Evidence map›Paper›PMID 24352355›Full record

ArticleJournal of assisted reproduction and genetics2014

The prevalence of sperm with large nuclear vacuoles is a prognostic tool in the prediction of ICSI success.

Amanda Souza Setti, Daniela Paes de Almeida Ferreira Braga, Livia Vingris, Rita de Cassia Savio Figueira, Assumpto Iaconelli, Edson Borges

Open access · bronzeAbstract read
In one paragraph

Article in Journal of assisted reproduction and genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 10 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 2 institutions in 1 country.

Amanda Souza SettiInstituto Sapientiae-Centro de Estudos e Pesquisa em Reprodução Humana Assistida, Rua Vieira Maciel, 62, São Paulo, SP, Brazil, Zip: 04503-040.
Daniela Paes de Almeida Ferreira Braga
Livia Vingris
Rita de Cassia Savio Figueira
Assumpto Iaconelli
Edson Borges
Fertility Medical Group · BRInstituto Sapientia · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate if there is a correlation between the prevalence of sperm with large nuclear vacuoles (LNV) and intracytoplasmic sperm injection (ICSI) outcomes.

methodsTwo hundred male patients undergoing ICSI had their sperm morphology evaluated through motile sperm organelle morphology examination (MSOME) and the percentage of LNV sperm was recorded and correlated to the ICSI outcomes.

resultsThe percentage of sperm with LNV negatively influenced the blastocyst formation (S: 16.9, R(2): 20.5%, p = 0.004) and implantation (S: 34.7, R(2): 26.2%, p = 0.001). There were significant differences in the percentage of sperm with LNV between patients in which pregnancy was achieved or not (22.2% vs. 28.4%, p < 0.001) and in patients with ongoing pregnancy or not (22.4% vs. 28.5%, p < 0.001). The incidence of sperm with LNV was determinant to the decreased odds of pregnancy (OR: 0.74, p < 0.001) and increased odds of miscarriage (OR: 1.46, p < 0.001). The area under the curve (AUC) was sufficient to distinguish between couples which did achieve pregnancy or not (AUC: 0.922, p < 0.001).

conclusionsThe MSOME is a prognostic tool in the prediction of ICSI success and could be used to select patients that should have their sperm selected by MSOME for ICSI.

Indexed as

Semen AnalysisAdultEmbryo ImplantationEmbryonic DevelopmentFemaleHumansMalePregnancySpermatozoaSperm Injections, IntracytoplasmicVacuoles

Identifiers

PMID24352355
PMCPMC3947068
OpenAlexW2011308112

What OpenQuestion holds

Textmetadata
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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.