Evidence map›Paper›PMID 39165060›Full record

ArticleAsian spine journal2024

A novel technique for posterior lumbar interbody fusion to obtain a good local lordosis angle: anterior-release posterior lumbar interbody fusion.

Daisuke Inoue, Hiroaki Matsumori, Hideki Shigematsu, Yurito Ueda, Toshiya Morita, Sachiko Kawasaki, Masaki Ikejiri, Yasuhito Tanaka

Abstract read
In one paragraph

Article in Asian spine journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Daisuke InoueDepartment of Orthopaedic Surgery, Kashiba Asahigaoka Hospital, Kashiba, Japan.
Hiroaki MatsumoriDepartment of Orthopaedic Surgery, Kashiba Asahigaoka Hospital, Kashiba, Japan.
Hideki ShigematsuDepartment of Orthopaedic Surgery, Nara Medical University Hospital, Kashihara, Japan.
Yurito UedaDepartment of Orthopaedic Surgery, Kashiba Asahigaoka Hospital, Kashiba, Japan.
Toshiya MoritaDepartment of Orthopaedic Surgery, Ishinkai Yao General Hospital, Yao, Japan.
Sachiko KawasakiDepartment of Orthopaedic Surgery, Nara Medical University Hospital, Kashihara, Japan.
Masaki IkejiriDepartment of Orthopaedic Surgery, Nara Medical University Hospital, Kashihara, Japan.
Yasuhito TanakaDepartment of Orthopaedic Surgery, Nara Medical University Hospital, Kashihara, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Herein, we describe a novel posterior lumbar interbody fusion (PLIF) technique with annulus fibrosus (AF) release and the use of expandable cages (called "anterior-release PLIF" [ARPLIF]). In this technique, posterior column osteotomy (PCO) and AF release provide excellent intervertebral mobility. AF release involves circumferentially peeling off the AF above or below the endplate between the fixed vertebrae under radiographic guidance without cutting the AF and anterior longitudinal ligament. Subsequently, high-angle variable-angle expandable cages are used to simultaneously expand both sides before inserting the percutaneous pedicle screws and correcting to achieve good local lumbar lordosis. PCO and AF release achieve excellent intervertebral mobility. Intervertebral mobility and simultaneous expansion of both cages disperse the force on the endplates, reducing cage subsidence, and the high-angle cages facilitate high intervertebral angle creation. The novel ARPLIF intervertebral manipulation technique can promote good local lumbar lordosis formation.

Indexed as

Annulus fibrosus releaseExpandable cagePosterior column osteotomyPosterior lumbar interbody fusionSegmental lumbar lordosis

Identifiers

PMID39165060
PMCPMC11538811

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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.