Evidence map›Paper›PMID 38421368›Full record

ArticleJournal of biomechanical engineering2024

A Graphical Approach to Visualize and Interpret Biochemically Coupled Biomechanical Models.

Shannon M Flanary, Kara E Peak, Victor H Barocas

Abstract read
In one paragraph

Article in Journal of biomechanical engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Shannon M FlanaryDepartment of Chemical Engineering & Materials Science, University of Minnesota, Nils Hasselmo Hall, Room 7-115, 312 Church St SE, Minneapolis, MN 55455.
Kara E PeakDepartment of Biomedical Engineering, University of Minnesota, Nils Hasselmo Hall, Room 7-115, 312 Church St SE, Minneapolis, MN 55455.
Victor H BarocasDepartment of Biomedical Engineering, University of Minnesota, Nils Hasselmo Hall, Room 7-115, 312 Church St SE, Minneapolis, MN 55455.

Funding

Complementary animal and computational models for biomarker identification in ascending thoracic aortic aneurysmR01HL164800 · NHLBI · WASHINGTON UNIVERSITY · PI VICTOR H BAROCAS, Jessica Wagenseil · 2022 to 2026
$3.2M
NHLBI NIH HHS R01 HL164800NHLBI NIH HHS R01-HL164800
6 · The paper itself

Abstract

The last decade has seen the emergence of progressively more complex mechanobiological models, often coupling biochemical and biomechanical components. The complexity of these models makes interpretation difficult, and although computational tools can solve model equations, there is considerable potential value in a simple method to explore the interplay between different model components. Pump and system performance curves, long utilized in centrifugal pump selection and design, inspire the development of a graphical technique to depict visually the performance of biochemically-coupled mechanical models. Our approach is based on a biochemical performance curve (analogous to the classical pump curve) and a biomechanical performance curve (analogous to the system curve). Upon construction of the two curves, their intersection, or lack thereof, describes the coupled model's equilibrium state(s). One can also observe graphically how an applied perturbation shifts one or both curves, and thus how the other component will respond, without rerunning the full model. While the upfront cost of generating the performance curve graphic varies with the efficiency of the model components, the easily interpretable visual depiction of what would otherwise be nonintuitive model behavior is valuable. Herein, we outline how performance curves can be constructed and interpreted for biochemically-coupled biomechanical models and apply the technique to two independent models in the cardiovascular space. The performance curve approach can illustrate and help identify weaknesses in model construction, inform user-applied perturbations and fitting procedures to generate intended behaviors, and improve the efficiency of the model generation and application process.

Identifiers

PMID38421368
PMCPMC11005857

What OpenQuestion holds

Textmetadata
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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.