Evidence map›Paper›PMID 42453362›Full record

ArticleFrontiers in surgery2026

Robotic-assisted vs. fluoroscopy-assisted MIS-TLIF: improved screw accuracy and reduced early opioid use with comparable long-term outcomes.

Daniel W Griepp, Bryce Sarcar, Hepzibha Alexander, Rabia Ahmed, Andrew Beggs, Armando Bunjaj, Jeffrey P Turnbull, Joshua Caskey, Shivum Desai, Heather Heitkotter and 1 more

Abstract read
In one paragraph

Article in Frontiers in surgery, 2026. 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

11 authors.

Daniel W Griepp *Department of Neurosurgery, Henry Ford Health Providence Hospital, Michigan State University College of Human Medicine, Southfield, MI, United States.
Bryce Sarcar *Department of Neurosurgery, Henry Ford Health Providence Hospital, Michigan State University College of Human Medicine, Southfield, MI, United States.
Hepzibha AlexanderDepartment of Neurosurgery, Henry Ford Health Providence Hospital, Michigan State University College of Human Medicine, Southfield, MI, United States.
Rabia AhmedDepartment of Neurosurgery, Henry Ford Health Providence Hospital, Michigan State University College of Human Medicine, Southfield, MI, United States.
Andrew BeggsDepartment of Neurosurgery, Henry Ford Health Providence Hospital, Michigan State University College of Human Medicine, Southfield, MI, United States.
Armando BunjajDepartment of Neurosurgery, Henry Ford Health Providence Hospital, Michigan State University College of Human Medicine, Southfield, MI, United States.
Jeffrey P TurnbullDepartment of Neurosurgery, Henry Ford Health Providence Hospital, Michigan State University College of Human Medicine, Southfield, MI, United States.
Joshua CaskeyDepartment of Neurosurgery, Henry Ford Health Providence Hospital, Michigan State University College of Human Medicine, Southfield, MI, United States.
Shivum DesaiDepartment of Neurosurgery, Henry Ford Health Providence Hospital, Michigan State University College of Human Medicine, Southfield, MI, United States.
Heather HeitkotterDepartment of Neurosurgery, Henry Ford Health Providence Hospital, Michigan State University College of Human Medicine, Southfield, MI, United States.
Daniel A CarrDepartment of Neurosurgery, Henry Ford Health Providence Hospital, Michigan State University College of Human Medicine, Southfield, MI, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Robotic-assisted (RA) techniques are increasingly used in minimally invasive transforaminal lumbar interbody fusion (MIS-TLIF). While technical advantages of RA have been demonstrated, it remains unclear whether they translate into improved patient-reported outcomes (PROs) or reduced opioid utilization compared to conventional fluoroscopy-assisted (FA) techniques. Given the growing emphasis on opioid stewardship in spine surgery, understanding differences in perioperative and long-term opioid use is critical. Methods: A retrospective cohort study was conducted using a database of patients who underwent single-level MIS-TLIF for degenerative lumbar pathology by a single surgeon between 2019 and 2024. Patients were grouped based on pedicle screw placement technique (RA vs. FA). Primary outcomes included inpatient opioid consumption measured in morphine milligram equivalents (MME), long-term opioid use at 3, 6, and 12 months, and PROs including Oswestry Disability Index (ODI) and Visual Analog Scale (VAS) scores. Secondary outcomes included operative time, length of stay (LOS), complications, and pedicle screw accuracy assessed by the Gertzbein and Robbins classification. Results: A total of 87 patients met the inclusion criteria (FA: Conclusion: RA MIS-TLIF had improved pedicle screw accuracy and reduced early postoperative opioid consumption compared to FA techniques; however, these advantages did not translate into reduced long-term opioid use or improved patient-reported outcomes.

Indexed as

inpatient opioid consumptionminimally invasive surgerymorphine milligram equivalentspatient reported outcomes (PROs)pedicle screw accuracyrobotic assisted surgeryspine surgerytransforaminal lumbar interbody fusion (TLIF)

Identifiers

PMID42453362
PMCPMC13364966

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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.