Evidence map›Paper›PMID 35795967›Full record

ArticleOrthopaedic surgery2022

Factors Related to Preoperative Coronal Malalignment in Degenerative Lumbar Scoliosis: An Analysis on Coronal Parameters.

Zifang Zhang, Tao Liu, Yan Wang, Zheng Wang, Guoquan Zheng

Open access · goldAbstract 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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  3. Radiographic parameter differences in degenerative scoliosis with/without degenerative lumbar spondylolisthesis.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025
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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

5 authors at 2 institutions in 2 countries.

Zifang Zhang *The Spinal Surgery Department of the Affiliated Hospital of Jining Medical University, Jining, China.ORCID https://orcid.org/0000-0002-6656-6782
Tao Liu *The Department of Orthopaedics, Yanzhou Branch of Affiliated Hospital of Jining Medial University, Jining, China.
Yan WangThe Department of Orthopaedics, The First Medical Center of the Chinese PLA General Hospital, Beijing, China.
Zheng WangThe Department of Orthopaedics, The First Medical Center of the Chinese PLA General Hospital, Beijing, China.
Guoquan ZhengThe Department of Orthopaedics, The First Medical Center of the Chinese PLA General Hospital, Beijing, China.
Chinese PLA General Hospital · CNZero to Three · US

Funding

National Key Research and Development Program Fund of China 2018YFB1307002National Key Research and Development Program Fund of China 2020YFC1107404
6 · The paper itself

Abstract

objectivesRecently the effects of coronal malalignment (CM) in degenerative lumbar scoliosis (DLS) have been reported, however, there was few studies on the correlated parameters of coronal alignments at pre-operation. The aims of this current study were to investigate the associations of coronal parameters with scoliosis and coronal alignment, and to explore the relationships between the coronal pelvic tilt and coronal alignment in DLS.

methodsOne hundred and sixty-one DLS patients in our hospital from May 2016 to December 2020 were reviewed and documented. The coronal balance distance (CBD, the offset between the center of C7 and the plumb line drawn from the center of S1), major Cobb (MC), fractional Cobb (FC), L4 coronal tilt, L5 coronal tilt, coronal pelvic tilt, apical rotation, and the vertebras in major curve were measured and documented. CM was considered if the CBD ≥ 30mm. All of those participants were assigned into group A (CBD ≥ 30 mm) and group B (CBD < 30 mm). Comparisons of demographic and radiographic data were performed between groups A and B. Pearson correlation and further multiple regression with stepwise method analysis were used to investigate those coronal parameters correlated to MC and CBD, respectively.

resultsThirty-one patients suffering from CM were assigned into group A, and the rest of 130 patients were assigned to group B accordingly. Then the incidence of CM was about 19.3% (31/161). Patients in group A had less vertebras in the main curve (P = 0.009), however, the apical rotation (P < 0.001) and the L4 coronal tilt (P = 0.007) were much larger. Although the MC (P = 0.426) and FC (P = 0.06) had no difference between the two groups, the match between MC and FC was much smaller (p = 0.021) in group A. The coronal pelvic tilt correlated significantly with FC (r = 0.552, p < 0.001), but mildly with MC (r = -0.366, p < 0.001), L4 coronal tilt (r = 0.348, p < 0.001), and L5 coronal tilt (r = 0.351, p < 0.001), respectively. The CBD correlated strongly with L4 coronal tilt (r = -0.471, p < 0.001) and L5 coronal tilt (r = -0.468, p < 0.001), respectively, but mildly with FC (r = -0.255, p = 0.016). Further multiple regression analysis revealed that only L4 coronal tilt was the independent factor for MC (r

conclusionsThe prevalence of CM in DLS patients is about 19% at pre-operation. With similar major Cobb, the less the vertebras in the major curve, the larger the CBD. L4 coronal tilt may correlate significantly to scoliosis and CBD. Coronal pelvic tilt may be just one of the compensations for the scoliosis deformity but effects CBD directly.

Indexed as

ScoliosisHumansLumbar VertebraeLumbosacral RegionPostureRetrospective StudiesSpineCoronal balance distanceCoronal malalignmentCoronal pelvic tiltDegenerative lumbar scoliosis

Identifiers

PMID35795967
PMCPMC9363746
OpenAlexW4284887224

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.