Evidence map›Paper›PMID 35929663›Full record

ArticleOrthopaedic surgery2022

Applications of the Crenel Lateral Interbody Fusion Procedure in Treatment for Adjacent Segments Degeneration of the Lumbar Spine.

Di Zhang, Tong Zeng, Keng Chen, Song Jin

Abstract read
In one paragraph

Article in Orthopaedic surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

4 authors.

Di ZhangDepartment of Spine Surgery, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.ORCID https://orcid.org/0000-0002-1175-7397
Tong ZengDepartment of Spine Surgery, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.
Keng ChenDepartment of Spine Surgery, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.
Song JinDepartment of Spine Surgery, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.

Funding

Shenzhen Key Medical Discipline Construction Fund SZXK086
6 · The paper itself

Abstract

objectiveTo observe the clinical and radiological effect of crenel lateral interbody fusion (CLIF) procedure in the management of lumbar spine adjacent segment degenerative (ASD).

methodsThirty-seven patients with lumbar spine ASD who underwent the CLIF procedure between June 2018 and December 2019 were included in the study. There were 13 males and 24 females, with a mean age of 64.30 ± 5.92 years. The VAS score of the back (VAS_Back) and legs (VAS_Leg), Oswestry Disability Index (ODI) score, the height of the intervertebral space (HIS), the height of the intervertebral foramen (HIF), the cross-sectional area (CSA) of the vertebral canal, segmental lordosis (SL), and lumbar lordosis (LL) were recorded before the operation, 2 weeks after the operation, 3 months after the operation, and at the last follow-up respectively. Clinical and radiological outcomes before and after the surgery were compared, and correlation and regression analyses were performed.

resultsThere were no vascular and nerve-related complications during the operation. The average follow-up time was 16.63 ± 4.24 months. The median of both VAS_Back and VAS_Leg was 7 before surgery and 1 at the last follow-up. Meanwhile, the average preoperative ODI score, HIS, HIF, CSA of the vertebral canal, LL, and SL was (67.48 ± 7.17) %, (4.80 ± 0.73) mm, (12.95 ± 2.07) mm, (59.52 ± 9.22) mm

conclusionCrenel lateral interbody fusion is an effective procedure in the management of lumbar ASD. Not only was the postoperative swift recovery due to minimal invasion, but also adequate LL and SL were achievable.

Indexed as

LordosisSpinal FusionAgedFemaleHumansLumbar VertebraeMaleMiddle AgedRetrospective StudiesTreatment OutcomeAdjacent segment degenerative (ASD)Crenel lateral interbody fusion (CLIF)Lumbar lordosis (LL)Modified lateral lumbar interbody fusionSegmental lordosis (SL)

Identifiers

PMID35929663
PMCPMC9483051

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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.