Evidence map›Paper›PMID 41000492›Full record

ArticleJournal of craniovertebral junction & spine

Results of surgical treatment for grade IV-V spondylolisthesis using

Akobir Ibragimov, Abdurakhmon Norov, Ravshan Yuldashev, Mukhammadjon Norov, Abdurashid Nigmatjonov, Bipin Chaurasia

Abstract read
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Article in Journal of craniovertebral junction & spine. 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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0citing papers 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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3 · Its place in the literature

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0 citing papers in PubMed.

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

6 authors.

Akobir IbragimovDepartment of Neurosurgery, Center for the Development of Professional Qualification of Medical Workers, Tashkent, Uzbekistan.
Abdurakhmon NorovRepublican Specialized Scientific and Practical Medical Center of Neurosurgery, Tashkent, Uzbekistan.
Ravshan YuldashevRepublican Specialized Scientific and Practical Medical Center of Neurosurgery, Tashkent, Uzbekistan.
Mukhammadjon NorovRepublican Specialized Scientific and Practical Medical Center of Neurosurgery, Tashkent, Uzbekistan.
Abdurashid NigmatjonovDepartment of Medical Radiology, Tashkent Medical Academy, Tashkent, Uzbekistan.
Bipin ChaurasiaDepartment of Neurosurgery, College of Medical Sciences, Bharatpur, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The surgical treatment of high-grade spondylolisthesis remains a complex and multifaceted task requiring an individual approach in each case. The diverse treatment modalities and conflicting techniques used in this treatment indicate a limited understanding of this condition in modern medicine. In this study, we report our results on implementing a modified in situ technique for the surgical treatment of high-grade spondylolisthesis. Hypothesis: In high-grade lumbar spondylosis, especially grades IV and V, posterior fixation using a specially designed transpedicular screw is effective in terms of adequate decompression and reliable stabilization leading to intervertebral fusion. Methods: This study is a prospective review of 24 consecutive patients with grades IV and V lumbar spine malalignment who underwent surgery between 2019 and 2022. The surgical technique was unique in that it allowed the surgeon to perform extensive spinal canal decompression, deformity reduction, and fixation with custom-designed pedicle screws in a single stage. Patients were followed at 3, 6, and 12 months and then annually. Clinical, radiological, visual analogue scale (VAS), and Oswestry disability index (ODI) data were collected. Results: Among 24 patients with high-grade spondylolisthesis at the L5-S1 level, good results were achieved in 62.5% of patients. The median follow-up period was 16 months (12; 24 months). All patients, except one case, had bone fusion at the level of vertebral fixation within 6 months. The radiographic parameters after surgery showed statistically significant differences. No deep infections were recorded. The mean VAS and ODI scores demonstrated improvement in pain and disability. Conclusions: This procedure allows for adequate reduction of severe spondylolisthesis with favorable clinical and radiological results. Despite the need for surgical intervention, the procedure was safe and reproducible.

Indexed as

Decompressionhigh-grade spondylolisthesismodified transpedicular screwstabilizationsurgical treatment

Identifiers

PMID41000492
PMCPMC12459947

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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.