Trial reportJournal of the American Academy of Orthopaedic Surgeons. Global research & reviews2022
A Novel Mobile App-based Neuromuscular Electrical Stimulation Therapy for the Management of Knee Osteoarthritis: Results From an Extension Study of a Randomized, Double-blind, Sham-controlled, Multicenter Trial.
Trial report in Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 4 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
5 citing papers in PubMed, 4 syntheses or guidelines pooled it, 3 citations in OpenAlex.
- Noninvasive electrical stimulation on pain and function in knee osteoarthritis in middle-aged and older adults: systematic review and meta-analysis of randomized clinical trials.Frontiers in medicine · 2026Pooled it
- Effects of combined blood flow restriction and neuromuscular electrical stimulation versus neuromuscular electrical stimulation alone on skeletal muscle hypertrophy and strength in adults: a systematic review.Frontiers in physiology · 2026Pooled it
- Impact of 25 Years of Mobile Health Tools for Pain Management in Patients With Chronic Musculoskeletal Pain: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Current status and research gaps of neuromodulation in the rehabilitation of knee osteoarthritis: a scoping review.Frontiers in neurologyPooled it
- Non-Pharmacological Complementary and Alternative Therapies for Knee Osteoarthritis: A Scoping Review of Randomized Controlled Trials.Journal of pain research · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMobile app-based neuromuscular electrical stimulation (NMES) is a promising treatment of knee osteoarthritis as previously demonstrated in a 12-week, randomized, double-blind, sham-controlled, multicenter trial (parent study).
methodsSixty-four of the 253 patients with knee osteoarthrosis who completed the 12-week parent study were enrolled in a 14-week extension study during which they continued to receive double-blind, home-based NMES (two 20-minute daily sessions, 5 d/wk) with either the original device ("active NMES") or a low-voltage version ("sham NMES"). All subjects who enrolled in the extension study comprised the intent-to-treat population and subjects who applied NMES (compliance monitored through the mobile app and a remote portal) for at least 2,800 minutes (14-week device usage) comprised the per-protocol therapy compliant population.
resultsIn the per-protocol therapy compliant population, the active NMES group (n = 21) had a higher reduction in Visual Analog Scale Nominated Activity (64.7% versus 24.3%, P = 0.020) and Visual Analog Scale Nominated Activity improvement ≥50% (76.2% versus 12.5%, P = 0.002) than the sham NMES group (n = 8). Outcomes were not markedly different between groups in the intent-to-treat population. DISCUSSION: Applying NMES therapy for an additional 14 weeks (totaling 26 weeks) resulted in notable and clinically meaningful pain relief when patients were fully compliant with NMES.
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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.