Evidence map›Paper›PMID 30304107›Full record

ArticleArchives of endocrinology and metabolism2018

Lean mass as a determinant of bone mineral density of proximal femur in postmenopausal women.

Rosangela Villa Marin-Mio, Linda Denise Fernandes Moreira, Marília Camargo, Neide Alessandra Sansão Périgo, Maysa Seabra Cerondoglo, Marise Lazaretti-Castro

Open access · diamondAbstract read
In one paragraph

Article in Archives of endocrinology and metabolism, 2018. 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
1.0field-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

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, 14 citations in OpenAlex.

  1. Muscle mass, not fat mass, predicts vertebral fracture risk: Vietnam osteoporosis study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
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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.

Rosangela Villa Marin-MioDisciplina de Endocrinologia da Universidade Federal de São Paulo (Unifesp), São Paulo, SP Brasil.
Linda Denise Fernandes MoreiraDisciplina de Endocrinologia da Universidade Federal de São Paulo (Unifesp), São Paulo, SP Brasil.
Marília CamargoDisciplina de Endocrinologia da Universidade Federal de São Paulo (Unifesp), São Paulo, SP Brasil.
Neide Alessandra Sansão PérigoDisciplina de Geriatria e Gerontologia da Universidade Federal de São Paulo (Unifesp), São Paulo, SP, Brasil.
Maysa Seabra CerondogloDisciplina de Geriatria e Gerontologia da Universidade Federal de São Paulo (Unifesp), São Paulo, SP, Brasil.
Marise Lazaretti-CastroDisciplina de Endocrinologia da Universidade Federal de São Paulo (Unifesp), São Paulo, SP Brasil.
Universidade Federal de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo verify which component of body composition (BC) has greater influence on postmenopausal women bone mineral density (BMD). SUBJECTS AND

methodsFour hundred and thirty women undergoing treatment for osteoporosis and 513 untreated women, except for calcium and vitamin D. Multiple linear regression analysis was performed in order to correlated BMD at lumbar spine (LS), total femur (FT), femoral neck (FN) with body mass (BM), total lean mass (LM) and total fat mass (FM), all determined by DXA.

resultsBM significantly correlated with all bone sites in untreated and treated women (r = 0.420 vs 0.277 at LS; r = 0.490 vs 0.418 at FN, r = 0.496 vs 0.414 at FT, respectively). In untreated women, the LM correlated better than FM with all sites, explaining 179% of LS; 32.3% of FN and 30.2% of FT; whereas FM explained 13.2% of LS; 277% of FN, 23.4% of FT In treated women, correlations with BC were less relevant, with the LM explaining 6.7% of BMD at LS; 15.2% of FN, 16% of FT, whereas the FM explained 8.1% of LS; 179% of FN and 176% of FT.

conclusionLM in untreated women was better predictor of BMD than FM, especialy for distal femur, where it explained more than 30% of the BMD, suggesting that maintaining a healthy muscle mass may contribute to decrease osteoporosis risk. Treatment with anti-osteoporotic drugs seems to mask these relationships. Arch Endocrinol Metab. 2018;62(4):431-7.

Indexed as

Absorptiometry, PhotonAdipose TissueAdultAgedAged, 80 and overBody CompositionBody WeightBone DensityCross-Sectional StudiesFemaleFemurHumansLumbar VertebraeMiddle AgedOsteoporosis, PostmenopausalRisk Factors

Identifiers

PMID30304107
PMCPMC10118739
OpenAlexW2906140648

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.