Evidence map›Paper›PMID 34141030›Full record

ArticleWorld journal of emergency medicine2021

Accuracy of training blood volume quantification using a visual estimation tool.

Janett Kreutziger, Philip Puchner, Stefan Schmid, Wolfgang Mayer, Harald Prossliner, Wolfgang Lederer

Abstract read
In one paragraph

Article in World journal of emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. [Comparative analysis of bleed volume with visual technique].Revista medica del Instituto Mexicano del Seguro Social · 2023
    Observational
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

6 authors.

Janett KreutzigerDepartment of General and Surgical Intensive Care Medicine, Medical University of Innsbruck, Innsbruck 6020, Austria.
Philip PuchnerDepartment of Anesthesiology and Critical Care Medicine, Wels-Grieskirchen Hospital, Wels 4600, Austria.
Stefan SchmidDepartment of General and Surgical Intensive Care Medicine, Medical University of Innsbruck, Innsbruck 6020, Austria.
Wolfgang MayerDepartment of Transfusion Medicine, Medical University of Innsbruck, Innsbruck 6020, Austria.
Harald ProsslinerDepartment of Anaesthesia and Intensive Care Medicine, Medical University of Innsbruck, Innsbruck 6020, Austria.
Wolfgang LedererDepartment of Anaesthesia and Intensive Care Medicine, Medical University of Innsbruck, Innsbruck 6020, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe investigated whether the use of a specially designed visual estimation tool may improve accuracy in quantifying blood volumes related to surface spreading.

methodsA prospective, paired-control, single-blinded experimental study was performed at a medical university. Anesthesiologists and emergency medical personnel estimated various blood volumes on surfaces with varying absorptivity (carpet, towel, polyvinyl chloride, wooden flooring) in an experimental setting. We assessed the sensitivity of training blood volume quantification using a self-designed visual estimation tool by comparing the accuracy of visual blood volume estimations before and after practical training with the tool.

resultsA total of 352 estimations by 44 participants were evaluated. Accurate estimations improved significantly from pre-training to post-training (

conclusionsTraining with a visual estimation tool by professional rescuers can improve the estimation accuracy of blood volumes spread on surfaces with varying absorptivity.

Indexed as

Academic trainingEmergency medicineHemorrhage controlMajor bleeding

Identifiers

PMID34141030
PMCPMC8188276

What OpenQuestion holds

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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.