Evidence map›Paper›PMID 34031492›Full record

ArticleScientific reports2021

A validated model for predicting live birth after embryo transfer.

Michael S Awadalla, Kristin A Bendikson, Jacqueline R Ho, Lynda K McGinnis, Ali Ahmady

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

5 authors.

Michael S AwadallaDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, LAC+USC Medical Center, 2020 Zonal Avenue, IRD Room 533, Los Angeles, CA, 90033, USA. michael.awadalla@med.usc.edu.ORCID 0000-0001-8910-7434
Kristin A BendiksonDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, LAC+USC Medical Center, 2020 Zonal Avenue, IRD Room 533, Los Angeles, CA, 90033, USA.
Jacqueline R HoDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, LAC+USC Medical Center, 2020 Zonal Avenue, IRD Room 533, Los Angeles, CA, 90033, USA.ORCID 0000-0002-6853-2981
Lynda K McGinnisDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, LAC+USC Medical Center, 2020 Zonal Avenue, IRD Room 533, Los Angeles, CA, 90033, USA.ORCID 0000-0001-7910-9655
Ali AhmadyDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, LAC+USC Medical Center, 2020 Zonal Avenue, IRD Room 533, Los Angeles, CA, 90033, USA.ORCID 0000-0002-6290-9450

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurately predicting the probability of live birth and multiple gestations is important for determining a safe number of embryos to transfer after in vitro fertilization. We developed a model that can be fit to individual clinic data for predicting singleton, twin, and total live birth rates after human embryo transfer. The predicted and observed rates of singleton and twin deliveries were compared in a tenfold cross-validation study using data from a single clinic. The model presented accounts for patient age, embryo stage (cleavage or blastocyst), type of transfer cycle (fresh or frozen) and uterine/universal factors. The standardized errors for rates of singleton and twin deliveries were normally distributed and the mean errors were not significantly different from zero (all p > 0.05). The live birth rates per embryo varied from as high as 43% for fresh blastocysts in the 35-year-old age group to as low as 1% for frozen cleavage stage embryos in the 43-year-old age group. This quantitative model or a simplified version can be used for clinics to generate and analyze their own data to guide the number of embryos to transfer to limit the risk of multiple gestations.

Indexed as

Embryo TransferLive BirthModels, BiologicalBlastocystCleavage Stage, OvumHumansReproducibility of Results

Identifiers

PMID34031492
PMCPMC8144418

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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.