Evidence map›Paper›PMID 38063417›Full record

ArticleDiabetes & vascular disease research

Predictive power of isolated high home systolic blood pressure for cardiovascular outcomes in individuals with type 2 diabetes mellitus: KAMOGAWA-HBP study.

Yukako Hosomi, Emi Ushigome, Nobuko Kitagawa, Noriyuki Kitagawa, Toru Tanaka, Goji Hasegawa, Masayoshi Ohnishi, Sei Tsunoda, Hidetaka Ushigome, Naoto Nakamura and 4 more

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetes & vascular disease research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 19% of its field
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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

14 authors at 4 institutions in 1 country.

Yukako HosomiDepartment of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan.
Emi UshigomeDepartment of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan.ORCID 0000-0003-1031-4380
Nobuko KitagawaDepartment of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan.ORCID 0000-0001-6624-0101
Noriyuki KitagawaDepartment of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan.ORCID 0000-0003-3263-9469
Toru TanakaDepartment of Endocrinology and Metabolism, Kyoto First Red Cross Hospital, Kyoto, Japan.
Goji HasegawaDepartment of Endocrinology and Metabolism, Kyoto Second Red Cross Hospital, Kyoto, Japan.
Masayoshi OhnishiDepartment of Endocrinology and Metabolism, Osaka General Hospital of West Japan Railway Company, Osaka, Japan.
Sei TsunodaDepartment of Cardiology, Nishijin Hospital, Kyoto, Japan.
Hidetaka UshigomeDepartment of Organ Transplantation and General Surgery, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan.
Naoto NakamuraDepartment of Endocrinology and Metabolism, Saiseikai Kyoto Hospital, Kyoto, Japan.
Mai AsanoDepartment of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan.
Masahide HamaguchiDepartment of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan.
Masahiro YamazakiDepartment of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan.
Michiaki FukuiDepartment of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan.
Kyoto Prefectural University of Medicine · JPKyoto first Red Cross hospital · JPKyoto City Hospital · JPNishijin Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AIMS/

introductionIsolated high home systolic blood pressure (IHHSBP) is a risk for cardiovascular disease (CVD). However, no study has shown an association between IHHSBP and CVD in diabetes. We examined the association between IHHSBP and CVD in type 2 diabetes. MATERIALS AND

methodsThis retrospective cohort study included 1082 individuals with type 2 diabetes, aged 20 to 90 years, without a history of macrovascular complications. Home blood pressure (HBP) was measured three times every morning and evening for 14 days. Cox proportional hazards models were used to examine the relationship between IHHSBP and CVD incidence.

resultsWith the normal HBP group as the reference, the adjusted hazard ratio (HR) (95% confidence interval [CI]) for CVD was 1.58 (1.02-2.43) in the IHHSBP group. Correcting for antihypertensive medication use did not change HR. Based on sex, the adjusted HR (95% CI) for CVD was 1.25 (0.74-2.13) in males and 2.28 (1.01-5.15) in females.

conclusionsIn individuals with type 2 diabetes, those with IHHSBP had a higher HR for cardiovascular disease than those with normal HBP. But, Isolated high home diastolic blood pressure and high HBP were not. The association between IHHSBP and CVD was stronger in females than in males.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2HypertensionBlood PressureBlood Pressure Monitoring, AmbulatoryFemaleHumansMaleRetrospective StudiesCardiovascular diseasesdiabetes mellitushome blood pressure measurementisolated high home systolic blood pressureKAMOGAWA-HBP studymulticenter studytype 2

Identifiers

PMID38063417
PMCPMC10710111
OpenAlexW4389491717

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.