Evidence map›Paper›PMID 31848394›Full record

ArticleScientific reports2019

Ambulatory blood pressure monitoring-based analysis of long-term outcomes for kidney disease progression.

Tomoharu Ida, Tetsuro Kusaba, Hiroshi Kado, Takuya Taniguchi, Tsuguru Hatta, Satoaki Matoba, Keiichi Tamagaki

Registry-linked trialAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05189418 (Sleep-time Blood Pressure Determined by Home and Ambulatory Monitoring as Potential Prognostic Factor for Chronic Kidney Disease), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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.

NCT05189418 completednot on this mapstarted 2022, after this paper: background citation

Sleep-time Blood Pressure Determined by Home and Ambulatory Monitoring as Potential Prognostic Factor for Chronic Kidney Disease (CKD) Progression, Mortality, and Cardiovascular Morbidity in Patients With Advanced CKD

Typeobservational_patient_registrySponsorUniversity of VigoRan2022 to 2024Enrolled210ConditionsChronic Kidney DiseasesArmsAmbulatory blood pressure monitoring (ABPM), Home blood pressure monitoring (HBPM)
3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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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

7 authors.

Tomoharu IdaDepartment of Nephrology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Tetsuro KusabaDepartment of Nephrology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan. kusaba@koto.kpu-m.ac.jp.
Hiroshi KadoDepartment of Nephrology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Takuya TaniguchiDepartment of Cardiovascular Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Tsuguru HattaDepartment of Nephrology, Omihachiman Community Medical Center, Shiga, Japan.
Satoaki MatobaDepartment of Cardiovascular Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Keiichi TamagakiDepartment of Nephrology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.ORCID http://orcid.org/0000-0001-8589-5218

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-dipping nocturnal blood pressure (BP) pattern is a predictor of the future decline of renal function; however, it is unclear whether it is still a risk for chronic kidney disease (CKD) patients with normal BP. To solve this question, a retrospective cohort study was conducted, and 1107 CKD patients who underwent ambulatory blood pressure monitoring (ABPM) were enrolled. We divided patients into 4 groups based on their nocturnal BP dipping pattern (dipper or non-dipper) and average 24-hour BP (hypertension or normotension). The cumulative incidence of composite renal outcomes, including a 40% reduction in eGFR, the induction of renal-replacement therapy, or death from renal causes, was analyzed. Overall, 86.1% of participants were non-dippers and 48.2% of them were normotensive. During the median follow-up period of 4.72 years, the incidence of renal composite outcomes was highest in hypertensive non-dipper patients, and was similar between normotensive dipper and non-dipper patients. Multivariate regression analysis revealed that the 24-hour systolic BP, amount of urinary protein, and hemoglobin values were associated with the incidence of renal outcomes. In conclusion, our ABPM-based analysis revealed that a non-dipping BP pattern with normotension does not predict the future incidence of composite renal outcomes in CKD patients.

Indexed as

AgedBlood PressureBlood Pressure DeterminationBlood Pressure Monitoring, AmbulatoryCircadian RhythmDisease ProgressionFemaleGlomerular Filtration RateHumansHypertensionKidneyMaleMiddle AgedRenal Insufficiency, ChronicRisk FactorsTime Factors

Identifiers

PMID31848394
PMCPMC6917780

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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.