ReviewCureus2023
Pain Management Interventions in Lumbar Spinal Stenosis: A Literature Review.
Review in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 13 citations in OpenAlex.
- Clinical Characteristics and a New Classification System of Mono-Segmental Thoracic and Lumbar Nonfusion in Patients With Ankylosing Spondylitis.Orthopaedic surgery · 2026Article
- Outcomes and safety of unilateral biportal endoscopy for lumbar spinal stenosis.American journal of translational research · 2026Article
- Influence of decompression by laminotomy and percutaneous tansforaminal endoscopic surgery on postoperative wound healing, pain intensity, and lumbar function in elderly patients with lumbar spinal stenosis.Annals of medicine · 2025Article
- Endoscopic Foraminotomy for the Treatment of Lumbar Neuro-Foramen Stenosis: Role of CT in Treatment Planning and Post-Operative Assessment.Life (Basel, Switzerland) · 2025Article
- Article
- Lumbar fusion efficacy with local bone grafting and platelet-rich plasma: a clinical investigation in treating degenerative lumbar spinal stenosis in the elderly.International orthopaedics · 2024Article
- Article
- Convolutional neural network algorithm trained on lumbar spine radiographs to predict outcomes of transforaminal epidural steroid injection for lumbosacral radicular pain from spinal stenosis.Scientific reports · 2024Article
- RMRP accelerates ligamentum flavum hypertrophy by regulating GSDMD-mediated pyroptosis through Gli1 SUMOylation.Frontiers in immunology · 2024Article
- Review
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lumbar spinal stenosis (LSS) occurs due to the narrowing of the space within the vertebral canal and or intervertebral foramina. This results in the compression of the spinal cord and possibly the roots of the spinal nerves. Lower back pain and neurogenic claudication (NC) are major symptoms of spinal stenosis. This is a literature review that summarizes the important findings pertaining to pain management of spinal stenosis. Twenty-four original articles were assessed. Pain can be treated through non-invasive or surgical methods. Conservative techniques include physical exercises, epidural corticosteroid injection, local anesthetic injection therapy, and oral analgesics. Surgical intervention deals with the decompression of the affected spinal region, with or without vertebral fusion surgery. Other novel surgical techniques include implantation of specific equipment, known as interspinous spacer devices and minimally invasive lumbar decompression (MILD). Most studies offering a comparative analysis have demonstrated that surgical intervention is more efficacious than non-surgical interventions to manage pain associated with spinal stenosis.
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.