Evidence map›Paper›PMID 30051059›Full record

ArticleAEM education and training2018

Monitoring Personalized Learning Curves for Emergency Ultrasound With Risk-adjusted Learning-curve Cumulative Summation Method.

Olivier Peyrony, Léa Legay, Ivonne Morra, Anne Verrat, Hélène Milacic, Jessica Franchitti, Jihed Amami, Ariane Gillet, Kouchiar Azarnoush, Arben Elezi and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in AEM education and training, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

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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

15 authors at 3 institutions in 3 countries.

Olivier PeyronyEmergency Department Saint-Louis Hospital Paris France.
Léa LegayEmergency Department Saint-Louis Hospital Paris France.
Ivonne MorraEmergency Department Saint-Louis Hospital Paris France.
Anne VerratEmergency Department Saint-Louis Hospital Paris France.
Hélène MilacicEmergency Department Saint-Louis Hospital Paris France.
Jessica FranchittiEmergency Department Saint-Louis Hospital Paris France.
Jihed AmamiEmergency Department Saint-Louis Hospital Paris France.
Ariane GilletEmergency Department Saint-Louis Hospital Paris France.
Kouchiar AzarnoushEmergency Department Saint-Louis Hospital Paris France.
Arben EleziEmergency Department Saint-Louis Hospital Paris France.
Adélia BragançaEmergency Department Saint-Louis Hospital Paris France.
Pierre TabouletEmergency Department Saint-Louis Hospital Paris France.
Pierre BourrierRadiology Department Saint-Louis Hospital Paris France.
Jean-Paul FontaineEmergency Department Saint-Louis Hospital Paris France.
Matthieu Resche-RigonBiostatistics and Medical Information Department Saint-Louis Hospital Paris France.
Hôpital Saint-Louis · FRSaint Louis University Hospital · USDélégation Paris 7 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUltrasound (US) has been a regular practice in emergency departments for several decades. Thus, train our students to US is of prime interest. Because US image acquisition ability can be very different from a patient to another (depending on image quality), it seems relevant to adapt US learning curves (LCs) to patient image quality using tools based on cumulative summation (CUSUM) as the risk-adjusted LC CUSUM (RLC).

objectivesThe aim of this study was to monitor LC of medical students for the acquisition of abdominal emergency US views and to adapt these curves to patient image quality using RLC.

methodsWe asked medical students to perform abdominal US examinations with the acquisition of 11 views of interest on emergency patients after a learning session. Emergency physicians reviewed the student examinations for validation. LCs were plotted and the student was said proficient for a specific view if his LC reached a predetermined limit fixed by simulation.

resultsSeven students with no previous experience in US were enrolled. They performed 19 to 50 examinations of 11 views each. They achieve proficiency for a median of 9 (6-10) views. Aorta and right pleura views were validated by seven students; inferior vena cava, right kidney, and bladder by six; gallbladder and left kidney by five; portal veins and portal hilum by four; and subxyphoid and left pleura by three. The number of US examinations required to reach proficiency ranged from five to 41 depending on the student and on the type of view. LC showed that students reached proficiency with different learning speeds.

conclusionsThis study suggests that, when monitoring LCs for abdominal emergency US, there is some heterogeneity in the learning process depending on the student skills and the type of view. Therefore, rules based on a predetermined number of examinations to reach proficiency are not satisfactory.

Identifiers

PMID30051059
PMCPMC6001586
OpenAlexW2766486828

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.