ArticleJournal of spine surgery (Hong Kong)2019
Proposed objective scoring algorithm for assessment and intervention recovery following surgery for lumbar spinal stenosis based on relevant gait metrics from wearable devices: the Gait Posture index (GPi).
Article in Journal of spine surgery (Hong Kong), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.
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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.
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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.
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Who cites it
22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.
- Pooled it
- Readiness for implementation of novel digital health interventions for postoperative monitoring: a systematic review and clinical innovation network analysis.The Lancet. Digital health · 2023Pooled it
- Clinical utility and methodological implementation of smartphone-based mobility analysis: a scoping review.Journal of neurology · 2026Article
- Gait analysis in degenerative lumbar spine diseases: clinical applications, biomarkers, and emerging technologies - a systematic review.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026Review
- Continuous data capture of gait and mobility metrics using wearable devices for postoperative monitoring in common elective orthopaedic procedures of the hip, knee, and spine: a scoping review.Journal of orthopaedic surgery and research · 2023Article
- Article
- The concept of recovery kinetics: an observational study of continuous post-operative monitoring in spine surgery.Journal of spine surgery (Hong Kong) · 2022Article
- Inter-bout and intra-bout gait variability-proposed objective measures of gait deterioration during prolonged walking in spine care.Journal of spine surgery (Hong Kong) · 2022Article
- Wearable sensor technology in spine care.Journal of spine surgery (Hong Kong) · 2022Article
- Tracking the disease progression of lumbar spinal stenosis using objective gait metrics: a case report.Journal of spine surgery (Hong Kong) · 2022Article
- Gait assessment tools for degenerative cervical myelopathy: a systematic review.Journal of spine surgery (Hong Kong) · 2022Review
- Two-year continuous data capture using a wearable sensor to remotely monitor the surgical spine patient: a case report.Journal of spine surgery (Hong Kong) · 2022Article
- Article
- A Multicenter Evaluation of the Feasibility, Patient/Provider Satisfaction, and Value of Virtual Spine Consultation During the COVID-19 Pandemic.World neurosurgery · 2021Article
- From the Subjective to the Objective era of outcomes analysis: how the tools we use to measure outcomes must change to be reflective of the pathologies we treat in spinal surgery.Journal of spine surgery (Hong Kong) · 2021Article
- Proposed objective scoring algorithm for walking performance, based on relevant gait metrics: the Simplified Mobility Score (SMoS™)-observational study.Journal of orthopaedic surgery and research · 2021Observational
- Wearable devices for patient monitoring in the early postoperative period: a literature review.mHealth · 2021Review
- COVID-19 is shifting the adoption of wearable monitoring and telemedicine (WearTel) in the delivery of healthcare: opinion piece.Annals of translational medicine · 2020Article
- Daily step count and walking speed as general measures of patient wellbeing.Journal of spine surgery (Hong Kong) · 2020Article
- Gait velocity (walking speed) is an indicator of spine health, and objective measure of pre and post intervention recovery for spine care providers.Journal of spine surgery (Hong Kong) · 2020Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLumbar spinal stenosis (LSS) results in significant pain and disability. As spine healthcare providers, monitoring patient's outcomes is of the highest importance, and guides everything we do. However, a large amount of our data has been based solely on subjective, single time-point outcome tools limited by their subjective nature.
methodsWe herein propose a novel, simple objective scoring system, the Gait Posture index (GPi). Four key objective health metrics, which can be measured using wearable devices have been identified to correlate with health status: (I) step count; (II) gait velocity; (III) step length; (IV) posture. An algorithm combining the above metrics was established to 'score' patient's ambulation from 0 (bed bound)-100 (excellent mobility and gait function). Thirteen surgical patients were assigned to the GPi scoring algorithm and compared with traditional subjective scoring systems Oswestry Disability Index (ODI) and Patient Satisfaction Index (PSI) as a proof of concept and confirmation of validity.
resultsAt 3 months, 11 out of 13 patients following decompression for LSS had an improvement with their GPi 20.79±17.44, P=0.001. In addition, Pearson correlation revealed positive correlation between change in GPi with change in ODI (r=0.682, n=13, P=0.01) and negative correlation between change in GPi with PSI (r=-0.618, n=13, P=0.024).
conclusionsThe GPi algorithm correlates accurately with preoperative and post-operative mobility which are comparable to traditional subjective scoring systems. GPi affords the health care provider with a relevant measure of patient outcome, and real-time recovery dynamics following decompression for LSS.
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Registered trials
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.