ArticleJBMR plus2020
A microRNA Approach to Discriminate Cortical Low Bone Turnover in Renal Osteodystrophy.
Article in JBMR plus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05880914 (Precision Medicine Approaches to Renal Osteodystrophy), which is not on this map. Cited by 11 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.
Precision Medicine Approaches to Renal Osteodystrophy
Who cites it
11 citing papers in PubMed, 17 citations in OpenAlex.
- Irisin fails to rescue bone loss in a rat model of chronic kidney disease - mineral bone disorder (CKD-MBD) but interacts with parathyroid hormone (PTH)Bone reports · 2026Article
- Bone turnover markers in the management of CKD-associated osteoporosis-a European consensus.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2026Review
- Advances in noninvasive diagnosis of renal osteodystrophy.Renal failure · 2025Review
- Time-lapse HR-pQCT reliably assesses and monitors local bone turnover in patients with chronic kidney disease.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2025Article
- MicroRNAs as Potential Graft Rejection or Tolerance Biomarkers and Their Dilemma in Clinical Routines Behaving like Devilish, Angelic, or Frightening Elements.Biomedicines · 2024Review
- Obesity and Bone Mineral Density Protection Paradox in Chronic Kidney Disease: Secreted Protein Acidic and Rich in Cysteine as a Piece of the Puzzle?Life (Basel, Switzerland) · 2023Article
- Bone Turnover Markers: Basic Biology to Clinical Applications.Endocrine reviews · 2023Article
- MicroRNAs: emerging biomarkers and therapeutic targets of bone fragility in chronic kidney disease.Clinical kidney journal · 2023Review
- Circulating and extracellular vesicle-derived microRNAs as biomarkers in bone-related diseases.Frontiers in endocrinology · 2023Review
- Bone Fragility Fractures in CKD Patients.Calcified tissue international · 2021Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 8 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A main obstacle to diagnose and manage renal osteodystrophy (ROD) is the identification of intracortical bone turnover type (low, normal, high). The gold standard, tetracycline-labeled transiliac crest bone biopsy, is impractical to obtain in most patients. The Kidney Disease Improving Global Outcomes Guidelines recommend PTH and bone-specific alkaline phosphatase (BSAP) for the diagnosis of turnover type. However, PTH and BSAP have insufficient diagnostic accuracy to differentiate low from non-low turnover and were validated for trabecular turnover. We hypothesized that four circulating microRNAs (miRNAs) that regulate osteoblast (miRNA-30b, 30c, 125b) and osteoclast development (miRNA-155) would provide superior discrimination of low from non-low turnover than biomarkers in clinical use. In 23 patients with CKD 3-5D, we obtained tetracycline-labeled transiliac crest bone biopsy and measured circulating levels of intact PTH, BSAP, and miRNA-30b, 30c, 125b, and 155. Spearman correlations assessed relationships between miRNAs and histomorphometry and PTH and BSAP. Diagnostic test characteristics for discriminating low from non-low intracortical turnover were determined by receiver operator curve analysis; areas under the curve (AUC) were compared by χ
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.