ArticleFrontiers in cardiovascular medicine2022
Elucidating the relationship between dyslipidemia and osteoporosis: A multicenter, prospective cohort study protocol.
Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- Integration of metabolomics and machine learning algorithm for discovery of early diagnostic biomarkers of osteoporosis.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Adiposity-lipid-glycemic clusters as potential warning signals of bone mass reduction in Asia's largest urban communities - based bone health assessment via ultrasound.Lipids in health and disease · 2025Article
- Systematic druggable genome-wide Mendelian randomization identifies therapeutic targets for osteoporosis.Osteoporosis and sarcopenia · 2025Article
- U-shaped association between TC/HDL-C ratio and osteoporosis risk in older adults.Scientific reports · 2025Article
- Association of HDL and LDL levels with osteoporosis in rheumatoid arthritis: a retrospective cohort study.European journal of medical research · 2024Article
- The Causal Relationship between PCSK9 Inhibitors and Osteoporosis Based on Drug-Targeted Mendelian Combined Mediation Analysis.Calcified tissue international · 2024Article
- Hypothyroidism correlates with osteoporosis: potential involvement of lipid mediators.Frontiers in medicine · 2024Article
- Common Regulators of Lipid Metabolism and Bone Marrow Adiposity in Postmenopausal Women.Pharmaceuticals (Basel, Switzerland) · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: A previous study has shown similar factors in dyslipidemias (DL) and osteoporosis (OP). However, no cohort study has been reported on the association between DL and OP in the postmenopausal population in China. This study aims to provide epidemiological and pathophysiological evidence regarding the association between DL and bone mass and fracture risk. Methods: This is a multicenter, prospective cohort study that will have approximately 1,100 representative participants enrolled from multiple hospitals or communities in China. They will be divided into two groups according to whether or not they are exposed to dyslipidemia and will be epidemiologically investigated. Each participant will be visited continuously once every year with a minimum follow-up of 3 years to track incidences of OP. Meanwhile, free bone density screening, questionnaires, and blood sample collection will also be completed during this period. Conclusion: The current study is likely to provide greater insight into the relationship between lipid metabolism and bone metabolism in postmenopausal women. Furthermore, the research result maybe fed into public health strategies with regard to metabolic disease prevention.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.