Evidence map›Paper›PMID 38668702›Full record

ArticleAmerican journal of physiology. Heart and circulatory physiology2024

Computational model captures cardiac growth in hypertensive pregnancies and in the postpartum period.

Molly S Kaissar, Kyoko Yoshida

Abstract read
In one paragraph

Article in American journal of physiology. Heart and circulatory physiology, 2024. 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. Review
  2. Article
  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

2 authors.

Molly S KaissarDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota, United States.ORCID 0000-0002-2399-9676
Kyoko YoshidaDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota, United States.ORCID 0000-0002-7251-134X

Funding

Multidisciplinary training in cardiovascular engineeringT32HL139431 · NHLBI · UNIVERSITY OF MINNESOTA · PI BAROCAS, VICTOR H, TRANQUILLO, ROBERT T · 2019 to 2023
$1.2M
American Heart Association (AHA) 23CDA1048434HHS | NIH | National Heart, Lung, and Blood Institute (NHLBI) T32-HL139431NHLBI NIH HHS T32 HL139431
6 · The paper itself

Abstract

Heart growth in the pregnant patient helps maintain cardiovascular function while supporting the growing fetus. However, in some cases, the cardiovascular demand of pregnancy can trigger life-threatening conditions, including hypertensive disorders of pregnancy and peripartum cardiomyopathy. The mechanisms that control heart growth throughout pregnancy are unclear, and treating these diseases remains elusive. We previously developed a computational model that accounts for hormonal and hemodynamic interactions throughout pregnancy and demonstrated its ability to capture realistic cardiac growth in normal rat pregnancy. In this study, we evaluated whether this model could capture heart growth beyond normal pregnancy. After further validation of our normal pregnancy predictions, we tested our model predictions of three rat studies of hypertensive pregnancies. We next simulated the postpartum period and examined the impact of lactation on cardiac growth in rats. We demonstrate that our multiscale model can capture cardiac growth associated with new-onset hypertension during pregnancy and lactation status in the postpartum period. We conclude by elaborating on the potential clinical utility of our model in the future.

Indexed as

HeartHypertension, Pregnancy-InducedModels, CardiovascularPostpartum PeriodAnimalsBlood PressureComputer SimulationDisease Models, AnimalFemaleLactationPregnancyRatsRats, Sprague-Dawleygrowth and remodelinghypertensionlactationmultiscalepregnancy

Identifiers

PMID38668702
PMCPMC11380950

What Socratic 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 Socratic graph.