Evidence map›Paper›PMID 28438852›Full record

ReviewIn vivo (Athens, Greece)

The Use of Proteomics in Assisted Reproduction.

Ioanna Kosteria, Athanasios K Anagnostopoulos, Christina Kanaka-Gantenbein, George P Chrousos, George T Tsangaris

Abstract readReview
In one paragraph

Review in In vivo (Athens, Greece). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
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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.

Ioanna KosteriaDivision of Endocrinology, Diabetes and Metabolism, First Department of Pediatrics, University of Athens, Aghia Sophia Children's Hospital, Athens, Greece.
Athanasios K AnagnostopoulosProteomics Research Unit, Biomedical Research Foundation of the Academy of Athens, Athens, Greece atanagnost@bioacademy.gr gthtsangaris@bioacademy.gr.
Christina Kanaka-GantenbeinDivision of Endocrinology, Diabetes and Metabolism, First Department of Pediatrics, University of Athens, Aghia Sophia Children's Hospital, Athens, Greece.
George P ChrousosDivision of Endocrinology, Diabetes and Metabolism, First Department of Pediatrics, University of Athens, Aghia Sophia Children's Hospital, Athens, Greece.
George T TsangarisProteomics Research Unit, Biomedical Research Foundation of the Academy of Athens, Athens, Greece atanagnost@bioacademy.gr gthtsangaris@bioacademy.gr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the explosive increase in the use of Assisted Reproductive Technologies (ART) over the last 30 years, their success rates remain suboptimal. Proteomics is a rapidly-evolving technology-driven science that has already been widely applied in the exploration of human reproduction and fertility, providing useful insights into its physiology and leading to the identification of numerous proteins that may be potential biomarkers and/or treatment targets of a successful ART pregnancy. Here we present a brief overview of the techniques used in proteomic analyses and attempt a comprehensive presentation of recent data from mass spectrometry-based proteomic studies in humans, regarding all components of ARTs, including the male and female gamete, the derived zygote and embryo, the endometrium and, finally, the ART offspring both pre- and postnatally.

Indexed as

AnimalsBiomarkersHumansProteomeProteomicsReproductionReproductive Techniques, AssistedBiomarkersProteomeassisted reproductionembryoepigeneticsfertilityICSIIVFoffspring healthoocyteProteomicsreviewsperm

Identifiers

PMID28438852
PMCPMC5461434

What OpenQuestion holds

Textmetadata
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.