ArticleInternational journal of spine surgery2025
Nuances of the Minimally Invasive Transforaminal Lumbar Interbody Fusion: A Technical Review.
Article in International journal of spine surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Robot-Assisted vs Fluoroscopy-Guided Minimally Invasive Transforaminal Lumbar Interbody Fusion for Lumbar Degenerative Diseases: A Comparative Study.Medical science monitor : international medical journal of experimental and clinical research · 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTransforaminal lumbar interbody fusion (TLIF) achieves anterior and posterior spinal arthrodesis through a single approach. Minimally invasive surgery (MIS) methods reduce surgical morbidity while achieving positive outcomes.
methodsThe major MIS-TLIF techniques, from tubular to endoscopic approaches, are reviewed with a discussion on the incorporation of new technologies and a comparative review of their outcomes.
resultsMIS-TLIF approaches span a spectrum of visualization methods, with technical nuances related to patient and surgeon-specific factors determining optimal fit. To date, the superiority of 1 technique has yet to be definitively determined. Existing techniques may be integrated in a personalized manner to optimize surgical utility.
conclusionsSelection of an MIS-TLIF modality relies on a calculus between patient characteristics and surgeon faculty; proper selection can offer significant benefits to patients with spine disease. CLINICAL RELEVANCE: Emerging technologies for MIS-TLIF comprise a major source of development and clinical translation, while the safe and effective use of these techniques promises greater patient benefit in the right populations.
Indexed as
Identifiers
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.