Evidence map›Paper›PMID 36589434›Full record

ArticleFrontiers in physiology2022

Mathematical modeling of antihypertensive therapy.

Elena Kutumova, Ilya Kiselev, Ruslan Sharipov, Galina Lifshits, Fedor Kolpakov

Abstract read
In one paragraph

Article in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Modeling the Influence ofPharmaceutics · 2025
    Article
  3. Article
  4. Article
  5. Is the response to antihypertensive drugs heterogeneous? Rationale for personalized approach.European heart journal supplements : journal of the European Society of Cardiology · 2024
    Article
  6. 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

5 authors.

Elena KutumovaDepartment of Computational Biology, Sirius University of Science and Technology, Sochi, Russia.
Ilya KiselevDepartment of Computational Biology, Sirius University of Science and Technology, Sochi, Russia.
Ruslan SharipovDepartment of Computational Biology, Sirius University of Science and Technology, Sochi, Russia.
Galina LifshitsLaboratory for Personalized Medicine, Center of New Medical Technologies, Institute of Chemical Biology and Fundamental Medicine SB RAS, Novosibirsk, Russia.
Fedor KolpakovDepartment of Computational Biology, Sirius University of Science and Technology, Sochi, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertension is a multifactorial disease arising from complex pathophysiological pathways. Individual characteristics of patients result in different responses to various classes of antihypertensive medications. Therefore, evaluating the efficacy of therapy based on

Indexed as

agent-based modular modelantihypertensive therapyblood pressure regulationcardiovascular systemmathematical modelingrenal system

Identifiers

PMID36589434
PMCPMC9795234

What Socratic holds

Textmetadata
LicenceCC BY
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.