Evidence map›Paper›PMID 38378530›Full record

ArticleBMC musculoskeletal disorders2024

Correlation between bone density, bone metabolism markers with lipid metabolism markers and body mass index.

Hao Han, Ran Li, Dongming Fu, Hongyou Zhou, Zihao Zhan, Yi'ang Wu, Bin Meng

Open access · goldAbstract read
In one paragraph

Article in BMC musculoskeletal disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
13.4field-weighted citation impact, top 1% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Hao HanDepartment of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China.
Ran LiDepartment of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China.
Dongming FuDepartment of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China.
Hongyou ZhouDepartment of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China.
Zihao ZhanDepartment of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China.
Yi'ang WuDepartment of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China.
Bin MengDepartment of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China. mengbinspine@163.com.
First Affiliated Hospital of Soochow University · CNSoochow University · CN

Funding

Jiangsu Provincial Key R&D Programme-Social Development BE2022730
6 · The paper itself

Abstract

purposeWe aimed to explore the relationship between bone mineral density (BMD), bone metabolism markers, and blood lipid-related indicators, body mass index (BMI) in elderly individuals.

methodsA retrospective analysis was conducted on 710 patients. Patients' gender, age, height, weight, bone density values, T-scores, bone metabolism markers (including serum N-terminal propeptide of type I collagen (s-PINP), serum C-terminal telopeptide of type I collagen (s-CTX) and 1,25-dihydroxyvitamin D

resultsHDL-C negatively correlates with BMD and s-CTX. TG, Castelli index, and BMI positively correlate with BMD. BMI negatively correlates with s-PINP. 1,25(OH)

conclusionsHDL-C may have a predictive role in osteoporosis, particularly in women. The likelihood of osteoporosis is lower in individuals with high BMI or hyperlipidemia. Some lipid metabolism markers can be used to predict osteoporosis, and further research is needed.

Indexed as

Bone DensityOsteoporosisAgedBody Mass IndexCholesterol, HDLCholesterol, LDLFemaleHumansLipid MetabolismLipidsMaleRetrospective StudiesTriglyceridesCholesterol, HDLCholesterol, LDLLipidsTriglyceridesBody mass indexBone mineral densityBone turnover markersLipid profileOsteoporosis

Identifiers

PMID38378530
PMCPMC10877819
OpenAlexW4391971393

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.