Evidence map›Paper›PMID 31058049›Full record

ReviewJournal of reproduction & infertility

Metabolomics of Male Infertility: A New Tool for Diagnostic Tests.

Bahareh Mehrparavar, Arash Minai-Tehrani, Babak Arjmand, Kambiz Gilany

Abstract readReview
In one paragraph

Review in Journal of reproduction & infertility. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Low-polarity untargeted metabolomic profiling as a tool to gain insight into seminal fluid.Metabolomics : Official journal of the Metabolomic Society · 2023
    Article
  9. Towards a Multi-Omics of Male Infertility.The world journal of men's health · 2023
    Review
  10. Article
  11. Article
  12. Article
  13. Metabolomics Signatures of SARS-CoV-2 Infection.Advances in experimental medicine and biology · 2022
    Review
  14. Article
  15. The Fingerprints of Biomedical Science in Internal Medicine.Advances in experimental medicine and biology · 2022
    Article
  16. Article
  17. Review
  18. Article
  19. 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.

Bahareh MehrparavarReproductive Biotechnology Research Center, Avicenna Research Institute, ACECR, Tehran, Iran.
Arash Minai-TehraniNanobiotechnology Research Center, Avicenna Research Institute, ACECR, Tehran, Iran.
Babak ArjmandCell Therapy and Regenerative Medicine Research Center, Endocrinology and Metabolism Molecular Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Kambiz GilanyReproductive Biotechnology Research Center, Avicenna Research Institute, ACECR, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infertility is a major health issue worldwide. Males and females contribute equally to this problem. Diagnostic semen analysis fails to identify 50% of male infertility disorders. In this regard, metabolomics as a new field of omics has been suggested to have the potential of solving and diagnosis of the male infertility problems. Metabo-lome has a history of around 20 years. However, there are only limited metabolomics studies carried out regarding male infertility. In this review, the current metabolomics researches that have been done in infertile men were reviewed. Based on our own results, using human seminal plasma for metabolomics studies is highly recommended to find potential biomarkers and developing diagnosis tests for detection of main deficiencies in infertile men.

Indexed as

BiomarkersHuman seminal plasmaMale infertilityMetabolomics

Identifiers

PMID31058049
PMCPMC6486563

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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.