Evidence map›Paper›PMID 28292614›Full record

ArticleFertility and sterility2017

Embryo transfer simulation improves pregnancy rates and decreases time to proficiency in Reproductive Endocrinology and Infertility fellow embryo transfers.

Ryan J Heitmann, Micah J Hill, John M Csokmay, Justin Pilgrim, Alan H DeCherney, Shad Deering

Open access · bronzeAbstract read
In one paragraph

Article in Fertility and sterility, 2017. 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
4.5field-weighted citation impact, top 7% 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

5 citing papers in PubMed, 23 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

6 authors at 3 institutions in 1 country.

Ryan J HeitmannProgram in Reproductive and Adult Endocrinology, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland; Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Walter Reed National Military Medical Center, Bethesda, Maryland; Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Madigan Army Medical Center, Tacoma, Washington. Electronic address: Ryan.J.Heitmann.mil@mail.mil.
Micah J HillProgram in Reproductive and Adult Endocrinology, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland; Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Walter Reed National Military Medical Center, Bethesda, Maryland.
John M CsokmayDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Walter Reed National Military Medical Center, Bethesda, Maryland.
Justin PilgrimProgram in Reproductive and Adult Endocrinology, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland; Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Walter Reed National Military Medical Center, Bethesda, Maryland.
Alan H DeCherneyProgram in Reproductive and Adult Endocrinology, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland.
Shad DeeringDepartment of Obstetrics and Gynecology, Uniformed University of the Health Sciences, Bethesda, Maryland.
National Institutes of Health · USUniformed Services University of the Health Sciences · USWalter Reed National Military Medical Center · US

Funding

Reproductive Endocrinology And Infertility Clinical Training ProgramZIEHD008737 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI HILL, MICAH · 2011 to 2025
$24.0M
Intramural NIH HHS Z99 HD999999
6 · The paper itself

Abstract

objectiveTo design and evaluate an ET simulator to train Reproductive Endocrinology and Infertility (REI) fellows' techniques of ET.

designSimulation model development and retrospective cohort analysis.

settingNot applicable. PATIENT(S): Patients undergoing IVF. INTERVENTION(S): Simulation model evaluation and implementation of ET simulation training. MAIN OUTCOME MEASURE(S): Pregnancy rates. RESULT(S): The REI fellow and faculty evaluation responses (n = 19/21 [90%]) of the model demonstrated realistic characteristics, with evaluators concluding the model was suitable for training in almost all evaluated areas. A total of 12 REI fellows who performed ET were analyzed: 6 before ET trainer and 6 after ET trainer. Pregnancy rates were 31% in the initial 10 ETs per fellow before simulator vs. 46% after simulator. One of six pre-ET trainer fellows (17%) had pregnancy rates ≥40% in their first 10 ETs; whereas four of six post-ET trainer fellows had pregnancy rates ≥40% in their first 10 ETs. The average number of ETs to obtain >40% pregnancy efficiency was 27 ETs before trainer vs. 15 ETs after trainer. Pregnancy rates were similar in the two groups after 20 ETs, and collective terminal pregnancy rates were >50% after 40 ETs. CONCLUSION(S): Embryo transfer simulation improved REI fellow pregnancy rates in their first 10 transfers and led to a more rapid ET proficiency. These data suggest potential value in adopting ET simulation, even in programs with a robust history of live ET in fellowship training.

Indexed as

Pregnancy RateAdolescentAdultClinical CompetenceEducational MeasurementEmbryo TransferEndocrinologyFemaleHigh Fidelity Simulation TrainingHumansInfertility, FemalePregnancyReproductive MedicineTreatment OutcomeYoung AdultEmbryo transferfellowship educationmedical simulation trainingmodel developmentpregnancy rates

Identifiers

PMID28292614
PMCPMC6555143
OpenAlexW2593221158

What OpenQuestion holds

Textmetadata
LicenceTDM
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.