PMCPMC9577144
OpenAlexW3217197794

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.