Evidence map›Paper›PMID 42613720›Full record

ArticleGlobal spine journal2026

Trends in Robot-Assisted Spinal Fusion Surgeries: An Analysis by Age Group, Race, ZIP Code Income Quartile, and Urban-Rural Classification.

Connor Burke, Andrew Brumett, Matthew Blackwell, Arshjeet Singh, Anoop S Chinthala, Raj Swaroop Lavadi, Gordon Mao

Abstract read
In one paragraph

Article in Global spine journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Connor BurkeShanghai Medical College, Fudan University, Shanghai, China.ORCID 0009-0004-7930-6199
Andrew BrumettIndiana University School of Medicine, Indianapolis, IN, United States.
Matthew BlackwellIndiana University School of Medicine, Indianapolis, IN, United States.
Arshjeet SinghIndiana University School of Medicine, Indianapolis, IN, United States.
Anoop S ChinthalaIndiana University School of Medicine, Indianapolis, IN, United States.ORCID 0000-0002-6065-1177
Raj Swaroop LavadiDepartment of Neurological Surgery, Indiana University School of Medicine, Indianapolis, IN, United States.
Gordon MaoDepartment of Neurological Surgery, Indiana University School of Medicine, Indianapolis, IN, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Study DesignRetrospective Serial Cross-Sectional Study.ObjectivesRobotic assistance in spinal fusion surgery has been associated with improved perioperative outcomes. Given the potential benefits and resource requirements of robotic platforms, it is important to identify adoption trends to inform efforts in surgical resource allocation. This study analyzes trends by age group, race, urban-rural location, primary payer, and ZIP-code income quartile among patients undergoing robot-assisted spinal fusion relative to concurrent trends in free-hand fusion.MethodsA retrospective serial cross-sectional analysis was performed using the 2010-2021 National Inpatient Sample (NIS). This study analyzed 34,911 robot-assisted and 5.19 million free-hand spinal fusion cases. Survey-weighted Poisson regression estimated subgroup-specific prevalence ratios across sequential three-year eras, and difference-in-differences rate ratios compared changes in the robotic cohort with concurrent changes in the free-hand cohort. An ICD-10-era sensitivity analysis was performed.ResultsCompared with free-hand, robotic representation declined in central-metropolitan counties (DiD RR 0.55, 95% CI 0.46-0.66, p<0.0001) and increased in small-metropolitan counties (RR 2.81, 1.06-7.43, p=0.037) and among Medicaid-insured patients (RR 6.49, 1.02-41.50, p=0.048). Pediatric representation declined (RR 0.23, 0.13-0.42, p<0.0001). In ICD-10-era sensitivity analyses, the central-metropolitan decline and Medicaid finding persisted, whereas the small-metropolitan and pediatric findings were not reproduced.ConclusionsRobot-assisted spinal fusion demonstrated geographic and payer-related shifts relative to free-hand fusion. Decreased representation in central-metropolitan counties was the most consistent finding. Medicaid representation increased among robotic cases relative to free-hand fusion, but this finding should be interpreted cautiously because the baseline Medicaid count in the robotic cohort was small.

Indexed as

ageincomemedicaidpayerracerobotic surgeryspinal fusionurban

Identifiers

PMID42613720
PMCPMC13486388

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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.