Evidence map›Paper›PMID 26053187›Full record

ArticleAmerican journal of physical medicine & rehabilitation2016

Gait Efficiency on an Uneven Surface Is Associated with Falls and Injury in Older Subjects with a Spectrum of Lower Limb Neuromuscular Function: A Prospective Study.

Katie Zurales, Trina K DeMott, Hogene Kim, Lara Allet, James A Ashton-Miller, James K Richardson

Abstract read
In one paragraph

Article in American journal of physical medicine & rehabilitation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
5.0field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 32 citations in OpenAlex.

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  11. Osteosarcopenia School.Journal of frailty, sarcopenia and falls · 2021
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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

6 authors at 3 institutions in 2 countries.

Katie ZuralesFrom the Department of Physical Medicine and Rehabilitation, University of Michigan Health System, Ann Arbor, Michigan (KZ, TKD, JKR); Department of Physiotherapy, University of Applied Sciences of Western Switzerland, Geneva, Switzerland (LA); and Department of Mechanical Engineering, Biomechanics Research Laboratory, University of Michigan, Ann Arbor, Michigan (HK, JAA-M).
Trina K DeMott
Hogene Kim
Lara Allet
James A Ashton-Miller
James K Richardson
HES-SO University of Applied Sciences and Arts Western Switzerland · CHPain and Rehabilitation Medicine · USUniversity of Michigan–Ann Arbor · US

Funding

Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Neil Alexander · 2004 to 2026
$29.2M
Neuropathic Gait, Irregular Surfaces and Fall RiskR01AG026569 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RICHARDSON, JAMES K · 2008 to 2012
$1.5M
NIA NIH HHS P30 AG024824NIA NIH HHS P30AG024824NIA NIH HHS R01 AG026569NIA NIH HHS R01 AG026569-01
6 · The paper itself

Abstract

objectiveThe objective of this study was to determine which gait measures on smooth and uneven surfaces predict falls and fall-related injuries in older subjects with diabetic peripheral neuropathy.

designTwenty-seven subjects (12 women) with a spectrum of peripheral nerve function ranging from normal to moderately severe diabetic peripheral neuropathy walked on smooth and uneven surfaces, with gait parameters determined by optoelectronic kinematic techniques. Falls and injuries were then determined prospectively over the following year.

resultsSeventeen subjects (62.9%) fell and 12 (44.4%) sustained a fall-related injury. As compared with nonfallers, the subject group reporting any fall, as well as the subject group reporting fall-related injury, demonstrated decreased speed, greater step width (SW), shorter step length (SL), and greater SW-to-SL ratio (SW:SL) on both surfaces. Uneven surface SW:SL was the strongest predictor of falls (pseudo-r = 0.65; P = 0.012) and remained so with inclusion of other relevant variables into the model. Post hoc analysis comparing injured with noninjured fallers showed no difference in any gait parameter.

conclusionSW:SL on an uneven surface is the strongest predictor of falls and injuries in older subjects with a spectrum of peripheral neurologic function. Given the relationship between SW:SL and efficiency, older neuropathic patients at increased fall risk appear to sacrifice efficiency for stability on uneven surfaces.

Indexed as

Accidental FallsFloors and FloorcoveringsAgedDiabetic NeuropathiesEnvironment DesignFemaleFollow-Up StudiesGaitHumansMaleMiddle AgedPostural BalanceProspective StudiesRisk FactorsSurface PropertiesWounds and Injuries

Identifiers

PMID26053187
PMCPMC4670600
OpenAlexW656811516

What OpenQuestion holds

Textmetadata
LicenceTDM
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.