Evidence map›Paper›PMID 32601398›Full record

ArticleHypertension research : official journal of the Japanese Society of Hypertension2020

Association between growth hormone and hypertension in a general population.

Hideki Ohshima, Hisashi Adachi, Mika Enomoto, Ako Fukami, Sachiko Nakamura, Yume Nohara, Akiko Sakaue, Nagisa Morikawa, Hitoshi Hamamura, Kenta Toyomasu and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Hypertension research : official journal of the Japanese Society of Hypertension, 2020. 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
0.4field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

12 authors at 1 institution in 1 country.

Hideki OhshimaDivision of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine, Kurume, Japan.
Hisashi AdachiDivision of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine, Kurume, Japan. hadac@med.kurume-u.ac.jp.
Mika EnomotoDivision of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine, Kurume, Japan.
Ako FukamiDivision of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine, Kurume, Japan.
Sachiko NakamuraDivision of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine, Kurume, Japan.
Yume NoharaDivision of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine, Kurume, Japan.
Akiko SakaueDivision of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine, Kurume, Japan.
Nagisa MorikawaDivision of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine, Kurume, Japan.
Hitoshi HamamuraDivision of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine, Kurume, Japan.
Kenta ToyomasuDivision of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine, Kurume, Japan.
Maki YamamotoDivision of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine, Kurume, Japan.
Yoshihiro FukumotoDivision of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine, Kurume, Japan.
Kurume University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insulin-like growth factors are polypeptides, with arrays similar to insulin, and insulin-like growth factor 1 (IGF-1) is secreted via stimulation by growth hormone (GH) in the liver. The lack of both GH and IGF-1 leads to physiological age-related changes in the cardiovascular system; however, the role of IGF-1 and GH in hypertension has not been fully elucidated. Thus, we examined the association between plasma IGF-1 and GH levels and hypertension. Among 1368 health check-up examination participants in the town of Tanushimaru, 1094 subjects were analyzed after excluding subjects with diabetes mellitus or impaired liver function. Multiple linear and logistic regression analyses were performed for factors related to systolic and diastolic blood pressures (BPs). Characteristics of participants stratified by IGF-1 and GH quartiles were compared using analysis of covariance. We calculated odds ratios associated with each standard deviation increase in IGF-1 and GH levels for hypertension, which was defined as BP ≥ 140/90 mmHg and/or the use of antihypertensive medication. Multivariable analysis showed that FPG, insulin, HOMA-IR, eGFR, total cholesterol, triglycerides, and the use of medication for hypertension were associated with the Z-score of IGF-1 measurement quartiles. Next, we found that BMI, systolic and diastolic BPs, insulin, HOMA-IR, total cholesterol, HDL-cholesterol, triglycerides, smoking, and alcohol intake were associated with GH quartiles, indicating that hypertension was inversely associated with GH but not IGF-1. A significant and inverse relationship between serum GH and hypertension was found after adjustment for confounders. In conclusion, decreased GH but not IGF-1, was associated with hypertension in a general population.

Indexed as

AgedCohort StudiesFemaleGrowth HormoneHumansHypertensionInsulin-Like Growth Factor IJapanMaleMiddle AgedRural PopulationGrowth HormoneIGF1 protein, humanInsulin-Like Growth Factor IEpidemiologyGrowth hormoneHypertensionInsulin-like growth factor 1

Identifiers

PMID32601398
OpenAlexW3037761608

What OpenQuestion holds

Textmetadata
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.