Evidence map›Paper›PMID 36598565›Full record

ArticleCalcified tissue international2023

The Association of Cardiovascular Diseases Risk Scores and Osteosarcopenia Among Older Adult Populations: The Results of Bushehr Elderly Health (BEH) Program.

Noushin Fahimfar, Hanieh Parsaiyan, Kazem Khalagi, Gita Shafiee, Mahnaz Sanjari, Mohammad Javad Mansourzadeh, Iraj Nabipour, Bagher Larijani, Davood Khalili, Afshin Ostovar

Abstract read
PubMed Publisher
In one paragraph

Article in Calcified tissue international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. FRAX predicts cardiovascular risk in women undergoing osteoporosis screening: the Manitoba bone mineral density registry.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2024
    Article
  3. Article
  4. 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

10 authors at 3 institutions in 1 country.

Noushin FahimfarOsteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Hanieh ParsaiyanOsteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Kazem KhalagiOsteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Gita ShafieeChronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Mahnaz SanjariOsteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad Javad MansourzadehOsteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Iraj NabipourThe Persian Gulf Marine Biotechnology Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran.
Bagher LarijaniEndocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Davood KhaliliPrevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Afshin OstovarOsteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran. aostovar@tums.ac.ir.ORCID 0000-0001-8670-5797
Tehran University of Medical Sciences · IRBiotechnology Research Center · IRResearch Institute for Endocrine Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Considering the association of cardiovascular disease (CVD) with both osteoporosis and sarcopenia, this study aimed to explore the association between a newly developed CVD risk score and osteosarcopenia in the elderly population. Participants in the second phase of the Bushehr Elderly Health (BEH) program were included. Osteosarcopenia was defined as having both osteopenia/osteoporosis and sarcopenia. The 10-year CVD risk score was estimated using the WHO lab-based model. The participants were considered as high-risk if the CVD risk was ≥ 20%. The estimated risks were compared in individuals with and without osteosarcopenia. The association of CVD risk and osteosarcopenia was investigated using a logistic regression model, adjusted by potential confounders. In all, 2392 participants (1161 men) with a mean age of 69.3 (± 6.3) years were studied and 532 [242 (45.5%) men] individuals were diagnosed with osteosarcopenia. The median (IQR) CVD risks were 0.340 (0.214) and 0.229 (0.128) in men with and without osteosarcopenia, respectively (P < 0.001); In women, the corresponding values were 0.260 (0.147) and 0.207 (0.128), respectively (P < 0.001). Adjusted by confounders, CVD risk ≥ 20% in women, increased the odds of osteosarcopenia by 72%. Body mass index showed an inverse association with osteosarcopenia in both men (0.81, 95%CI: 0.78-0.85) and women (0.66, 95%CI: 0.62-0.70). Considering the area under the ROC curve, the models showed a discriminative ability of 82% in men and 89% in women. This study displayed a significant association between WHO CVD risk score and osteosarcopenia. Due to the difficult diagnosis of osteosarcopenia, the high association of cardiovascular risk score with this disease can help identify high-risk individuals and refer them for further diagnostic procedures. Considering the high prevalence of osteosarcopenia and its complications in the older population, comprehensive strategies are needed to find high-risk populations.

Indexed as

Cardiovascular DiseasesOsteoporosisSarcopeniaAgedFemaleHeart Disease Risk FactorsHumansMaleRisk FactorsCardiovascularIranOsteoporosisOsteosarcopeniaSarcopenia

Identifiers

PMID36598565
OpenAlexW4313488728

What OpenQuestion holds

Textmetadata
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.