Evidence map›Paper›PMID 30030586›Full record

ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2018

A modification and validation of quantitative morphometry classification system for osteoporotic vertebral compressive fractures in mainland Chinese.

L-J Song, L-L Wang, L Ning, S-W Fan, X Zhao, Y-L Chen, Z-Z Li, Z-A Hu

Abstract readValidation Study
PubMed Publisher
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, 2018. 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
0.7field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Observational
  2. Article
  3. Prediction of lumbar vertebral strength of elderly men based on quantitative computed tomography images using machine learning.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2019
    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

8 authors at 3 institutions in 1 country.

L-J Song *Department of Orthopaedic Surgery, Sir Run Run Shaw Hospital, Medical College, Zhejiang University, 3 East Qingchun Road, Hangzhou, 310016, China.
L-L Wang *School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, China.
L Ning *Department of Orthopaedic Surgery, Sir Run Run Shaw Hospital, Medical College, Zhejiang University, 3 East Qingchun Road, Hangzhou, 310016, China.
S-W FanDepartment of Orthopaedic Surgery, Sir Run Run Shaw Hospital, Medical College, Zhejiang University, 3 East Qingchun Road, Hangzhou, 310016, China.
X ZhaoDepartment of Orthopaedic Surgery, Sir Run Run Shaw Hospital, Medical College, Zhejiang University, 3 East Qingchun Road, Hangzhou, 310016, China.
Y-L ChenDepartment of Orthopaedic Surgery, Sir Run Run Shaw Hospital, Medical College, Zhejiang University, 3 East Qingchun Road, Hangzhou, 310016, China.
Z-Z LiDepartment of Orthopaedic Surgery, Sir Run Run Shaw Hospital, Medical College, Zhejiang University, 3 East Qingchun Road, Hangzhou, 310016, China.
Z-A HuDepartment of Orthopaedic Surgery, Sir Run Run Shaw Hospital, Medical College, Zhejiang University, 3 East Qingchun Road, Hangzhou, 310016, China. 3314014@zju.edu.cn.
Zhejiang University · CNSir Run Run Shaw Hospital · CNZhejiang Gongshang University · CN

Funding

China Postdoctoral Science Foundation 2017M612021National Natural Science Fund of China 11701509National Natural Science Fund of China 81501912Zhejiang Provincial Natural Science Foundation of China LQ15H060001
6 · The paper itself

Abstract

This study described a modified quantitative morphometry (mQM) system adapted to specific reference values for Mainland Chinese population. The mQM system is validated using the Genant Semiquantative system and is sensitive for detecting vertebral height changes and predicting cement leakage after percutaneous kyphoplasty (PKP) in patients with osteoporotic vertebral compressive fracture (OVCF).

introductionOVCF is a manifestation of osteoporosis. To improve clinical management of osteoporosis, the quantitative morphometry (QM) system has been widely used for the early diagnosis and precise classification of OVCF in developed countries. Here, we present an mQM system and validated its use in detecting OVCF in Mainland Chinese.

methodsUsing our mQM system, the pre- and post-operative values of vertebral heights were measured and evaluated in 309 Mainland Chinese who received percutaneous kyphoplasty (PKP) as OVCF treatment. Measurements and classification of fractures from the mQM system were validated by comparing to values obtained by the Genant semiquantative (SQ) method. Moreover, we evaluated the sensitivity of the mQM system by its ability to detect restoration of vertebral heights and predict cement leakage after PKP.

resultsThe five classification of fractures, No deformity (ND), anterior wedge (AW), posterior wedge (PW), biconcavity (BC), and compression (CP), evaluated by the mQM method shared similar distribution characteristics compared to those obtained by the SQ method. In addition, mQM evaluation showed that the vertebra height of all fracture types showed significant restoration after PKP. The incidence of cement leakage was most common in CP (37.5%), followed by AW (31.6%), BC (26.5%), ND (23.7%), and PW (0.0%).

conclusionsOur mQM system is suitable for classification of fractures, detection of vertebral height restoration, and correlation of cement leakage after PKP in Mainland Chinese population.

Indexed as

AgedAged, 80 and overBone CementsExtravasation of Diagnostic and Therapeutic MaterialsFemaleFractures, CompressionHumansKyphoplastyMaleMiddle AgedOsteoporotic FracturesPostoperative ComplicationsPostoperative PeriodRadiographic Image Interpretation, Computer-AssistedRadiographyReproducibility of ResultsBone CementsCement leakageModified quantitative morphometry systemOsteoporotic vertebral compression fractureVertebral height ratio restoration

Identifiers

PMID30030586
OpenAlexW2884024727

What OpenQuestion holds

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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.