Evidence map›Paper›PMID 40694162›Full record

ArticleNeurosurgical review2025

Experience Matters: An Application of the Operative Value Index for Lumbar Fusions.

Danyal Quraishi, Advith Sarikonda, D Mitchell Self, Steven Glener, Arbaz Momin, Emily L Isch, Ashmal Sami Kabani, Matthews Lan, Nicholas Clark, Ashwini Sharan and 6 more

Abstract read
In one paragraph

Article in Neurosurgical review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

16 authors.

Danyal QuraishiDepartment of Surgery, Drexel University College of Medicine, Philadelphia, PA, USA. danyalquraishi@gmail.com.
Advith SarikondaDepartment of Neurosurgery, Thomas Jefferson University and Jefferson Hospital for Neuroscience, Philadelphia, PA, USA.
D Mitchell SelfDepartment of Neurosurgery, Thomas Jefferson University and Jefferson Hospital for Neuroscience, Philadelphia, PA, USA.
Steven GlenerDepartment of Neurosurgery, Thomas Jefferson University and Jefferson Hospital for Neuroscience, Philadelphia, PA, USA.
Arbaz MominDepartment of Neurosurgery, Thomas Jefferson University and Jefferson Hospital for Neuroscience, Philadelphia, PA, USA.
Emily L IschDepartment of General Surgery, Thomas Jefferson University Hospital, Philadelphia, PA, USA.
Ashmal Sami KabaniDepartment of Neurosurgery, Thomas Jefferson University and Jefferson Hospital for Neuroscience, Philadelphia, PA, USA.
Matthews LanDepartment of Neurosurgery, Thomas Jefferson University and Jefferson Hospital for Neuroscience, Philadelphia, PA, USA.
Nicholas ClarkDepartment of Spine Surgery, Hospital for Special Surgery at Naples Comprehensive Health, Naples, FL, USA.
Ashwini SharanDepartment of Neurosurgery, Thomas Jefferson University and Jefferson Hospital for Neuroscience, Philadelphia, PA, USA.
Srinivas PrasadDepartment of Neurosurgery, Thomas Jefferson University and Jefferson Hospital for Neuroscience, Philadelphia, PA, USA.
Jack JalloDepartment of Neurosurgery, Thomas Jefferson University and Jefferson Hospital for Neuroscience, Philadelphia, PA, USA.
Joshua HellerDepartment of Neurosurgery, Thomas Jefferson University and Jefferson Hospital for Neuroscience, Philadelphia, PA, USA.
Alexander R VaccaroRothman Orthopedic Institute, Philadelphia, PA, USA.
James HarropDepartment of Neurosurgery, Thomas Jefferson University and Jefferson Hospital for Neuroscience, Philadelphia, PA, USA.
Ahilan SivaganesanDepartment of Spine Surgery, Hospital for Special Surgery at Naples Comprehensive Health, Naples, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAs healthcare systems transition to value-based care models, it is critical to understand factors influencing costs and outcomes in neurosurgery. This study utilizes Time-Driven Activity-Based Costing (TDABC) to assess the impact of surgeon experience and case volume on costs, clinical outcomes, and operative value in lumbar fusions. While TDABC has been applied in various surgical specialties, its use in neurosurgery, particularly in analyzing surgeon-specific factors, remains limited.

methodsA retrospective cohort study was conducted at a single center, analyzing lumbar instrumented arthrodesis procedures from 2017 to 2019. Primary variables included surgeon experience (years) and case volume (annual procedures). Confounding variables such as patient demographics, comorbidities, surgery type, and levels fused were considered. Intraoperative cost data were sourced from electronic medical records and departmental sources. Clinical outcomes were measured using the Oswestry Disability Index (ODI), and operative value was defined by the Operative Value Index (OVI), defined as the percent improvement in ODI per $1000 spent intraoperatively. Analysis of covariance (ANCOVA) examined the relationships between surgical costs, surgeon experience, case volume, and clinical outcomes.

resultsAmong 291 surgeries, surgeons with ≥ 15 years of experience had lower mean surgery costs ($16,071.78 vs. $22,259.71, p < 0.001) and higher OVI scores (1.81 vs. 1.2, p = 0.033) compared to less experienced surgeons. High-volume surgeons (≥ 100 annual cases) showed greater ODI improvements (34.90 vs. 22.07, p = 0.022) and higher OVI scores (2.22 vs. 1.01, p = 0.016) compared to lower-volume surgeons. Procedure type and levels fused significantly influenced surgery costs (p < 0.001) and OVI (p < 0.001).

conclusionsThis study is among the first to apply TDABC in evaluating the impact of surgeon experience and case volume on costs and outcomes in lumbar fusion procedures. Findings suggest that surgeons with ≥ 15 years of experience and high case volumes (≥ 100 annual cases) enhance operative value by reducing costs and improving ODI, respectively. Encouraging specialization and maintaining high case volumes may enhance cost-effectiveness and patient outcomes in healthcare systems.

Indexed as

Clinical CompetenceLumbar VertebraeSpinal FusionAdultAgedCohort StudiesFemaleHumansMaleMiddle AgedRetrospective StudiesSurgeonsTreatment OutcomeBundled paymentsCase volumeHealthcare costsHealth economicsIntraoperative costsOperating room efficiencyOperative timesSpinal fusion surgerySurgeon experienceTime-Driven Activity-Based costing (TDABC)Transforaminal lumbar interbody fusion (TLIF)

Identifiers

PMID40694162
PMCPMC12283911

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.