Evidence map›Paper›PMID 38296348›Full record

ArticlePhysiological reports2024

Evaluation of ventricular-vascular coupling with critical care metrics: An in silico approach.

Lawrence J Mulligan, Justin Ungerleider, Adam Friedman, Benjamin Sanders, Julian Thrash, Daniel Ewert, Ludmil Mitrev, Jeffrey C Hill

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Physiological reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 5 institutions in 1 country.

Lawrence J MulliganDepartment of Anesthesiology, Cooper University Hospital, Camden, New Jersey, USA.ORCID 0000-0002-1868-0150
Justin UngerleiderCooper Medical School of Rowan University, Camden, New Jersey, USA.
Adam FriedmanCooper Medical School of Rowan University, Camden, New Jersey, USA.
Benjamin SandersCooper Medical School of Rowan University, Camden, New Jersey, USA.
Julian ThrashNorth Dakota State University, Fargo, North Dakota, USA.
Daniel EwertUniversity of North Dakota, Grand Forks, North Dakota, USA.
Ludmil MitrevDepartment of Anesthesiology, Cooper University Hospital, Camden, New Jersey, USA.
Jeffrey C HillSchool of Medical Imaging and Therapeutics, Massachusetts College of Pharmacy and Health Sciences University, Worcester, Massachusetts, USA.
Cooper Medical School of Rowan University · USCooper University Hospital · USMassachusetts College of Pharmacy and Health Sciences · USNorth Dakota State University · USUniversity of North Dakota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mean arterial pressure and cardiac output provide insufficient guidance for the management of intraoperative hypotension (IOH). In silico models offer additional insights into acute changes in hemodynamic parameters that may be encountered during IOH. A computational model (CM) generated parameters quantifying ventricular-vascular coupling, and pressure-volume construct across levels of aortic compliance (C

Indexed as

Arterial PressureHypotensionBlood PressureCritical CareHemodynamicsHumansStroke Volumeaortic compliancecardiac outputcomputational modelEadynmechanical efficiencypulse pressurestroke workventricular-vascular coupling

Identifiers

PMID38296348
PMCPMC10830386
OpenAlexW4391872835

What OpenQuestion 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 OpenQuestion graph.