Evidence map›Paper›PMID 29430858›Full record

ArticleOrthopaedic surgery2018

Clinical Gait Evaluation of Patients with Lumbar Spine Stenosis.

Jun Sun, Yan-Cheng Liu, Song-Hua Yan, Sha-Sha Wang, D Kevin Lester, Ji-Zhou Zeng, Jun Miao, Kuan Zhang

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Orthopaedic surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
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  8. Observational
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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

8 authors at 4 institutions in 2 countries.

Jun SunDepartment of School of Biomedical Engineering, Capital Medical University, Beijing, China.
Yan-Cheng LiuDepartment of Spinal Surgery, Tianjin Hospital, Tianjin, China.
Song-Hua YanDepartment of School of Biomedical Engineering, Capital Medical University, Beijing, China.
Sha-Sha WangOrthopaedic Private Practice, Fresno, California, USA.
D Kevin LesterOrthopaedic Private Practice, Fresno, California, USA.
Ji-Zhou ZengDepartment of Orthopaedics, Beijing Luhe Hospital, Capital Medical University, Beijing, China.
Jun MiaoDepartment of Spinal Surgery, Tianjin Hospital, Tianjin, China.
Kuan ZhangDepartment of School of Biomedical Engineering, Capital Medical University, Beijing, China.
Capital Medical University · CNCalifornia State University, Fresno · USTianjin Hospital · CNBeijing Luhe Hospital Affiliated to Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe third generation Intelligent Device for Energy Expenditure and Activity (IDEEA3, MiniSun, CA) has been developed for clinical gait evaluation, and this study was designed to evaluate the accuracy and reliability of IDEEA3 for the gait measurement of lumbar spinal stenosis (LSS) patients.

methodsTwelve healthy volunteers were recruited to compare gait cycle, cadence, step length, velocity, and number of steps between a motion analysis system and a high-speed video camera. Twenty hospitalized LSS patients were recruited for the comparison of the five parameters between the IDEEA3 and GoPro camera. Paired t-test, intraclass correlation coefficient, concordance correlation coefficient, and Bland-Altman plots were used for the data analysis.

resultsThe ratios of GoPro camera results to motion analysis system results, and the ratios of IDEEA3 results to GoPro camera results were all around 1.00. All P-values of paired t-tests for gait cycle, cadence, step length, and velocity were greater than 0.05, while all the ICC and CCC results were above 0.950 with P < 0.001.

conclusionsThe measurements for gait cycle, cadence, step length, velocity, and number of steps with the GoPro camera are highly consistent with the measurements with the motion analysis system. The measurements for IDEEA3 are consistent with those for the GoPro camera. IDEEA3 can be effectively used in the gait measurement of LSS patients.

Indexed as

Lumbar VertebraeAccelerometryAdultAgedFemaleGaitHealthy VolunteersHumansMaleMiddle AgedReproducibility of ResultsSpinal StenosisVideo RecordingYoung AdultGait analysisIDEEA3Lumbar spine stenosisPortable gait analyzer

Identifiers

PMID29430858
PMCPMC6594491
OpenAlexW2789884289

What OpenQuestion holds

Textmetadata
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.