Evidence map›Paper›PMID 39943285›Full record

ArticleSensors (Basel, Switzerland)2025

Application of Smart Insoles in Assessing Dynamic Stability in Patients with Chronic Ankle Instability: A Comparative Study.

Seonghyun Kang, Jaewook Kim, Yekwang Kim, Juhui Moon, Hak Jun Kim, Seung-Jong Kim

Abstract readComparative Study
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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
–field-weighted citation impact
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.

  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

6 authors.

Seonghyun KangDepartment of Biomedical Engineering, Korea University College of Medicine, Seoul 02841, Republic of Korea.ORCID 0000-0001-6252-5310
Jaewook KimDepartment of Biomedical Engineering, Korea University College of Medicine, Seoul 02841, Republic of Korea.ORCID 0000-0002-6727-9101
Yekwang KimDepartment of Biomedical Engineering, Korea University College of Medicine, Seoul 02841, Republic of Korea.ORCID 0009-0001-8817-4448
Juhui MoonDepartment of Biomedical Engineering, Korea University College of Medicine, Seoul 02841, Republic of Korea.ORCID 0000-0001-6657-3299
Hak Jun KimDepartment of Orthopaedic Surgery, Korea University Guro Hospital, Seoul 08308, Republic of Korea.ORCID 0000-0003-3633-6174
Seung-Jong KimDepartment of Biomedical Engineering, Korea University College of Medicine, Seoul 02841, Republic of Korea.ORCID 0000-0002-9609-1116

Funding

Ministry of Health and Welfare MD-PhD/Medical Scientist Training ProgramMinistry of Health and Welfare RS-2022-KH129263
6 · The paper itself

Abstract

Chronic ankle instability (CAI), due to its chronic nature and biomechanical complexity, is well-suited for continuous monitoring and tele-rehabilitation using wearable sensor technology. This study assessed whether a smart insole system, equipped with 4 force-sensing resistor sensors and an inertial measurement unit, combined with functional tests and biomechanical indices, could distinguish CAI patients from healthy controls. A total of 21 CAI patients (23.8 ± 5.1 years) and 16 controls (22.62 ± 2.60 years) completed a battery of functional performance tests while wearing the smart insole system. The results showed an increased medial-lateral pressure ratio in the CAI during heel raise (

Indexed as

Ankle JointFoot OrthosesJoint InstabilityAdultAnkleBiomechanical PhenomenaChronic DiseaseFemaleHumansMalePostural BalanceWearable Electronic DevicesYoung Adultankle functional testsbiomechanicschronic ankle instabilityquantitative assessmentsmart insole

Identifiers

PMID39943285
PMCPMC11820838

What OpenQuestion holds

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LicenceCC BY
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.