Evidence map›Paper›PMID 35545324›Full record

ArticleZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences2022

Comparison of femoral neck geometric parameters between Chinese and Japanese females.

Lin Li, Xianping Wu, Hong Zhang, Eryuan Liao, Ruchun Dai, Xiyu Wu

Open access · greenAbstract read
In one paragraph

Article in Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed, 0 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

6 authors at 1 institution in 1 country.

Lin LiDepartment of Metabolism and Endocrinology, Second Xiangya Hospital, Central South University; National Clinical Research Center for Metabolic Diseases; Hunan Provincial Key Laboratory of Metabolic Bone Diseases, Changsha 410011. linli2016@csu.edu.cn.
Xianping WuDepartment of Metabolism and Endocrinology, Second Xiangya Hospital, Central South University; National Clinical Research Center for Metabolic Diseases; Hunan Provincial Key Laboratory of Metabolic Bone Diseases, Changsha 410011.
Hong ZhangDepartment of Metabolism and Endocrinology, Second Xiangya Hospital, Central South University; National Clinical Research Center for Metabolic Diseases; Hunan Provincial Key Laboratory of Metabolic Bone Diseases, Changsha 410011.
Eryuan LiaoDepartment of Metabolism and Endocrinology, Second Xiangya Hospital, Central South University; National Clinical Research Center for Metabolic Diseases; Hunan Provincial Key Laboratory of Metabolic Bone Diseases, Changsha 410011.
Ruchun DaiDepartment of Metabolism and Endocrinology, Second Xiangya Hospital, Central South University; National Clinical Research Center for Metabolic Diseases; Hunan Provincial Key Laboratory of Metabolic Bone Diseases, Changsha 410011. dairuchun@csu.edu.cn.
Xiyu WuDepartment of Metabolism and Endocrinology, Second Xiangya Hospital, Central South University; National Clinical Research Center for Metabolic Diseases; Hunan Provincial Key Laboratory of Metabolic Bone Diseases, Changsha 410011. wuxiyu640@csu.edu.cn.
Central South University · CN

Funding

the Clinical Big Data Project of Central South University [2013]15-86the Clinical Medical Technology Innovation Guiding Project of Hunan Province 2020SK53006
6 · The paper itself

Abstract

objectivesFemoral neck fracture is the most serious osteoporotic fractures that is responsible for high medical costs and high mortality. Femoral neck geometric parameters (FNGPs) are important parameters that reflect the geometrical characteristics of femoral neck, and are closely related to the strength of femoral neck and the risk of fragility fracture.There are differences in the incidence of femoral neck fractures among races. However, whether there is difference in FNGPs among races is unknown.Therefore, this study aims to compare the differences in FNGPs between Chinese and Japanese females.

methodsThis study was a cross-sectional study, in which 3 859 healthy females aged 10-86 (45.7±17.1) years old were recruited from Changsha City of Hunan Province and surrounding areas. The weight and height were measured and recorded, and the body mass index (BMI) was calculated. A dual energy X-ray absorptiometry (DXA) bone densitometer was used to measure femoral neck projective bone area (BA) and bone mineral density (BMD). FNGPs were calculated using the BMD and BA, which included the outer diameter (OD), cross-sectional area (CSA), cortical thickness (CT), endocortical diameter (ED), buckling ratio (BR), section modulus (SM), cross-sectional moment of inertia (CSMI), and compression strength index (CSI). The data of FNGPs in Japanese females was collected from literature. These subjects were grouped by 10-year age. The mean and standard deviation of height, weight, BMI, femoral neck BMD, and FNGPs of each group were calculated. The model with the best goodness-of-fit was selected from various mathematical regression models to analyze the distribution trend and the best fitting curve of FNGPs with age. The differences in FNGPs between Chinese and Japanese females were analyzed by using age-corresponding mean fitting curve for paired

resultsThe mean values of FNGPs were significantly different among different years old healthy females (all

conclusionsThe study reveals the variation of FNGPs with age in Chinese, and confirms that there are racial differences in FNGPs between Chinese and Japanese females, which may be one of the important reasons for the difference in the incidence of femoral neck fracture between Chinese and Japanese females.

Indexed as

Femoral Neck FracturesFemur NeckAbsorptiometry, PhotonAdultAged, 80 and overBone DensityChinaCross-Sectional StudiesFemaleHumansJapanMiddle AgedYoung Adultbone densitometryfemale populationfemoral neck geometric parametersrace difference

Identifiers

PMID35545324
PMCPMC10930054
OpenAlexW4280642471

What OpenQuestion holds

Textmetadata
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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.