Evidence map›Paper›PMID 42111893›Full record

ReviewClinical kidney journal2026

Nocturnal hypertension in kidney transplant recipients: epidemiology, pathophysiology, prognostic significance, and management.

Areti Georgiou, Marieta Theodorakopoulou, Fotini Iatridi, Pantelis Sarafidis

Abstract readReview
In one paragraph

Review in Clinical kidney journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

4 authors.

Areti GeorgiouFirst Department of Nephrology Aristotle University of Thessaloniki, Hippokration Hospital, Thessaloniki, Greece.
Marieta TheodorakopoulouFirst Department of Nephrology Aristotle University of Thessaloniki, Hippokration Hospital, Thessaloniki, Greece.ORCID https://orcid.org/0000-0001-6216-9635
Fotini IatridiFirst Department of Nephrology Aristotle University of Thessaloniki, Hippokration Hospital, Thessaloniki, Greece.ORCID https://orcid.org/0000-0001-8863-227X
Pantelis SarafidisFirst Department of Nephrology Aristotle University of Thessaloniki, Hippokration Hospital, Thessaloniki, Greece.ORCID https://orcid.org/0000-0002-9174-4018

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kidney transplantation markedly improves survival and quality of life in patients with kidney failure; however, cardiovascular disease remains the leading cause of morbidity and mortality among kidney transplant recipients (KTRs). Hypertension after kidney transplantation is very common and is strongly associated with adverse cardiovascular as well as graft-related outcomes. Notably, hypertension in this population exhibits distinct features, including exceptionally high rates of masked hypertension; this is largely driven by the frequent occurrence of elevated nocturnal blood pressure (BP) and abnormal dipping patterns, which were observed in up to 95% of KTRs. Observational studies consistently demonstrate that higher nocturnal BP and abnormal dipping profiles are linked to accelerated graft function loss, cardiovascular events, and hypertension-mediated target-organ damage, frequently with stronger prognostic value than office or daytime BP measurements. In this review, we summarize the current evidence on circadian BP phenotypes and nocturnal hypertension in KTRs, focusing on epidemiology, underlying mechanisms, prognostic implications for cardiovascular and graft outcomes, and contemporary strategies for diagnosis and management.

Indexed as

ABPMdippinghypertensionkidney transplantationnocturnal hypertension

Identifiers

PMID42111893
PMCPMC13156938

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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.