Evidence map›Paper›PMID 28429254›Full record

ReviewCurrent osteoporosis reports2017

Biomarkers Predicting Bone Turnover in the Setting of CKD.

Pieter Evenepoel, Etienne Cavalier, Patrick C D'Haese

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current osteoporosis reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  19. The Non-invasive Diagnosis of Bone Disorders in CKD.Calcified tissue international · 2021
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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

3 authors.

Pieter EvenepoelDepartment of Immunology and Microbiology, Laboratory of Nephrology, KU Leuven, 3000, Leuven, Belgium. pieter.evenepoel@uzleuven.be.
Etienne CavalierDepartment of Clinical Chemistry, University of Liege, CHU de Liege, 4000, Liege, Belgium.
Patrick C D'HaeseDepartment of Biomedical Sciences, Laboratory of Pathophysiology, Antwerp University, 2610, Wilrijk, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of the reviewImpaired bone quality contributes to the increased fracture risk in chronic kidney disease patients. Both low and high turnover bone disease may compromise bone quality. The question arises whether bone biomarkers may be additive or replace bone histormorphometry for diagnosing the extremes of bone turnover. RECENT

findingsStudies exploring the performance of established and emerging bone biomarkers against histomorphometric assessment of bone turnover are limited and overall yield inconclusive results as to their diagnostic utility. Bone biomarkers, although promising, currently fail to meet the needed diagnostic accuracy to replace bone histomorphometry and thus are not yet ready for clinical use. Bone biomarkers have not only several advantages, but also important limitations such as high biological variability, retention with kidney disease, preanalytical issues, and interassay variability. These important issues must be considered when developing and evaluating bone biomarkers. There is an urgent need for harmonization and standardization of available assays and additional bone biopsy studies.

Indexed as

Bone RemodelingAdaptor Proteins, Signal TransducingAlkaline PhosphataseBiomarkersHumansIntracellular Signaling Peptides and ProteinsOsteocalcinParathyroid HormonePeptide FragmentsProcollagenProteinsRenal Insufficiency, ChronicAdaptor Proteins, Signal TransducingAlkaline PhosphataseBiomarkersIntracellular Signaling Peptides and ProteinsOsteocalcinParathyroid HormonePeptide FragmentsProcollagenprocollagen Type I N-terminal peptideProteinsSOSTDC1 protein, humanBone biomarkersBone formationBone histomorphometryBone resorptionBone turnoverChronic kidney diseaseDiagnostic performanceNon-invasive diagnosisRenal osteodystrophy

Identifiers

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.