SynthesisFrontiers in surgery2025
Accuracy and reliability of radiological methods for assessing fusion rates in patients undergoing spinal arthrodesis and stabilization: a systematic review of the past 10 years.
Synthesis in Frontiers in surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Vitamin D Status and Supplementation in Lumbar Spinal Fusion: A Systematic Review and Meta-Analysis of Radiographic and Clinical Outcomes.Journal of musculoskeletal & neuronal interactions · 2026Pooled it
- Bone Fusion in the Cervical Spine: Where Are We Now?Bioengineering (Basel, Switzerland) · 2026Review
- Minimally invasive sacroiliac joint fusion evidence gaps with biomechanics, devices, and industry influence: A narrative review.Brain & spine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Reliable assessment of spinal fusion remains a significant challenge due to the absence of universally accepted radiological criteria. Despite the widespread use of spinal arthrodesis and stabilization, substantial variability persists in how fusion is defined, assessed, and reported across studies. This systematic review evaluates current radiological methods for assessing spinal fusion outcomes, focusing on their reliability, reproducibility, and clinical applicability, and identifies existing limitations to inform future research and practice. Methods: A systematic search was conducted in PubMed, Scopus, and Web of Science for studies published between 2014 and 2024. Following PRISMA guidelines, clinical studies reporting explicit radiological criteria for assessing spinal fusion at any vertebral level were included. Extracted data comprised study characteristics, imaging modalities, surgical techniques, fusion definitions, and use of validated scoring systems. Risk of bias was assessed using the ROBINS-I tool. Results: Of 2,965 articles screened, 557 met the inclusion criteria. Only 36.8% of studies used standardized scoring systems-primarily Bridwell, Brantigan-Steffee-Fraser (BSF), and Lenke classifications. In contrast, 61.2% relied on non-standardized or author-defined criteria, contributing to significant methodological heterogeneity. Computed tomography (CT), alone or combined with conventional radiography (CR), was the predominant imaging method (74.5%), while magnetic resonance imaging (MRI) was used in only 2.0% of studies. Over 200 distinct fusion criteria were identified, underscoring the lack of consensus. Conclusions: Significant heterogeneity persists in the radiological assessment of spinal fusion, largely due to inconsistent use and interpretation of fusion criteria, even among studies employing established scoring systems. This variability limits comparability across studies and underscores the need for consensus-based, validated guidelines. Future research should prioritize the development and standardization of objective radiological criteria to improve the reliability and clinical applicability of fusion assessment in spinal arthrodesis. Emerging technologies, such as Hounsfield unit-based CT metrics and AI-assisted imaging, appear promising for improving diagnostic accuracy. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD420251111767, PROSPERO CRD420251111767.
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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.