Evidence map›Paper›PMID 31341889›Full record

Trial reportBioMed research international2019

Establishment of Prediction Equations of Lean Body Mass Suitable for Chinese Adults.

Jinhua Li, Jingjie Shang, Bin Guo, Jian Gong, Hao Xu

Abstract readClinical Trial
In one paragraph

Trial report in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. 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

5 authors.

Jinhua LiDepartment of Ultrasound, Medical Imaging Center, The First Affiliated Hospital, Jinan University, Guangzhou, China.ORCID https://orcid.org/0000-0002-3817-0035
Jingjie ShangDepartment of Nuclear Medicine, The First Affiliated Hospital, Jinan University, Guangzhou, China.ORCID https://orcid.org/0000-0003-1038-0425
Bin GuoDepartment of Nuclear Medicine, The First Affiliated Hospital, Jinan University, Guangzhou, China.ORCID https://orcid.org/0000-0002-8611-6914
Jian GongDepartment of Nuclear Medicine, The First Affiliated Hospital, Jinan University, Guangzhou, China.ORCID https://orcid.org/0000-0002-5643-2633
Hao XuDepartment of Nuclear Medicine, The First Affiliated Hospital, Jinan University, Guangzhou, China.ORCID https://orcid.org/0000-0002-6199-3929

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo develop predictive equations of lean body mass (LBM) suitable for healthy southern Chinese adults with a large sample. LBM measured by dual-energy X-ray absorptiometry (DXA) are considered as the standard ones.

methodsRetrospective analysis was conducted on the consecutive people who did total body measurement with DXA from July 2005 to October 2015. People with diseases that might affect LBM were excluded and overall 12,194 subjects were included in this study. Information about the 10,683 subjects (2,987 males and 7,696 females) from July 2005 to November 2014 was used to establish equations. These subjects were grouped by sex and then subdivided according to their body mass index (BMI). The female group was divided into another two subgroups: the premenopausal and postmenopausal subgroups. Equations were developed through stepwise multilinear regression analysis of height, weight, age, and BMI. Information about the 1,511 subjects (395 males and 1116 females) from December 2014 to October 2015 was used to verify the established equations.

resultsBMI, height, weight, and age were introduced into the equations as independent variables in the male group, while age was proved to have no influence on LBM in the female group. Regrouping according to BMI or menopause did not increase the predictive ability of equations. Good agreement between LBM evaluated by equation (LBM_PE) and LBM measured by DXA (LBM_DXA) was observed in both the male and female groups.

conclusionPredictive equations of LBM suitable for healthy southern Chinese adults are established with a large sample. BMI was related to LBM content; however, there is no need for further group based on BMI or menopause while developing LBM questions.

Indexed as

AgingBody HeightBody Mass IndexAbsorptiometry, PhotonAdolescentAdultAgedAged, 80 and overAsian PeopleChinaFemaleHumansMaleMiddle AgedRetrospective Studies

Identifiers

PMID31341889
PMCPMC6612995

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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.