Evidence map›Paper›PMID 36738335›Full record

ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2023

A nomogram for predicting residual low back pain after percutaneous kyphoplasty in osteoporotic vertebral compression fractures.

Miaoman Lin, Xuemei Wen, Zongwei Huang, Wei Huang, Hao Zhang, Xingxing Huang, Cunheng Yang, Fuming Wang, Junxiao Gao, Meng Zhang and 1 more

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In one paragraph

Article in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 6 pooled it
7.9field-weighted citation impact, top 2% 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

20 citing papers in PubMed, 6 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Incidence and predictors of residual back pain after percutaneous vertebral augmentation in osteoporotic vertebral compression fracture: a systematic review and meta analysis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025
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  6. Incidence and prognostic factors of residual back pain in patients treated for osteoporotic vertebral compression fractures: a systematic review and meta-analysis.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 · 2024
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  11. Association between vertebral bone quality score and residual back pain following percutaneous vertebroplasty for osteoporotic vertebral compression fractures.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

11 authors at 4 institutions in 1 country.

Miaoman LinDepartment of Orthopaedics, Affiliated Zhongshan Hospital of Dalian University, No.6, Jiefang Street, Dalian, Liaoning Province, 116001, China.ORCID http://orcid.org/0000-0003-3046-6242
Xuemei WenXinhua Clinical College, Dalian University, Dalian, 116622, China.
Zongwei HuangGuangzhou University of Chinese Medicine, Guangzhou, 510006, China.
Wei HuangDepartment of Orthopaedics, Dongguan Tungwah Hospital, Dongguan, 523000, China.
Hao ZhangDepartment of Orthopaedics, Affiliated Zhongshan Hospital of Dalian University, No.6, Jiefang Street, Dalian, Liaoning Province, 116001, China.
Xingxing HuangDepartment of Orthopaedics, Affiliated Zhongshan Hospital of Dalian University, No.6, Jiefang Street, Dalian, Liaoning Province, 116001, China.
Cunheng YangDepartment of Orthopaedics, Affiliated Zhongshan Hospital of Dalian University, No.6, Jiefang Street, Dalian, Liaoning Province, 116001, China.
Fuming WangDepartment of Orthopaedics, Affiliated Zhongshan Hospital of Dalian University, No.6, Jiefang Street, Dalian, Liaoning Province, 116001, China.
Junxiao GaoDepartment of Orthopaedics, Affiliated Zhongshan Hospital of Dalian University, No.6, Jiefang Street, Dalian, Liaoning Province, 116001, China.
Meng ZhangDepartment of Orthopaedics, Affiliated Zhongshan Hospital of Dalian University, No.6, Jiefang Street, Dalian, Liaoning Province, 116001, China.
Xiaobing YuDepartment of Orthopaedics, Affiliated Zhongshan Hospital of Dalian University, No.6, Jiefang Street, Dalian, Liaoning Province, 116001, China. yuxiaobing1976@hotmail.com.ORCID http://orcid.org/0000-0003-3777-335X
Affiliated Zhongshan Hospital of Dalian University · CNGuangzhou University of Chinese Medicine · CNDalian University · CNXiamen University · CN

Funding

Dalian Science and Technology Innovation Fund 2021JJ13SN68
6 · The paper itself

Abstract

To establish a risk prediction model for residual low back pain after percutaneous kyphoplasty (PKP) for osteoporotic vertebral compression fractures. We used retrospective data for model construction and evaluated the model using internal validation and temporal external validation and finally concluded that the model had good predictive performance.

introductionThe cause of residual low back pain in patients with osteoporotic vertebral compression fractures (OVCFs) after PKP remains highly controversial, and our goal was to investigate the most likely cause and to develop a novel nomogram for the prediction of residual low back pain and to evaluate the predictive performance of the model.

methodsThe clinical data of 281 patients with OVCFs who underwent PKP at our hospital from July 2019 to July 2020 were reviewed. The optimal logistic regression model was determined by lasso regression for multivariate analysis, thus constructing a nomogram. Bootstrap was used to perfomance the internal validation; receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA) were used to assess the predictive performance and clinical utility of the model, respectively. Temporal external validation of the model was also performed using retrospective data from 126 patients who underwent PKP at our hospital from January 2021 to October 2021.

resultsLasso regression cross-validation showed that the variables with non-zero coefficients were the number of surgical vertebrae, preoperative bone mineral density (pre-BMD), smoking history, thoracolumbar fascia injury (TLFI), intraoperative facet joint injury (FJI), and postoperative incomplete cementing of the fracture line (ICFL). The above factors were included in the multivariate analysis and showed that the pre-BMD, smoking history, TLFI, FJI, and ICFL were independent risk factors for residual low back pain (P < 0.05). The ROC and calibration curve of the original model and temporal external validation indicated a good predictive power of the model. The DCA curve suggested that the model has good clinical practicability.

conclusionThe risk prediction model has good predictive performance and clinical practicability, which can provide a certain basis for clinical decision-making in patients with OVCFs.

Indexed as

Fractures, CompressionKyphoplastyLow Back PainOsteoporotic FracturesSpinal FracturesBone CementsHumansLumbar VertebraeNomogramsRetrospective StudiesTreatment OutcomeBone CementsNomogramOsteoporotic vertebral compression fracturesPercutaneous kyphoplastyPredictive modelResidual low back pain

Identifiers

PMID36738335
OpenAlexW4319216560

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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.