ReviewJournal of clinical medicine2024
Challenges in Contemporary Spine Surgery: A Comprehensive Review of Surgical, Technological, and Patient-Specific Issues.
Review in Journal of clinical medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.
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
29 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Complications and their prevention in unilateral biportal endoscopy: a systematic review with narrative insights and practical management algorithms.Acta neurochirurgica · 2026Pooled it
- Artificial intelligence applications in surgical education and training: a systematic review.Frontiers in artificial intelligence · 2026Pooled it
- AI parameters for enhancing spine surgery outcomes: a narrative review.Journal of spine surgery (Hong Kong) · 2026Review
- Reimagining Spinal Surgery at the Nanoscale: Smart Implants, Targeted Therapies, and Translational Challenges.Biology · 2026Review
- Patient Experiences of Perioperative Care in Lumbar Spine Surgery: A Qualitative Study.Nursing open · 2026Article
- Material and Geometric Innovations in Lumbar and Cervical Interbody Devices: A Systematic Scoping Review.Annals of biomedical engineering · 2026Review
- Cadaver-based hands-on course in cervical spine surgery: a prospective evaluation of surgical confidence and self-perceived autonomy.Acta neurochirurgica · 2026Article
- Optimizing arthroplasty outcomes: the impact of artificial intelligence and robotic assistance.Annals of medicine and surgery (2012) · 2026Review
- Fellowship Training Trends Among Spine Neurosurgeons in Florida: A Cross-Sectional Analysis.Cureus · 2026Article
- Extended reality and emerging artificial intelligence in orthopedic surgical training: a scoping review of educational outcomes.Journal of robotic surgery · 2026Article
- Budget impact analysis of robot-assisted versus conventional spine surgery in Spain.Journal of robotic surgery · 2026Article
- Infrared thermography as adjunctive imaging in spine surgery: Evaluating thermal asymmetry for predicting symptomatic level and recovery.World journal of radiology · 2026Article
- Structural design and biomechanical analysis of anti- subsidence gradient porous artificial vertebrae combined with a topology framework.BMC musculoskeletal disorders · 2026Article
- Critical Assessment of Evidence Quality of Meta-Analyses Comparing Sacral 2 Alar-Iliac Fixation with Iliac Screws for Adult Spinal Deformity: An Umbrella Review with Emphasis on Methodological Limitations.Journal of clinical medicine · 2026Review
- Global research hotspots and emerging trends in orthopedic robotic surgery: a comprehensive bibliometric analysis.Journal of robotic surgery · 2026Review
- An innovative 2D optical navigation workflow for percutaneous pedicle screw fixation in thoracolumbar fractures: comparison with O-arm 3D navigation.Frontiers in surgery · 2026Article
- Spinal decompression and radionuclide therapy for an unresectable FGF23 transmitted tumor causing cervical myelopathy: a case report and literature review.Frontiers in oncology · 2026Article
- Shaping the modern spine surgeon: core competencies for a digital era.Journal of spine surgery (Hong Kong) · 2025Article
- Artificial Intelligence in Planning for Spine Surgery.Current reviews in musculoskeletal medicine · 2025Review
- Pain outcomes following long-segment thoracolumbar fusion: a three-year mixed-effects analysis.Neurosurgical review · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Spine surgery has significantly progressed due to innovations in surgical techniques, technology, and a deeper understanding of spinal pathology. However, numerous challenges persist, complicating successful outcomes. Anatomical intricacies at transitional junctions demand precise surgical expertise to avoid complications. Technical challenges, such as underestimation of the density of fixed vertebrae, individual vertebral characteristics, and the angle of pedicle inclination, pose additional risks during surgery. Patient anatomical variability and prior surgeries add layers of difficulty, often necessitating thorough pre- and intraoperative planning. Technological challenges involve the integration of artificial intelligence (AI) and advanced visualization systems. AI offers predictive capabilities but is limited by the need for large, high-quality datasets and the "black box" nature of machine learning models, which complicates clinical decision making. Visualization technologies like augmented reality and robotic surgery enhance precision but come with operational and cost-related hurdles. Patient-specific challenges include managing postoperative complications such as adjacent segment disease, hardware failure, and neurological deficits. Effective patient outcome measurement is critical, yet existing metrics often fail to capture the full scope of patient experiences. Proper patient selection for procedures is essential to minimize risks and improve outcomes, but criteria can be inconsistent and complex. There is the need for continued technological innovation, improved patient-specific outcome measures, and enhanced surgical education through simulation-based training. Integrating AI in preoperative planning and developing comprehensive databases for spinal pathologies can aid in creating more accurate, generalizable models. A holistic approach that combines technological advancements with personalized patient care and ongoing education is essential for addressing these challenges and improving spine surgery outcomes.
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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.