Evidence map›Paper›PMID 40259298›Full record

ArticleJournal of orthopaedic surgery and research2025

Modeling and construction of nomogram of cage subsidence after single-segment transforaminal lumbar interbody fusions.

Jinxiang Zhan, Qipeng Wei, Weijun Guo, Zihao Liu, Shiji Chen, Qingyan Huang, Dongling Cai

Abstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2025. 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. Answer to the letter to the editor of A. Abudayeh, et al. concerning "Lateral lumbar interbody fusion with lateral plating: techniques, feasibility and efficacy" by T. Siu, et al. (Eur Spine J [2025]; doi:10.1007/s00586-025-09411-w).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
    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

7 authors.

Jinxiang Zhan *Department of Orthopedics, Panyu Hospital of Chinese Medicine, No. 65, Qiaodong Road, Shiqiao Street, Panyu District, Guangzhou, Guangdong, 511400, China.
Qipeng Wei *Department of Orthopedics, Panyu Hospital of Chinese Medicine, No. 65, Qiaodong Road, Shiqiao Street, Panyu District, Guangzhou, Guangdong, 511400, China. qipeng_wei@126.com.
Weijun GuoDepartment of Orthopedics, Panyu Hospital of Chinese Medicine, No. 65, Qiaodong Road, Shiqiao Street, Panyu District, Guangzhou, Guangdong, 511400, China.
Zihao LiuGuangzhou University of Chinese Medicine, Guangzhou, Guangdong, 510006, China.
Shiji ChenGuangzhou University of Chinese Medicine, Guangzhou, Guangdong, 510006, China.
Qingyan HuangDepartment of Orthopedics, Panyu Hospital of Chinese Medicine, No. 65, Qiaodong Road, Shiqiao Street, Panyu District, Guangzhou, Guangdong, 511400, China.
Dongling CaiDepartment of Orthopedics, Panyu Hospital of Chinese Medicine, No. 65, Qiaodong Road, Shiqiao Street, Panyu District, Guangzhou, Guangdong, 511400, China. cdl_spine@126.com.

Funding

Guangzhou Traditional Chinese Medicine and Integrated Traditional Chinese and Western Medicine Science and Technology Project 20222A010078Key medical disciplines in Panyu District 2022-2024Panyu District Science and Technology Programme Major Healthcare Projects 2022-Z04-112
6 · The paper itself

Abstract

objectiveThe purpose of this study is to explore and analyze the risk factors for interbody cage subsidence in patients undergoing single-segment transforaminal lumbar interbody fusion (TLIF) and to construct and validate a visual nomogram risk prediction model.

methodsA retrospective analysis was conducted on the clinical data of 159 patients who underwent single-segment TLIF at the Spine Surgery Department of Panyu District Traditional Chinese Medicine Hospital from January 2021 to June 2023. Using the caret package in R, patients were randomly divided into a training set (n = 111) and a validation set (n = 48) in a 7:3 ratio. Multivariable logistic regression was employed for variable selection and the construction of the nomogram model. The predictive model's discrimination, calibration, and clinical utility were evaluated using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA).

resultsThere were no statistically significant differences in various indicators between the training set (n = 111) and the validation set (n = 48) (P > 0.05). Univariate analysis in the training set revealed that age, bone density, endplate morphology, anterior vertebral bone spurs, lumbar CT values, and VBQ were statistically significant. Multivariable logistic regression analysis indicated that bone density, anterior vertebral bone spurs, and lumbar CT values were independent predictors of interbody cage subsidence (P < 0.05), and a nomogram model was constructed based on these indicators. The area under the ROC curve (AUC) for the training set and validation set was 0.93 (95% CI 0.89-0.98) and 0.93 (95% CI 0.86-1.00), respectively. The calibration curves showed good fit (training set P = 0.616; validation set P = 0.904). DCA analysis demonstrated that the model has high clinical utility.

conclusionBone density, anterior vertebral bone spurs, and lumbar CT values are risk factors for interbody cage subsidence in patients after single-segment transforaminal lumbar interbody fusion. The constructed nomogram model exhibits good predictive value and clinical utility.

Indexed as

Lumbar VertebraeNomogramsPostoperative ComplicationsSpinal FusionAdultAgedFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsCage subsidenceNomogramPredictive modelingRisk factor analysisTransforaminal lumbar interbody fusion

Identifiers

PMID40259298
PMCPMC12013202

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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.