Evidence map›Paper›PMID 39085741›Full record

ArticleJournal of assisted reproduction and genetics2024

Mitigating multiples, less is more: examining trends in multifetal gestation rates with assisted reproductive technology.

Hanna Kim, Andrew J Claffey, Kevin J Doody, Kathleen M Doody

Abstract read
In one paragraph

Article in Journal of assisted reproduction and genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Hanna Kim *Cleveland Clinic Foundation OB/GYN and Women's Health Institute, Reproductive Endocrinology and Infertility, Cleveland, OH, USA.
Andrew J Claffey *Southwestern, Obstetrics and Gynecology, University of Texas, Dallas, TX, USA. andrewjclaffey@gmail.com.
Kevin J DoodySouthwestern, Obstetrics and Gynecology, University of Texas, Dallas, TX, USA.
Kathleen M DoodySouthwestern, Obstetrics and Gynecology, University of Texas, Dallas, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMultifetal gestation (MFG) is much more common in pregnancies that utilize assisted reproductive technologies (ART). We assessed how these rates have changed over the previous decade and the impact on live birth rates (LBR).

methodsThis retrospective cohort study uses the National Summary Reports of the Society for Assisted Reproductive Technology (SART) from 2014 to 2020. Data points included only autologous cycles. The data were divided into five age groups as reported in the database: < 35, 35-37, 38-40, 41-42, and > 42 years old. Descriptive statistics and a two-tailed T-test were used to determine the trends and statistical significance (p < 0.05).

resultsRates of twin births decreased substantially from 2014 to 2020 for autologous embryo transfers across all age groups and diagnoses. Surprisingly, the overall LBR for autologous IVF cycles decreased at similar rates from 2014 to 2020 in all age groups. The mean number of embryos transferred has dramatically reduced, especially across age groups < 42.

conclusionRates of twin and higher-level gestations have decreased substantially over the past decade; the effect correlates with the increased utilization of eSET and PGT. The cause of infertility did not significantly impact the rate of MFG.

Indexed as

Embryo TransferFertilization in VitroPregnancy, MultipleReproductive Techniques, AssistedAdultBirth RateFemaleHumansLive BirthPregnancyPregnancy RatePregnancy, TwinRetrospective StudiesElective single embryo transferIn vitro fertilizationLive birth rateMultiple fetal gestationsTwins

Identifiers

PMID39085741
PMCPMC11405601

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.