Evidence map›Paper›PMID 42534417›Full record

ReviewKidney international reports2026

Bone Mineral Density Loss After Kidney Transplantation: Metabolic Determinants, Diagnostic Approaches, and Preventive Strategies.

Clemens Untersulzner, Markus Pirklbauer, Pieter Evenepoel, Heinz Zoller, Andreas Kronbichler

Abstract readReview
In one paragraph

Review in Kidney international reports, 2026. 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.

Clemens UntersulznerDepartment of Internal Medicine IV, Nephrology and Hypertension, Medical University of Innsbruck, Innsbruck, Austria.
Markus PirklbauerDepartment of Internal Medicine IV, Nephrology and Hypertension, Medical University of Innsbruck, Innsbruck, Austria.
Pieter EvenepoelDepartment of Microbiology, Immunology and Transplantation, Nephrology and Renal Transplantation Research Group, Katholieke Universiteit Leuven, Leuven, Belgium.
Heinz ZollerDepartment of Nephrology and Renal Transplantation, University Hospitals Leuven, Leuven, Belgium.
Andreas KronbichlerDepartment of Internal Medicine IV, Nephrology and Hypertension, Medical University of Innsbruck, Innsbruck, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mineral and bone disease (MBD) is a frequent complication after solid organ transplantation. The rapid decline in bone mineral density (BMD) during the first year after kidney transplantation reflects complex interactions between immunosuppressive therapy, metabolic factors and pre-existing chronic kidney disease (CKD)-MBD. This narrative review summarizes the magnitude and time course of BMD loss after kidney transplantation, the underlying metabolic and pharmacologic mechanisms, and associated fracture risk. Diagnostic strategies including dual-energy X-ray absorptiometry (DXA), quantitative computed tomography (QCT), high-resolution peripheral QCT(HR-pQCT), finite element analysis (FEA), and biochemical markers are reviewed alongside preventive and therapeutic approaches. Recent data highlight early deterioration of cortical bone structure, persistent hyperparathyroidism, and the limited predictive value of DXA alone. Integration of advanced imaging and bone-turnover markers as well as markers of mineral metabolism could improve risk stratification. Emerging artificial intelligence-based modeling and HR-pQCT-guided phenotyping may enable individualized prevention strategies in kidney transplant recipients (KTRs).

Indexed as

artificial intelligencebone mineral densityglucocorticoidsimagingimmunosuppressionkidney transplantation

Identifiers

PMID42534417
PMCPMC13420485

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.