ReviewGlobal spine journal2024
ChatGPT and its Role in the Decision-Making for the Diagnosis and Treatment of Lumbar Spinal Stenosis: A Comparative Analysis and Narrative Review.
Review in Global spine journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis 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
39 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The emergence of large language models as tools in literature reviews: a large language model-assisted systematic review.Journal of the American Medical Informatics Association : JAMIA · 2025Pooled it
- Large language models in the vertical integration of spine surgery workflow: a scoping review.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026Review
- A Cautious Integration With AI in the Clinic: A Standardized-Patient Pilot Study of ChatGPT's Reliability in Hamilton Depression Rating Scale Scoring.Alpha psychiatry · 2026Article
- Diagnostic Performance of Large Language Models for Orthopedic-Related Rare Diseases and Their Impact on Physicians' Diagnostic Accuracy: 2-Stage Comparative Evaluation Study Based on the Chinese Rare Disease Catalog.Journal of medical Internet research · 2026Article
- Large Language Model and Pediatric Neurosurgery - A Neurosurgeon's Perspective on the Artificial Nervous System.Journal of Korean Neurosurgical Society · 2026Article
- ChatGPT in Orthopedic Trauma: Consistency, Accuracy, and Agreement With Textbook and Expert Opinion.Cureus · 2026Article
- Use of Generative Artificial Intelligence in the Management of Low Back Pain: a Scoping Review.Journal of medical systems · 2026Article
- Benchmarking of large language models to determine candidacy for spine surgery and comparison with conventional machine learning.BMC musculoskeletal disorders · 2026Article
- Benchmarking agreement between large language models and published clinical trial conclusions across four artificial intelligence platforms.Scientific reports · 2026Article
- Attitudes toward large language model-based Artificial Intelligence systems as an information source for shared decision-making in radiation oncology.The oncologist · 2026Article
- Behavior recognition and assessment of spinal dysfunction based on an attention mechanism.Frontiers in medicine · 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
- Current trends and future prospects of language models and processing systems in spine surgery - a scoping review.Neurosurgical review · 2025Article
- Large Language Models in Spine Surgery: A Promising Technology.HSS journal : the musculoskeletal journal of Hospital for Special Surgery · 2025Review
- Assessing LLMs on IDSA Practice Guidelines for the Diagnosis and Treatment of Native Vertebral Osteomyelitis: A Comparison Study.Journal of clinical medicine · 2025Article
- Can generative artificial intelligence provide accurate medical advice?: a case of ChatGPT versus Congress of Neurological Surgeons management of acute cervical spine and spinal cord injuries clinical guidelines.Asian spine journal · 2025Article
- Assessing ChatGPT responses to patient questions on epidural steroid injections: A comparative study of general vs specific queries.Interventional pain medicine · 2025Article
- Automating Responses to Patient Portal Messages Using Generative AI.Applied clinical informatics · 2025Article
- A cross-sectional study on ChatGPT's alignment with clinical practice guidelines in musculoskeletal rehabilitation.BMC musculoskeletal disorders · 2025Observational
- Evaluation of GPT-4 concordance with north American spine society guidelines for lumbar fusion surgery.North American Spine Society journal · 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
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
STUDY
designComparative Analysis and Narrative Review.
objectiveTo assess and compare ChatGPT's responses to the clinical questions and recommendations proposed by The 2011 North American Spine Society (NASS) Clinical Guideline for the Diagnosis and Treatment of Degenerative Lumbar Spinal Stenosis (LSS). We explore the advantages and disadvantages of ChatGPT's responses through an updated literature review on spinal stenosis.
methodsWe prompted ChatGPT with questions from the NASS Evidence-based Clinical Guidelines for LSS and compared its generated responses with the recommendations provided by the guidelines. A review of the literature was performed via PubMed, OVID, and Cochrane on the diagnosis and treatment of lumbar spinal stenosis between January 2012 and April 2023.
results14 questions proposed by the NASS guidelines for LSS were uploaded into ChatGPT and directly compared to the responses offered by NASS. Three questions were on the definition and history of LSS, one on diagnostic tests, seven on non-surgical interventions and three on surgical interventions. The review process found 40 articles that were selected for inclusion that helped corroborate or contradict the responses that were generated by ChatGPT.
conclusionsChatGPT's responses were similar to findings in the current literature on LSS. These results demonstrate the potential for implementing ChatGPT into the spine surgeon's workplace as a means of supporting the decision-making process for LSS diagnosis and treatment. However, our narrative summary only provides a limited literature review and additional research is needed to standardize our findings as means of validating ChatGPT's use in the clinical space.
Indexed as
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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.