Evidence map›Paper›PMID 26311162›Full record

Observational studyBMC musculoskeletal disorders2015

Cystatin C as a potential predictor of osteoprotegerin levels in healthy men, a cross-sectional, observational study.

Eva Kulcsar-Jakab, Zsofia Petho, Zoltan Pap, Edit Kalina, Roza Foldesi, Adam Balogh, Peter Antal-Szalmas, Harjit Pal Bhattoa

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC musculoskeletal disorders, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-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

5 citing papers in PubMed, 11 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

8 authors at 1 institution in 1 country.

Eva Kulcsar-JakabDepartment of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary. kulcsar.jakab.eva@gmail.com.
Zsofia PethoDepartment of Rheumatology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary. pethozsofi@hotmail.com.
Zoltan PapDepartment of Traumatology and Hand Surgery, Faculty of Medicine, University of Debrecen, Debrecen, Hungary. papkacsa@gmail.com.
Edit KalinaDepartment of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary. ekalina@med.unideb.hu.
Roza FoldesiDepartment of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary. vfrozika@gmail.com.
Adam BaloghRegional Osteoporosis Center, Department of Obstetrics and Gynecology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary. balogha@med.unideb.hu.
Peter Antal-SzalmasDepartment of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary. antalszp@med.unideb.hu.
Harjit Pal BhattoaDepartment of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary. harjit@med.unideb.hu.
University of Debrecen · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of the present study is to evaluate serum osteoprotegerin (OPG) and soluble receptor activator of nuclear factor κB ligand (sRANKL) levels in a randomly selected male cohort over 50 years of age and its association with cystatin C, a cysteine proteinase inhibitor that decreases formation of osteoclasts by interfering at a late stage of pre-osteoclast differentiation, apart from being a marker of renal function independent of gender, muscle mass and age; in addition to known predictors such as age, sex hormones, vitamin D, bone mineral density (BMD) and biochemical markers of bone turnover.

methodsWe determined serum OPG and sRANKL levels and examined its relationship with cystatin C, age, osteocalcin, C-terminal telopeptides of type-I collagen, procollagen type 1 amino-terminal propeptide, 25-hydroxyvitamin D, parathyroid hormone, total 17β-estradiol (E2), total testosterone and L1-L4 (LS) and femur neck (FN) BMD data available from 194 (age, range: 51-81 years) randomly selected ambulatory men belonging to the HunMen cohort.

resultsOPG correlated significantly with age (Spearman's rho (r) = 0.359, p < 0.001), cystatin C (r = 0.298, p < 0.001), E2 (r = 0.160, p = 0.028) and free testosterone index (FTI) (r = -0.230, p = 0.001). Compared to the middle-aged (age: ≤ 59 years, n = 98), older men (age > 59 years, n = 96) had significantly higher serum OPG (4.6 pmol/L vs. 5.4 pmol/L; p < 0.001), and lower sRANKL (0.226 pmol/L vs. 0.167 pmol/L; p = 0.048) levels. The older men showed a significant correlation between serum OPG levels and cystatin C (Spearman's rho = 0.322, p = 0.002), and E2 (Spearman's rho = 0.211, p = 0.043). Including cystatin C and E2 in a regression model showed that cystatin C (standard regression coefficient (β) = 0.345; p = 0.002) was the only significant predictor of serum OPG levels in the older men.

conclusionsThe results of this study demonstrated that in addition to age (which was the stronger predictor), other modifiable factors such as cystatin C, FTI and E2 were also significant predictors of OPG, and that the association between cystatin C and OPG was more evident with increased age (older age group). As such, cystatin C is a significant predictor of OPG independently of age, FTI and E2.

Indexed as

AdultAgedAged, 80 and overAnthropometryBiomarkersBone DensityCollagen Type ICross-Sectional StudiesCystatin CGonadal Steroid HormonesHumansMaleMiddle AgedOsteocalcinOsteoprotegerinParathyroid Hormone25-hydroxyvitamin DBiomarkersCollagen Type Icollagen type I trimeric cross-linked peptideCST3 protein, humanCystatin CGonadal Steroid HormonesOsteocalcinOsteoprotegerinParathyroid HormonePeptidesRANK LigandTNFRSF11B protein, humanTNFSF11 protein, humanVitamin D

Identifiers

PMID26311162
PMCPMC4551745
OpenAlexW2123988536

What OpenQuestion holds

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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.