Evidence map›Paper›PMID 32940808›Full record

ArticleIntensive care medicine experimental2020

Diagnostic characteristics of 11 formulae for calculating corrected flow time as measured by a wearable Doppler patch.

Jon-Émile S Kenny, Igor Barjaktarevic, David C Mackenzie, Andrew M Eibl, Matthew Parrotta, Bradley F Long, Joseph K Eibl

Open access · goldAbstract read
In one paragraph

Article in Intensive care medicine experimental, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

21 citing papers in PubMed, 35 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Evaluation of hemorrhagic shock and fluid resuscitation in pigs using handless Doppler carotid artery ultrasound.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024
    Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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 3 institutions in 2 countries.

Jon-Émile S KennyHealth Sciences North Research Institute, Sudbury, ON, P3E 2H2, Canada. jon-emile@heart-lung.org.ORCID http://orcid.org/0000-0002-3654-1146
Igor BarjaktarevicDivision of Pulmonary and Critical Care, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
David C MackenzieDepartment of Emergency Medicine, Maine Medical Center, Portland, ME, USA.
Andrew M EiblHealth Sciences North Research Institute, Sudbury, ON, P3E 2H2, Canada.
Matthew ParrottaHealth Sciences North Research Institute, Sudbury, ON, P3E 2H2, Canada.
Bradley F LongHealth Sciences North Research Institute, Sudbury, ON, P3E 2H2, Canada.
Joseph K EiblHealth Sciences North Research Institute, Sudbury, ON, P3E 2H2, Canada.
Health Sciences North · CATufts University · USUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChange of the corrected flow time (Ftc) is a surrogate for tracking stroke volume (SV) in the intensive care unit. Multiple Ftc equations have been proposed; many have not had their diagnostic characteristics for detecting SV change reported. Further, little is known about the inherent Ftc variability induced by the respiratory cycle. MATERIALS AND

methodsUsing a wearable Doppler ultrasound patch, we studied the clinical performance of 11 Ftc equations to detect a 10% change in SV measured by non-invasive pulse contour analysis; 26 healthy volunteers performed a standardized cardiac preload modifying maneuver.

resultsOne hundred changes in cardiac preload and 3890 carotid beats were analyzed. Most of the 11 Ftc equations studied had similar diagnostic attributes. Wodeys' and Chambers' formulae had identical results; a 2% change in Ftc detected a 10% change in SV with a sensitivity and specificity of 96% and 93%, respectively. Similarly, a 3% change in Ftc calculated by Bazett's formula displayed a sensitivity and specificity of 91% and 93%. Ftc

conclusionsMost of the 11 different equations used to calculate carotid artery Ftc from a wearable Doppler ultrasound patch had similar thresholds and abilities to detect SV change in healthy volunteers. Variation in Ftc induced by the respiratory cycle is important; measuring a clinically significant change in Ftc with statistical confidence requires a large sample of beats.

Indexed as

Carotid arteryCorrected flow timeFluid responsivenessHemodynamicsStroke volume

Identifiers

PMID32940808
PMCPMC7498524
OpenAlexW3087198499

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.