Evidence map›Paper›PMID 38846104›Full record

ArticleClinical kidney journal2024

Pulse pressure modifies the association between diastolic blood pressure and decrease in kidney function: the Japan Specific Health Checkups Study.

Hiroyuki Tamaki, Masahiro Eriguchi, Hisako Yoshida, Takayuki Uemura, Hikari Tasaki, Masatoshi Nishimoto, Takaaki Kosugi, Ken-Ichi Samejima, Kunitoshi Iseki, Shouichi Fujimoto and 10 more

Abstract read
In one paragraph

Article in Clinical kidney journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

20 authors.

Hiroyuki TamakiDepartment of Nephrology, Nara Medical University, Kashihara, Nara, Japan.
Masahiro EriguchiDepartment of Nephrology, Nara Medical University, Kashihara, Nara, Japan.ORCID https://orcid.org/0000-0001-8422-7314
Hisako YoshidaDepartment of Medical Statistics, Osaka Metropolitan University Graduate School of Medicine, Osaka, Osaka, Japan.ORCID https://orcid.org/0000-0002-5999-5773
Takayuki UemuraDepartment of Nephrology, Nara Medical University, Kashihara, Nara, Japan.
Hikari TasakiDepartment of Nephrology, Nara Medical University, Kashihara, Nara, Japan.
Masatoshi NishimotoDepartment of Nephrology, Nara Medical University, Kashihara, Nara, Japan.
Takaaki KosugiDepartment of Nephrology, Nara Medical University, Kashihara, Nara, Japan.
Ken-Ichi SamejimaDepartment of Nephrology, Nara Medical University, Kashihara, Nara, Japan.
Kunitoshi IsekiSteering Committee of The Japan Specific Health Checkups (JSHC) Study, Fukushima, Japan.
Shouichi FujimotoSteering Committee of The Japan Specific Health Checkups (JSHC) Study, Fukushima, Japan.
Tsuneo KontaSteering Committee of The Japan Specific Health Checkups (JSHC) Study, Fukushima, Japan.
Toshiki MoriyamaSteering Committee of The Japan Specific Health Checkups (JSHC) Study, Fukushima, Japan.
Kunihiro YamagataSteering Committee of The Japan Specific Health Checkups (JSHC) Study, Fukushima, Japan.ORCID https://orcid.org/0000-0002-7407-0410
Ichiei NaritaSteering Committee of The Japan Specific Health Checkups (JSHC) Study, Fukushima, Japan.
Masato KasaharaSteering Committee of The Japan Specific Health Checkups (JSHC) Study, Fukushima, Japan.
Yugo ShibagakiSteering Committee of The Japan Specific Health Checkups (JSHC) Study, Fukushima, Japan.
Masahide KondoSteering Committee of The Japan Specific Health Checkups (JSHC) Study, Fukushima, Japan.
Koichi AsahiSteering Committee of The Japan Specific Health Checkups (JSHC) Study, Fukushima, Japan.
Tsuyoshi WatanabeSteering Committee of The Japan Specific Health Checkups (JSHC) Study, Fukushima, Japan.
Kazuhiko TsuruyaDepartment of Nephrology, Nara Medical University, Kashihara, Nara, Japan.ORCID https://orcid.org/0000-0002-8390-2928

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Unlike systolic blood pressure (SBP), the prognostic value of diastolic blood pressure (DBP) in kidney function has not been established. We hypothesized that pulse pressure (PP), which is associated with arteriosclerosis, would affect the prognostic value of DBP. Methods: This longitudinal study used data from the Japan Specific Health Checkups Study was conducted between 2008 and 2014. The participants were stratified into three PP subgroups (low PP ≤39, normal PP 40-59 and high PP ≥60 mmHg). The exposures of interest were SBP and DBP, and the association between SBP/DBP and kidney outcomes (30% decline in the estimated glomerular filtration rate from baseline) was examined in each PP subgroup using a Cox proportional hazards model. Results: Among 725 022 participants, 20 414 (2.8%) developed kidney outcomes during a median follow-up period of 34.6 months. Higher SBP was consistently associated with a higher incidence of kidney outcome in all PP subgroups. Although DBP had a positive linear association with the incidence of kidney outcome in low- and normal-PP subgroups, both lower (≤60 mmHg) and higher (≥101 mmHg) DBP were associated with a higher incidence of kidney outcome in the high-PP subgroup, with a U-shaped curve. Hazard ratios (95% confidence intervals) of ≤60 mmHg (reference: 61-80 mmHg in normal-PP subgroup) and ≥101 mmHg were 1.26 (1.15-1.38) and 1.86 (1.62-2.14), respectively. Conclusions: In this large population-based cohort, DBP was differently associated with kidney outcome by PP level; lower DBP was significantly associated with a higher incidence of kidney outcome in the high-PP subgroup but not in the low- and normal-PP subgroups.

Indexed as

diastolic blood pressurekidney diseasepulse pressuresystolic blood pressure

Identifiers

PMID38846104
PMCPMC11153873

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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.