Evidence map›Paper›PMID 30897592›Full record

ArticleChinese medical journal2019

Efficacy of weight adjusted bone mineral content in osteoporosis diagnosis in Chinese female population.

Ting-Ting Liu, Xiao-Dan Li, Wen-Zhi Wang, Jian-Gao Zhang, Ding-Zhuo Yang

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Chinese medical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 25% 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

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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

8 citing papers in PubMed, 10 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

5 authors at 2 institutions in 1 country.

Ting-Ting LiuDepartment of Internal Medicine, No. 4 West China Teaching Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
Xiao-Dan LiDepartment of Internal Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
Wen-Zhi WangDepartment of Internal Medicine, No. 4 West China Teaching Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
Jian-Gao ZhangFaculty of Construction Management and Real Estate, Chongqing University, Chongqing 400045, China.
Ding-Zhuo YangDepartment of Internal Medicine, No. 4 West China Teaching Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
Sichuan University · CNChongqing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAreal bone mineral density (aBMD) applied for osteoporosis diagnosis unavoidably results in the missingdiagnosis in patients with large bones and misdiagnosis in those with small bones. Therefore, we try to find a new adjusted index of bone mineral content (BMC) to make up shortcomings of aBMD in osteoporosis diagnosis.

methodsIn this multi-center epidemiological study, BMC and aBMD of lumbar spines (n = 5510) and proximal femurs (n = 4710) were measured with dual energy X-ray absorptiometry (DXA). We analyzed the correlation between the bone mass and body weight in all subjects including four age groups (<19 years, 20-39 years, 40-49 years, >50 years). And then the body weight was used for standardizing BMC (named wBMC) and applied for the epidemiological analysis of osteoporosis.

resultsThe correlation of body weight and BMC is 0.839 to 0.931 of lumbar vertebra 1-4 (L1-4), and 0.71 to 0.95 of femoral neck in different age groups. When aBMD was applied for diagnosing osteoporosis, the prevalence was 7.55%, 16.39%, and 25.83% in patients with a high, intermediate, and low body weight respectively. However, the prevalence was 21.8%, 18.03%, and 11.64% by wBMC applied for diagnosing osteoporosis. Moreover, the prevalence of osteoporosis increased by 3.76% by wBMC with the body weight increased by 5 kg. The prevalence decreased by 1.94% when the body weight decreased by 5 kg.

conclusionswBMC can reduce the missed diagnosis in patients with large body weight and reduce misdiagnosis in those with small body weight. Including children, wBMC may be feasible for osteoporosis diagnosis individuals at any age.

Indexed as

Absorptiometry, PhotonAdultAge FactorsBody WeightBone DensityFemaleFemur NeckHumansLumbar VertebraeMiddle AgedOsteoporosisPrevalenceYoung Adult

Identifiers

PMID30897592
PMCPMC6595849
OpenAlexW2917174964

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.