Evidence map›Paper›PMID 26403606›Full record

ArticleJournal of clinical monitoring and computing2016

A validation study of electrical cardiometry in pregnant patients using transthoracic echocardiography as the reference standard.

Erin Martin, Adanna Anyikam, Jerasimos Ballas, Kristen Buono, Kristin Mantell, Thao Huynh-Covey, Thomas Archer

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Journal of clinical monitoring and computing, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Evaluation of Electrical Cardiometry to Assess Fluid Responsiveness in Patients with Acute Circulatory Failure: A Comparative Study with Transthoracic Echocardiography.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024
    Article
  3. Electrocardiometry for Hemodynamic Categorization and Assessment of Fluid Responsiveness in Pediatric Septic Shock: A Pilot Observational Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2021
    Article
  4. Article
  5. Article
  6. Observational
  7. 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

7 authors at 2 institutions in 1 country.

Erin MartinDepartment of Anesthesiology, University of California, San Diego, 200 W. Arbor Drive, San Diego, CA, 92103, USA. emart005@gmail.com.
Adanna AnyikamDepartment of Anesthesiology, University of California, San Diego, 200 W. Arbor Drive, San Diego, CA, 92103, USA.
Jerasimos BallasDepartment of Anesthesiology, University of California, San Diego, 200 W. Arbor Drive, San Diego, CA, 92103, USA.
Kristen BuonoDepartment of Anesthesiology, University of California, San Diego, 200 W. Arbor Drive, San Diego, CA, 92103, USA.
Kristin MantellDepartment of Anesthesiology, University of California, San Diego, 200 W. Arbor Drive, San Diego, CA, 92103, USA.
Thao Huynh-CoveyDepartment of Anesthesiology, University of California, San Diego, 200 W. Arbor Drive, San Diego, CA, 92103, USA.
Thomas ArcherDepartment of Anesthesiology, University of California, San Diego, 200 W. Arbor Drive, San Diego, CA, 92103, USA.
University of California, San Diego · USBaylor College of Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To validate electrical cardiometry (EC) in pregnant patients using transthoracic echocardiography (TTE) as the reference standard. To improve EC accuracy via a one-time, measurement of left ventricular outflow tract (LVOT) diameter. 44 non-laboring, resting women with singleton, viable pregnancies underwent simultaneous EC and TTE measurements. Data were analyzed using Bland-Altman analysis. Entry multiple regression with stepwise elimination was used to develop a model for improved prediction of stroke volume by TTE (SVTTE) using EC. Bootstrapping and an 11-fold cross validation were used to test the model. Heart rate by TTE and EC had a mean bias of 3.3 beats/min and mean percentage error of 10.7 %. Envelope time and left ventricular ejection time had a mean bias of -4.9 ms and mean percentage error 12.7 %. Stroke volumes by the two techniques had a mean bias of 15.6 mL and mean percentage error of 43.7 %. A model, SVEC_Modified, predicting SVTTE was developed using LVOT area, stroke volume by electrical cardiometry and weight. SVTTE and SVEC_Modified had a mean bias of -0.83 mL and mean percentage error of 22 %. EC accurately measures heart rate and duration of systole when compared with TTE. Stroke volume measurements correlate but have a high bias and percentage error. Knowledge of LVOT area, by a one-time, measurement with TTE, could improve prediction of stroke volume by EC.

Indexed as

AdultAortic Valve StenosisCardiac OutputCross-Sectional StudiesEchocardiographyFemaleHeart RateHeart VentriclesHemodynamicsHumansModels, StatisticalMonitoring, PhysiologicPregnancyProspective StudiesReference StandardsRegression AnalysisCardiac outputElectrical cardiometryImpedance cardiography

Identifiers

PMID26403606
OpenAlexW2098731038

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.