Evidence map›Paper›PMID 17485972›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2007

Arterial plasma vasopressin and aldosterone predict left ventricular mass in men who develop hypertension over 20 years.

Arne H Strand, Helga Gudmundsdottir, Eigil Fossum, Ingrid Os, Reidar Bjørnerheim, Sverre E Kjeldsen

Abstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Role of the sympathetic nervous system in hypertension and hypertension-related cardiovascular disease.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2014
    Review
  3. 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

6 authors.

Arne H StrandDepartment of Cardiology, Ullevaal University Hospital, Oslo, Norway. a.h.strand@medisin.uio.no
Helga Gudmundsdottir
Eigil Fossum
Ingrid Os
Reidar Bjørnerheim
Sverre E Kjeldsen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Left ventricular (LV) hypertrophy is related to blood pressure level and neurohormonal factors. The authors previously demonstrated that arterial norepinephrine levels predict LV mass in middle-aged men who developed hypertension through 20 years. The aim of this 20-year prospective study was to investigate arterial vasopressin, aldosterone, and renin as long-term predictors of LV mass. Normotensives (n=17), subjects who developed hypertension (n=17), and sustained hypertensives (n=22) were compared at baseline (42 years) and at follow-up (62 years). There were no significant differences in baseline vasopressin, aldosterone, or renin levels. The group with sustained hypertension had more LV hypertrophy (P=.025) at follow-up. Among new hypertensives, multiple regression analysis demonstrated that baseline arterial vasopressin (beta-0.53; P=.041) and aldosterone (beta-0.56;P=.032) independently explained LV mass index (R(2)=0.85; P=.035). In conclusion, baseline arterial vasopressin and aldosterone, but not renin, appear to predict LV mass in middle-aged men who developed hypertension over a 20-year period.

Indexed as

AdultAldosteroneAnalysis of VarianceAntihypertensive AgentsArteriesBiomarkersBlood PressureCross-Sectional StudiesEchocardiographyFollow-Up StudiesHeart RateHumansHypertensionHypertrophy, Left VentricularMaleMiddle AgedAldosteroneAntihypertensive AgentsBiomarkersReninVasopressins

Identifiers

PMID17485972
PMCPMC8109877

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.