ArticleBMC musculoskeletal disorders2015
A cohort study of 4,190 patients treated with low-intensity pulsed ultrasound (LIPUS): findings in the elderly versus all patients.
Article in BMC musculoskeletal disorders, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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.
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
24 citing papers in PubMed.
- Mechano-immune interactions in musculoskeletal aging: Mechanisms and translational perspectives.Theranostics · 2026Review
- The Effects and Mechanisms of Low-Intensity Pulsed Ultrasound on Bone Remodeling: From Laboratory to Clinic.Biomolecules · 2025Review
- The potential role of mechanotransduction in the management of pediatric calvarial bone flap repair.Biotechnology and bioengineering · 2024Review
- Article
- Review
- LIPUS as a potential strategy for periodontitis treatment: A review of the mechanisms.Frontiers in bioengineering and biotechnology · 2023Review
- Does low-intensity pulsed ultrasound accelerate phasic calcium phosphate ceramic-induced bone formation?Acta cirurgica brasileira · 2023Article
- Instructional review of key factors to achieve successful outcomes when using low-intensity pulsed ultrasound in fracture repair.EFORT open reviews · 2022Review
- Low-Intensity Pulsed Ultrasound Therapy in Patients With Post-traumatic Delayed Union and Non-union.Cureus · 2022Article
- Article
- Effect of External Mechanical Stimuli on Human Bone: a narrative review.Progress in biomedical engineering (Bristol, England) · 2022Article
- Evaluation and management of atypical femoral fractures: an update of current knowledge.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2021Review
- The use of low intensity pulsed ultrasound in the foot and ankle.EFORT open reviews · 2021Review
- Can low intensity pulsed ultrasound (LIPUS) be used as an alternative to revision surgery for patients with non-unions following fracture fixation?Journal of clinical orthopaedics and trauma · 2021Article
- Application of low-intensity pulsed therapeutic ultrasound on mesenchymal precursors does not affect their cell properties.PloS one · 2021Article
- Impact of COVID-19 on orthopaedic care: a call for nonoperative management.Therapeutic advances in musculoskeletal disease · 2020Review
- Article
- Novel Aptamer-Functionalized Nanoparticles Enhances Bone Defect Repair By Improving Stem Cell Recruitment.International journal of nanomedicine · 2019Article
- Low-Intensity Pulsed Ultrasound for Nonoperative Treatment of Scaphoid Nonunions: A Meta-Analysis.Hand (New York, N.Y.) · 2018Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPatient age is one of many potential risk factors for fracture nonunion. Our hypothesis is that older patients (≥ 60) with fracture risk factors treated with low-intensity pulsed ultrasound (LIPUS) have similar heal rate (HR) to the population as a whole. We evaluate the impact of age in conjunction with other risk factors on HR in LIPUS-treated patients with fresh fracture (≤ 90 days old).
methodsThe Exogen Bone Healing System is a LIPUS device approved in 1994 to accelerate healing of fresh fracture. After approval, the FDA required a Post-Market Registry to assess performance. Patient data collected from October 1994 until October 1998 were individually reviewed and validated by a registered nurse. Four distinct data elements were required to report a patient: date fracture occurred; date treatment began; date treatment ended; and a dichotomous outcome of healed v. failed, by clinical and radiological criteria. Data were used to calculate two derived variables; days to treatment (DTT) and days on treatment (DOT). Every validated fresh fracture patient with DTT, DOT, and outcome is reported.
resultsThe validated registry had 5,765 patients with fresh fracture; 73% (N = 4,190) are reported, while 13% of patients were lost to follow-up, 11% withdrew or were non-compliant, and 3% died or are missing outcome. Among treatment-compliant patients, HR was 96.2%. Logistic estimates of the odds ratio for healing are equivalent for patients age 30 to 79 years and all age cohorts had a HR > 94%. Open fracture, current smoking, diabetes, vascular insufficiency, osteoporosis, cancer, rheumatoid arthritis, and prescription NSAIDs all reduced HR, but older patients (≥ 60) had similar HRs to the population as a whole. DTT was significantly shorter for patients who healed (p < 0.0001).
conclusionsComorbid conditions in conjunction with aging can reduce fracture HR. Patients with fracture who used LIPUS had a 96% HR, whereas the expected HR averages 93%. Time to treatment was significantly shorter among patients who healed (p < 0.0001), suggesting that it is beneficial to begin LIPUS treatment early. Older patients (≥ 60) with fracture risk factors treated with LIPUS exhibit similar heal rates to the population as a whole.
Indexed as
Identifiers
What OpenQuestion holds
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.