Evidence map›Paper›PMID 34120598›Full record

ArticleBMC geriatrics2021

High prevalence of osteoporosis in patients undergoing spine surgery in China.

Xiaoyi Mo, Shengli Zhao, Zhenxing Wen, Wei Lin, Zhipeng Chen, Zhiyun Wang, Chen Huang, Jie Qin, Jie Hao, Bailing Chen

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

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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

10 authors at 6 institutions in 1 country.

Xiaoyi Mo *Department of Spine Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Shengli Zhao *Department of Spine Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Zhenxing WenDepartment of Spine Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Wei LinDepartment of Spine Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Zhipeng ChenDepartment of Spine Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Zhiyun WangDepartment of Spine Surgery, Shunde Hospital of Southern Medical University, Foshan, China.
Chen HuangDepartment of Orthopaedic, Yantai Mountain Hospital, Yantai, Shandong, China.
Jie QinDepartment of Spine Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jie HaoDepartment of Spine Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Bailing ChenDepartment of Spine Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. chenbl96@mail.sysu.edu.cn.
First Affiliated Hospital of Chongqing Medical University · CNKey Laboratory of Guangdong Province · CNSun Yat-sen University · CNThe First Affiliated Hospital, Sun Yat-sen University · CNSouthern Medical University · CNYantaishan Hospital · CN

Funding

Natural Science Foundation of china 31570976the Science and Technology Program of Guangzhou 201604020148
6 · The paper itself

Abstract

backgroundWith the increase in life expectancy, a large number of patients with osteoporosis (OP) are undergoing spine surgery, which may adversely affect the surgical success rate. The prevalence of OP varies in different regions, and no data are available that represent the prevalence of OP among Chinese patients over 50 years of age who are undergoing spine surgery. It was the first multicenter study to assess OP in these patients. Aiming to obtain comprehensive data, this study combined bone mineral density (BMD) measurements and visual radiography assessment (VRA) to analyze the prevalence of OP in patients aged > 50 years who underwent spine surgery.

methodsData from 1,856 patients aged over 50 years undergoing spine surgery who resided in northern, central, and southern China were reviewed between 2018 and 2019. Based on the perioperative BMD and X-ray data, we calculated the prevalence of OP in this special population according to sex, age, and spine degenerative disease.

resultsA total of 1,245 patients (678 females and 567 males) were included in the study. The prevalence of OP diagnosed by BMD was 52.8 % in females and 18.7 % in males. When we combined with BMD and VRA, the prevalence of OP increased from 52.8 to 65.9 % in females and from 18.7 to 40.6 % in males. Although OP was more severe in females than in males, a significant difference in the rate of vertebral fracture (VF) was not observed between females and males with a normal BMD and osteopenia (females vs. males: aged 50-59 years, P = 0.977; 60-69 years, P = 0.302; >70 years, P = 0.172). Similarly, no significant difference in the vertebral fracture rate was observed within different age groups of patients with a normal BMD and osteopenia (females: P = 0.210; males, P = 0.895). The incidence of OP in patients with degenerative scoliosis was higher than that in the remaining patients (females: 63.6 % vs. 42.4 %, P = 0.018; males: 38.9 % vs. 13.8 %, P = 0.004).

conclusionsA high prevalence of OP was identified in patients aged > 50 years undergoing spine surgery, especially in patients whose primary diagnosis was degenerative scoliosis. BMD and VRA evaluations should be included in the clinical routine for these patients prior to surgery.

Indexed as

OsteoporosisSpinal FracturesAbsorptiometry, PhotonBone DensityChinaFemaleHumansMaleMiddle AgedPrevalenceChineseOsteoporosisPrevalenceSpine surgeryVertebral fracture

Identifiers

PMID34120598
PMCPMC8201731
OpenAlexW3171053970

What OpenQuestion holds

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LicenceCC BY
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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.