Evidence map›Paper›PMID 39768249›Full record

ArticleLife (Basel, Switzerland)2024

Evaluation of Bone Biomarkers in Renal Osteodystrophy.

Alinie Pichone, Carlos Perez Gomes, Carolina Aguiar Moreira, Maria Lucia Fleiuss Farias, Maurilo Leite

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Alinie PichoneDivision of Nephrology, Hospital Universitário Clementino Fraga Filho, Federal University of Rio de Janeiro, Rua Prof. Rodolpho Paulo Rocco, 255-Cidade Universitária, Rio de Janeiro 21941-617, RJ, Brazil.ORCID 0000-0003-2209-9796
Carlos Perez GomesDivision of Nephrology, Hospital Universitário Clementino Fraga Filho, Federal University of Rio de Janeiro, Rua Prof. Rodolpho Paulo Rocco, 255-Cidade Universitária, Rio de Janeiro 21941-617, RJ, Brazil.ORCID 0000-0003-4565-7404
Carolina Aguiar MoreiraDivision of Endocrinology, Academic Research Center of Pro Renal Institute, Rua Vicente Machado, 2190, Curitiba 80060-900, PR, Brazil.
Maria Lucia Fleiuss FariasDivision of Endocrinology, Hospital Universitário Clementino Fraga Filho, Federal University of Rio de Janeiro, Rua Prof. Rodolpho Paulo Rocco, 255-Cidade Universitária, Rio de Janeiro 21941-617, RJ, Brazil.
Maurilo LeiteDivision of Nephrology, Hospital Universitário Clementino Fraga Filho, Federal University of Rio de Janeiro, Rua Prof. Rodolpho Paulo Rocco, 255-Cidade Universitária, Rio de Janeiro 21941-617, RJ, Brazil.ORCID 0000-0003-2030-598X

Funding

Coordenação de Aperfeicoamento de Pessoal de Nível Superior Finance Code 001Financiadora de Estudos e Projetos 01.16.0079.00Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro CNE Maurilo Leite Jr
6 · The paper itself

Abstract

Renal osteodystrophy (ROD) represents histological bone changes in patients with chronic kidney disease and is classified according to turnover and mineralization. This cross-sectional study evaluates several bone biomarkers and their ability to discriminate turnover and mineralization defects in hemodialysis (HD) patients. Bone-specific [BSAP] and total [tAP] alkaline phosphatase, procollagen-1 N-terminal propeptide [P1NP], C-terminal cross-linking telopeptide [CTX], intact [iPTH] and whole [wPTH] parathyroid hormone, sclerostin [SOST], fibroblast growth factor 23 [FGF-23], vitamin D, osteoprotegerin [OPG], and receptor activator of nuclear factor κB ligand [RANKL] were collected before the bone biopsy. Thirty-two patients were evaluated by bone histomorphometry, which identified mineralization defects and low and high turnover in 47%, 50%, and 41% of patients, respectively. Bone biomarkers (tAP, BSAP, CTX, P1NP) and hormones (iPTH, wPTH, and SOST) were capable of identifying low and high turnover (AUC > 0.877 and >0.857, respectively,

Indexed as

bone biomarkersbone biopsyhemodialysishistomorphometrymineralizationrenal osteodystrophyturnover

Identifiers

PMID39768249
PMCPMC11679507

What Socratic holds

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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 Socratic graph.