Evidence map›Paper›PMID 32280169›Full record

ArticleJournal of orthopaedics

Bone mineral density of proximal femur in adult Chinese females.

Fanjie Li, Yibin Du

Open access · bronzeAbstract read
In one paragraph

Article in Journal of orthopaedics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 96% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

2 authors at 1 institution in 1 country.

Fanjie LiDepartment of Orthopaedics, Third Affliated Hospital, Anhui Medical University, Hefei, Anhui, 230022, PR China.
Yibin DuDepartment of Orthopaedics, Third Affliated Hospital, Anhui Medical University, Hefei, Anhui, 230022, PR China.
Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study was designed to establish bone mineral density (BMD) reference data of proximal femur, research the effect of age, height and weight on BMD of proximal femur, and estimate the prevalence of osteoporosis in a Chinese female population. In addition we compared the results with Lebanese and USA white women reference data.

methodsOur study was conducted at one center, including 1578 Chinese women, aged 20-79years. We measured the BMD for proximal femur using dual-energy X-ray absorptiometry, and then established a reference database of proximal femur and set up regression equations of age, height and weight for BMD at proximal femur to research the effects of age, height and weight on BMD. After that, we calculated the standardized BMD and compared them with Lebanese and USA white women reference data.

resultsThe peak BMD occurred in the age range 30-39 years for femoral neck and Ward's triangle, and 40-49 years for trochanter in Chinese women, which were later than in Lebanese and USA white women. The BMD of proximal femur in Chinese women were lower than Lebanese and USA white women in most age ranges. Weight profoundly influenced BMD in all age groups, and age and height mainly effected BMD in older age groups. The standardized prevalence of osteoporosis among Chinese women of 50-79 years old was 9.6% in femoral neck, which was higher than Lebanese but lower than USA white women.

conclusionThe BMD database of proximal femur in Chinese women we established is normative and different from Lebanese and USA white women reference data, which provides more reliable information on the prevalence of osteoporosis in China.

Indexed as

Bone mineral densityChinese womenDual-energy X-ray absorptiometryOsteoporosis

Identifiers

PMID32280169
PMCPMC7138931
OpenAlexW3016141881

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.