Trending Degenerative News:
- Do postoperative changes in physical function affect patient-reported outcomes in patients with lumbar spinal stenosis undergoing rehabilitation? A secondary analysis of a randomized controlled trial
- Correction: Impact of coexisting lumbar spinal stenosis and sleep disorders on fall risk: a cross-sectional study of community-dwelling residents (locomotive syndrome and health outcome in Aizu cohort study)
- Aurora Spine Announces Launch of its DEXA-L™ Anterior Lumbar Interbody Fusion Device
- Answer to the Letter to the Editor of P. Aphale, et al. concerning “Comparison of saline consumption between microdiscectomy, uniportal, and biportal endoscopic lumbar disc surgery: A multicenter observational study” by X. Castel, et al. (Eur Spine J [2025]; doi: 10.1007/s00586-025-09256-3)
- Artificial intelligence transforms lumbar spine modeling for faster patient care
- Correction: Answer to the Letter to the Editor of J. Tu, et al. concerning “Patient reported outcome measures and satisfaction after laminectomy for degenerative cervical myelopathy in octogenarians: an observational study from the National Swedish spine registry” by V. G. El-Hajj, et al. (Eur spine J [2025]; doi:10.1007/s00586-025-08890-1)
- Answer to the letter to the editor of J. Deng, et al. concerning “impact of nonunion on patient-related outcomes after single level minimally invasive transforaminal lumbar interbody fusion for lumbar degenerative disease: a propensity score–matched analysis” by Yamamoto T, et al. (Eur spine J [2025]; doi: 10.1007/s00586-025-09296-9)
- Answer to the letter to the editor of M. Zhang, et al. concerning “Effect of thoracic mobilization on acromio-humeral distance, thoracic kyphosis angle, pain and shoulder function in patients with subacromial impingement syndrome: a randomized controlled trial” by Calik M, et al. (Eur spine J [2025]; doi:10.1007/s00586-025-09144-w)
- Letter to the Editor regarding “The simple etiology of scoliosis, low back pain, and herniated lumbar disks.” by O'Gara
- Development of machine learning models for predicting patient-perceived benefit following lumbar disc herniation or spinal stenosis surgery
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