Evidence map›Paper›PMID 30875261›Full record

ArticleAmerican journal of physiology. Heart and circulatory physiology2019

Understanding sex differences in long-term blood pressure regulation: insights from experimental studies and computational modeling.

Sameed Ahmed, Rui Hu, Jessica Leete, Anita T Layton

Open access · bronzeAbstract read
In one paragraph

Article in American journal of physiology. Heart and circulatory physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
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  3. HMGB1 drives T-cell activation in hypertensive males and females.American journal of physiology. Renal physiology · 2025
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  20. Sex-specific computational models for blood pressure regulation in the rat.American journal of physiology. Renal physiology · 2020
    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

4 authors at 2 institutions in 2 countries.

Sameed AhmedDepartment of Applied Mathematics, University of Waterloo , Waterloo, Ontario , Canada.
Rui HuDepartment of Applied Mathematics, University of Waterloo , Waterloo, Ontario , Canada.
Jessica LeeteComputational Biology and Bioinformatics Program, Duke University , Durham, North Carolina.
Anita T LaytonDepartment of Applied Mathematics, University of Waterloo , Waterloo, Ontario , Canada.
University of Waterloo · CADuke University · US

Funding

Computational Biology and Bioinformatics Training ProgramT32GM071340 · NIGMS · DUKE UNIVERSITY · PI MAGWENE, PAUL MITAARI · 2005 to 2020
$3.3M
NIGMS NIH HHS T32 GM071340
6 · The paper itself

Abstract

Sex differences in blood pressure and the prevalence of hypertension are found in humans and animal models. Moreover, there has been a recent explosion of data concerning sex differences in nitric oxide, the renin-angiotensin-aldosterone system, inflammation, and kidney function. These data have the potential to reveal the mechanisms underlying male-female differences in blood pressure control. To elucidate the interactions among the multitude of physiological processes involved, one may apply computational models. In this review, we describe published computational models that represent key players in blood pressure regulation, and highlight sex-specific models and their findings.

Indexed as

Blood PressureModels, CardiovascularAnimalsCardiovascular SystemFemaleHomeostasisHumansHypertensionInflammation MediatorsKidneyMaleModels, AnimalNitric OxideRenin-Angiotensin SystemSex FactorsSignal TransductionInflammation MediatorsNitric Oxidekidneymathematical modelingrenin-angiotensin system

Identifiers

PMID30875261
PMCPMC6580385
OpenAlexW2921134032

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.