Evidence mapPaperPMID 34675495Full record

ArticleClinical interventions in aging2021

The Added Value of Combined Timed Up and Go Test, Walking Speed, and Grip Strength on Predicting Recurrent Falls in Chinese Community-dwelling Elderly.

Lu Wang, Peiyu Song, Cheng Cheng, Peipei Han, Liyuan Fu, Xiaoyu Chen, Hairui Yu, Xing Yu, Lin Hou, Yuanyuan Zhang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Clinical interventions in aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Effects of a gait training program with the FisiorBMC complementary medicine and therapies · 2026
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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

11 authors at 3 institutions in 1 country.

Lu WangDepartment of Rehabilitation, School of Medical Technology, Tianjin Medical University, Tianjin, People's Republic of China.
Peiyu Song *Department of Rehabilitation, School of Medical Technology, Tianjin Medical University, Tianjin, People's Republic of China.
Cheng Cheng *Department of Rehabilitation, School of Medical Technology, Tianjin Medical University, Tianjin, People's Republic of China.
Peipei HanCollege of Rehabilitation Sciences, Shanghai University of Medicine and Health Sciences, Shanghai, People's Republic of China.
Liyuan FuDepartment of Rehabilitation, School of Medical Technology, Tianjin Medical University, Tianjin, People's Republic of China.
Xiaoyu ChenCollege of Rehabilitation Sciences, Shanghai University of Medicine and Health Sciences, Shanghai, People's Republic of China.
Hairui YuDepartment of Rehabilitation, School of Medical Technology, Tianjin Medical University, Tianjin, People's Republic of China.
Xing YuDepartment of Rehabilitation, School of Medical Technology, Tianjin Medical University, Tianjin, People's Republic of China.
Lin HouDepartment of Rehabilitation, School of Medical Technology, Tianjin Medical University, Tianjin, People's Republic of China.
Yuanyuan ZhangDepartment of Rehabilitation, School of Medical Technology, Tianjin Medical University, Tianjin, People's Republic of China.
Qi GuoDepartment of Rehabilitation, School of Medical Technology, Tianjin Medical University, Tianjin, People's Republic of China.ORCID 0000-0003-0439-8274
Tianjin Medical University · CNShanghai University of Medicine and Health Sciences · CNTianjin Huanhu Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine whether combined performance-based models could exert better predictive values toward discriminating community-dwelling elderly with high risk of any-falls or recurrent-falls. PARTICIPANTS AND

methodsThis prospective cohort study included a total of 875 elderly participants (mean age: 67.10±5.94 years) with 513 females and 362 males, recruited from Hangu suburb area of Tianjin, China. All participants completed comprehensive assessments.

methodsWe documented information about sociodemographic information, behavioral characteristics and medical conditions. Three functional tests-timed up and go test (TUGT), walking speed (WS), and grip strength (GS) were used to create combined models. New onsets of any-falls and recurrent-falls were ascertained at one-year follow-up appointment.

resultsIn total 200 individuals experienced falls over a one-year period, in which 66 individuals belonged to the recurrent-falls group (33%). According to the receiver operating characteristic curve (ROC), the cutoff points of TUGT, WS, and GS toward recurrent-falls were 10.31 s, 0.9467 m/s and 0.3742 kg/kg respectively. We evaluated good performance as "+" while poor performance as "-". After multivariate adjustment, we found "TUGT >10.31 s" showed a strong correlation with both any-falls (adjusted odds ratio (OR)=2.025; 95% confidence interval (CI)=1.425-2.877) and recurrent-falls (adjusted OR=2.150; 95%CI=1.169-3.954). Among combined functional models, "TUGT >10.31 s, GS <0.3742 kg/kg, WS >0.9467 m/s" showed strongest correlation with both any-falls (adjusted OR=5.499; 95%CI=2.982-10.140) and recurrent-falls (adjusted OR=8.260; 95%CI=3.880-17.585). And this combined functional model significantly increased discriminating abilities on screening recurrent-fallers than a single test (C-statistics=0.815, 95%CI=0.782-0.884,

conclusionElderly people with poor TUGT performance, weaker GS but quicker WS need to be given high priority toward fall prevention strategies for higher risks and frequencies. Meanwhile, the combined "TUGT-, GS-, WS+" model presents increased discriminating ability and could be used as a conventional tool to discriminate recurrent-fallers in clinical practice.

Indexed as

Independent LivingWalking SpeedAgedChinaFemaleHand StrengthHumansMalePostural BalanceProspective StudiesTime and Motion Studieselderlyincreased predictive valuephysical functional performancerecurrent-falls

Identifiers

PMID34675495
PMCPMC8502011
OpenAlexW3203059946

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 Socratic graph.