Evidence map›Paper›PMID 39143487›Full record

ArticleBMC geriatrics2024

Long-term quality of life and influencing factors in elderly patients after vertebroplasty based on the EQ-5D-3L Chinese utility scoring system: a retrospective study.

Min Gao, Zhen Zeng, Xiuli Jiang, Jianyun Ge, Jie Song

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Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Min Gao *Department of Anesthesiology, Affiliated Hospital 2 of Nantong University, Nantong, Jiangsu Province, China.
Zhen Zeng *Department of Anesthesiology, Affiliated Hospital 2 of Nantong University, Nantong, Jiangsu Province, China.
Xiuli Jiang *Department of Anesthesiology, Affiliated Hospital 2 of Nantong University, Nantong, Jiangsu Province, China.
Jianyun GeDepartment of Anesthesiology, Affiliated Hospital 2 of Nantong University, Nantong, Jiangsu Province, China. 34104645@qq.com.
Jie SongDepartment of Anesthesiology, Affiliated Hospital 2 of Nantong University, Nantong, Jiangsu Province, China. songjie1004@sina.com.

Funding

Nantong Municipal Bureau of Science and Technology JC22022070
6 · The paper itself

Abstract

backgroundThe quality of life of elderly patients after vertebroplasty is influenced by various factors. Although the EuroQol 5-Dimension 3-Level (EQ-5D-3L) scale has been widely used to assess quality of life, the factors affecting the long-term postoperative quality of life of elderly vertebroplasty patients in China have not been thoroughly studied.

methodsThis retrospective study included 519 patients aged 65 years and older who underwent elective vertebroplasty. We collected baseline data from these patients and conducted telephone follow-ups 12 months postoperation to evaluate their EQ-5D-3L health utility scores and EuroQol Visual Analogue Scale (EQ-VAS) scores. Univariate and multivariate linear regression models were used to analyse the factors affecting quality of life.

resultsOf the 519 patients, the majority were female (78.0%), aged 65 to 95 years, with an average age of 75.2 years. Twelve months postoperation, pain/discomfort was the most commonly reported issue for 68.4% of patients. The median EQ-5D-3L health utility score was 0.783, with a range between 0.450 and 0.887; the median EQ-VAS score was 75, ranging from 60 to 85. Multivariate linear regression analysis indicated that older age, hormone use, higher American Society of Anesthesiologists (ASA) grades, nondrinking habits, and low albumin levels were found to be independent risk factors affecting long-term quality of life in elderly patients after vertebroplasty. Additionally, a history of tumours, the number of vertebral compression fractures, and bone mineral density were also crucial influencing factors.

conclusionsBased on the use of the EQ-5D-3L Chinese utility scoring system, we evaluated the quality of life of patients aged 65 and above 12 months after vertebroplasty. This study identified several factors related to postoperative quality of life in elderly vertebroplasty patients, providing crucial evidence for further clinical decisions and patient education.

Indexed as

Quality of LifeVertebroplastyAgedAged, 80 and overChinaEast Asian PeopleFemaleFollow-Up StudiesHumansMaleRetrospective StudiesSpinal FracturesTime FactorsChinese utility scoring systemElderly vertebroplastyEQ-5D-3LInfluencing factorsLong-term quality of life

Identifiers

PMID39143487
PMCPMC11323696

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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.