Evidence map›Paper›PMID 26791408›Full record

ArticleJournal of translational medicine2016

The association of liver fat content and serum alanine aminotransferase with bone mineral density in middle-aged and elderly Chinese men and postmenopausal women.

Ming-Feng Xia, Huan-Dong Lin, Hong-Mei Yan, Hua Bian, Xin-Xia Chang, Lin-Shan Zhang, Wan-Yuan He, Xin Gao

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. [Metabolic-associated fatty liver disease (MAFLD): a multisystemic disease beyond the liver].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025
    Review
  8. Article
  9. Article
  10. Biochemistry and biophysics reports · 2024
    Article
  11. Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

8 authors at 3 institutions in 1 country.

Ming-Feng XiaDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China. dr_xiamingfeng@163.com.
Huan-Dong LinDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China. lin.huandong@zs-hospital.sh.cn.
Hong-Mei YanDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China. yan.hongmei@zs-hospital.sh.cn.
Hua BianDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China. bian.hua@zs-hospital.sh.cn.
Xin-Xia ChangDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China. chang.xinxia@zs-hospital.sh.cn.
Lin-Shan ZhangDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China. zhang.linshan@zs-hospital.sh.cn.
Wan-Yuan HeDepartment of Ultrasonography, Zhongshan Hospital, Fudan University, Shanghai, China. he.wanyuan@zs-hospital.sh.cn.
Xin GaoDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China. zhongshan_endo@126.com.
Fudan University · CNSun Yat-sen University · CNThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent studies have linked non-alcoholic fatty liver disease (NAFLD) to a reduced bone mineral density (BMD). We aimed to detect the quantitative association of liver fat content (LFC) and serum alanine aminotransferase (ALT) with BMD in a middle-aged and elderly Chinese population.

methodsThe lumbar spine, hip and whole body BMDs were measured using dual-energy x-ray absorptiometry (Lunar iDXA, GE Healthcare) in 1659 Chinese (755 men and 1028 postmenopausal women) from Shanghai Changfeng community. Liver fat content was quantified via an ultrasound quantitative method. Multivariate linear regression analyses were carried out to determine the independent association of LFC and serum ALT with BMD and bone metabolic biomarkers. We also attempted to investigate the synergistic association between LFC and ALT as risk factors for bone mineral loss in Chinese.

resultsSubjects with higher LFC had significantly lower BMD at all skeletal sites. Univariate correlation analysis showed that both LFC and ALT were inversely associated with BMD at the spine (r = -0.116, P < 0.001 and r = -0.102, P = 0.005), hip (r = -0.095, P = 0.014 and r = -0.075, P = 0.041) and whole body sites (r = -0.134, P < 0.001 and r = -0.164, P < 0.001) in men. After confounders were controlled for, LFC and ALT remained associated with BMD and bone formation biomarkers in men, but not postmenopausal women. When both NAFLD and elevation of ALT were present, there was a significant synergistic worsening of the BMDs at all bone sites.

conclusionsLiver fat content and serum ALT were inversely correlated with BMD in middle-aged and elderly men. The underlying mechanism might relate to a reduction in osteoblast activity. Elevation of the hepatotoxic biomarker ALT may indicate high risk for osteoporosis in patients with NAFLD.

Indexed as

AdiposityAsian PeopleBone DensityAgedAged, 80 and overAlanine TransaminaseBiomarkersChinaDemographyFemaleHumansLinear ModelsLiverMaleMiddle AgedPostmenopauseAlanine TransaminaseBiomarkers

Identifiers

PMID26791408
PMCPMC4721203
OpenAlexW2265890460

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.