Evidence map›Paper›PMID 19939246›Full record

ArticleReproductive biology and endocrinology : RB&E2009

Can prematurity risk in twin pregnancies after in vitro fertilization be predicted? A retrospective study.

Andrea Weghofer, Katharina Klein, Maria Stammler-Safar, Christof Worda, David H Barad, Peter Husslein, Norbert Gleicher

Abstract readEvaluation Study
In one paragraph

Article in Reproductive biology and endocrinology : RB&E, 2009. 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. Review
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

7 authors.

Andrea WeghoferDepartment of Obstetrics & Gynecology, Medical University Vienna, Vienna, Austria. andrea.weghofer@meduniwien.ac.at
Katharina Klein
Maria Stammler-Safar
Christof Worda
David H Barad
Peter Husslein
Norbert Gleicher

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAssisted reproduction (ART) contributes to world-wide increases of twin pregnancies, in turn raising prematurity risks. Whether characteristics of ART cycles, resulting in twin gestations, can predict prematurity risks was the subject of this study.

methodsOne-hundred-and-six women, ages 20 to 39 years, with consecutive dichorionic-diamniotic (DC/DA) twin gestations were retrospectively investigated. All pregnancies investigated followed fresh ART cycles, with use of autologous gamets, and were delivered at a university-based high-risk, maternal-fetal medicine unit. Only premature deliveries (i.e., <37.0 weeks gestational age), with viable neonate(s) of > or = 500 grams, were considered for analysis.

resultsAfter 1.8 +/- 1.2 ART cycles, 11.0 +/- 5.4 oocytes were retrieved and 2.4 +/- 0.9 embryos transferred in 106 women aged 31.6 +/- 4.2 years. Indications for ART treatment were male factor in 51.9%, female infertility in 27.4% and combined infertility in 20.8%. Though maternal age significantly influenced prematurity risk (p < 0.05), paternal age, maternal body mass index, indications for fertility treatment, number of previous ART attempts, oocytes retrieved or embryos transferred, as well as stimulation protocols and previous ART pregnancies, were not associated with gestational duration in twin pregnancies. SUMMARY: Except for female age, baseline and ART cycle characteristics do not allow for prediction of prematurity risk in dichorionic twin gestations after assisted reproduction.

Indexed as

Fertilization in VitroInfant, PrematurePregnancy, MultipleTwinsAdultFemaleHumansInfant, NewbornMaleMaternal AgePregnancyPremature BirthPrognosisRetrospective StudiesRisk FactorsYoung Adult

Identifiers

PMID19939246
PMCPMC2789085

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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.