Evidence map›Paper›PMID 34610692›Full record

ArticleNeurospine2021

Clinical, Radiographic, and Genetic Analyses in a Population-Based Cohort of Adult Spinal Deformity in the Older Population.

Jun Jae Shin, Byeongwoo Kim, Juwon Kang, Junjeong Choi, Bong Ju Moon, Dal Sung Ryu, Seung Hwan Yoon, Dong Kyu Chin, Jung-Kil Lee, Keung Nyun Kim and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Neurospine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
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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 at 4 institutions in 1 country.

Jun Jae ShinDepartment of Neurosurgery, Yongin Severance Hospital, Yonsei University School of Medicine, Yongin, Korea.
Byeongwoo KimDepartment of Neurosurgery, Champodonamu Hospital, Seoul, Korea.
Juwon KangCollege of Pharmacy, Yonsei Institute of Pharmaceutical Sciences, Yonsei University, Incheon, Korea.
Junjeong ChoiCollege of Pharmacy, Yonsei Institute of Pharmaceutical Sciences, Yonsei University, Incheon, Korea.
Bong Ju MoonDepartment of Neurosurgery, Chonnam National University Medical School & Research Institute of Medical Sciences, Gwangju, Korea.
Dal Sung RyuDepartment of Neurosurgery, Inha University Hospital, Inha University School of Medicine, Incheon, Korea.
Seung Hwan YoonDepartment of Neurosurgery, Inha University Hospital, Inha University School of Medicine, Incheon, Korea.
Dong Kyu ChinDepartment of Neurosurgery, Spine and Spinal Cord Institute, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Jung-Kil LeeDepartment of Neurosurgery, Chonnam National University Medical School & Research Institute of Medical Sciences, Gwangju, Korea.
Keung Nyun KimDepartment of Neurosurgery, Spine and Spinal Cord Institute, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Yoon HaDepartment of Neurosurgery, Spine and Spinal Cord Institute, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Yonsei University · KRChonnam National University · KRInha University Hospital · KRPohang University of Science and Technology · KR

Funding

Korea Health Industry Development InstituteMinistry of Education, Science and TechnologyMinistry of Health and Welfare HC15C1288National Research Foundation of Korea 2018R1A6A1A03023718
6 · The paper itself

Abstract

objectiveThis study aimed to identify the sagittal parameters associated with health-related quality of life and genetic variations that increase the risk of adult spinal deformity (ASD) onset in the older population.

methodsWe recruited 120 participants who had a sagittal vertical axis > 50 mm in a sagittal imbalance study. Sagittal radiographic parameters, cross-sectional area, and intramuscular fatty infiltration using the Goutallier classification in the paraspinal lumbar muscles were evaluated. Functional scales included the self-reported Oswestry Disability Index (ODI), 36-item Short Form Health Survey (SF-36), and visual analogue scales (VAS) for back and leg pain. We performed whole-exome sequencing and an exome-wide association study using the 100 control subjects and 63 individuals with severe phenotypes of sagittal imbalance.

resultsPelvic incidence minus lumbar lordosis (PI-LL) mismatch was negatively associated with the SF-36 and positively correlated with ODI and VAS for back and leg pain. PI-LL was related to the quality and size of the paraspinal muscles, especially the multifidus muscle. We identified common individual variants that reached exome-wide significance using single-variant analysis. The most significant single-nucleotide polymorphism was rs78773460, situated in an exon of the SVIL gene (odds ratio, 9.61; p = 1.15 × 10-9).

conclusionOlder age, higher body mass index, and a more significant PI-LL mismatch were associated with unfavorable results on functional scales. We found a genetic variation in the SVIL gene, which has been associated with the integrity of the cytoskeleton and the development of skeletal muscles, in severe ASD phenotypes. Our results help to elucidate the pathogenesis of ASD.

Indexed as

Adult spinal deformityGenome-wide association studyHealth-related quality of lifeSagittal imbalancesupervillinSVIL

Identifiers

PMID34610692
PMCPMC8497247
OpenAlexW3203828514

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.