Evidence map›Paper›PMID 40044973›Full record

ArticleJournal of bone and mineral metabolism2025

Associations between hormones, metabolic markers, and bone mass in perimenopausal and postmenopausal women.

Bingru Lu, Qunxiao Han, Shiyu Zhao, Shan Ding, Guolin Bao, Yiqing Liu

Abstract read
In one paragraph

Article in Journal of bone and mineral metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–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, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Bingru LuDepartment of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 324 Jingwuweiqi Rd, Huaiyin, Jinan, 250021, Shandong, People's Republic of China.
Qunxiao HanDepartment of Clinical Laboratory, Binzhou Central Hospital, Binzhou, 251700, Shandong Province, China.
Shiyu ZhaoDepartment of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 324 Jingwuweiqi Rd, Huaiyin, Jinan, 250021, Shandong, People's Republic of China.
Shan DingDepartment of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 324 Jingwuweiqi Rd, Huaiyin, Jinan, 250021, Shandong, People's Republic of China.
Guolin BaoDepartment of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 324 Jingwuweiqi Rd, Huaiyin, Jinan, 250021, Shandong, People's Republic of China.
Yiqing LiuDepartment of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 324 Jingwuweiqi Rd, Huaiyin, Jinan, 250021, Shandong, People's Republic of China. yqliu1979@163.com.ORCID http://orcid.org/0000-0002-2844-2770

Funding

Natural Science Foundation of Shandong Province ZR2016HM52Natural Science Foundation of Shandong Province ZR2020MH316Natural Science Foundation of Shandong Province ZR2020QH089
6 · The paper itself

Abstract

introductionTo explore the associations between hormones, metabolic markers, and low bone mass in perimenopausal and postmenopausal women. MATERIALS AND

methodsA total of 198 women were enrolled in this study. The correlations between hormones, metabolic markers, and BMD were analyzed. Risk factors for bone loss were identified. Receiver operating characteristic (ROC) curves were used to display the predictive power of these risk factors.

resultsThe years since menopause and the levels of glucose (GLU), follicle-stimulating hormone (FSH), and luteinizing hormone (LH) were inversely correlated with BMD, while estrogen and testosterone were positively correlated with BMD. Age (odds ratio [OR] 1.232; 95% confidence interval [CI] 1.106-1.372; p < 0.001), GLU (OR 1.848; 95% CI 1.116-3.059; p = 0.017), and FSH (OR 1.089; 95% CI 1.003-1.182; p = 0.042) were identified as risk factors for bone loss. Age (AUC = 0.884, 95% CI 0.833-0.935), FSH (AUC = 0.824, 95% CI 0.760-0.888), and GLU (AUC = 0.683, 95% CI 0.599-0.768) demonstrated significant discrimination capability for bone loss. The combined application of these factors resulted in a better prediction effect (AUC = 0.930, 95% CI 0.893-0.967).

conclusionsAge, FSH, and GLU were found to be specific risk factors for bone loss. The utilization of these factors offers compelling predictive power for bone loss in perimenopausal and postmenopausal women.

Indexed as

BiomarkersBone DensityHormonesPerimenopausePostmenopauseAdultAgedFemaleFollicle Stimulating HormoneHumansLuteinizing HormoneMiddle AgedRisk FactorsROC CurveBiomarkersFollicle Stimulating HormoneHormonesLuteinizing HormoneBone mass lossBone mineral densityFollicle-stimulating hormoneGlucosePostmenopausal osteoporosis

Identifiers

PMID40044973
PMCPMC12279895

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LicenceCC BY
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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.