Evidence map›Paper›PMID 34776102›Full record

ReviewAnesthesiology clinics2021

Updates on Simulation in Obstetrical Anesthesiology Through the COVID-19 Pandemic.

Bryan Mahoney, Elizabeth Luebbert

Abstract readReview
In one paragraph

Review in Anesthesiology clinics, 2021. 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
–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

2 citing papers in PubMed.

  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

2 authors.

Bryan MahoneyDepartment of Anesthesiology, Perioperative and Pain Medicine, Mount Sinai Morningside and West Hospitals, 1000 10th Avenue, New York, NY 10019, USA. Electronic address: bryan.mahoney@mountsinai.org.
Elizabeth LuebbertDepartment of Anesthesiology, Perioperative and Pain Medicine, Mount Sinai Morningside and West Hospitals, 1000 10th Avenue, New York, NY 10019, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Simulation has played a critical role in medicine for decades as a pedagogical and assessment tool. The labor and delivery unit provides an ideal setting for the use of simulation technology. Prior reviews of this topic have focused on simulation for individual and team training and assessment. The COVID-19 pandemic has provided an opportunity for educators and leaders in obstetric anesthesiology to rapidly train health care providers and develop new protocols for patient care with simulation. This review surveys new developments in simulation for obstetric anesthesiology with an emphasis on simulation use during the COVID-19 pandemic.

Indexed as

AnesthesiologyCOVID-19ObstetricsSimulation TrainingClinical CompetenceFemaleHumansPandemicsPatient SimulationPregnancySARS-CoV-2Competency assessmentHigh-fidelity simulationMultidisciplinary team trainingObstetrical anesthesiologyPartial task trainersQuality improvement

Identifiers

PMID34776102
PMCPMC8584716

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.