Evidence map›Paper›PMID 27980786›Full record

ReviewBasic and clinical andrology2016

Sperm DNA damage and its role in IVF and ICSI.

Phil Vu Bach, Peter N Schlegel

Abstract readReview
In one paragraph

Review in Basic and clinical andrology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
–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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. ISAR Consensus Guidelines on Add-Ons Treatment inJournal of human reproductive sciences · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Relationship between sperm morphology and sperm DNA dispersion.Translational andrology and urology · 2020
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Testing of sperm DNA damage and clinical recommendations.Translational andrology and urology · 2017
    Article
  18. Article
  19. Article
  20. 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

2 authors.

Phil Vu BachDepartment of Urology, Weill Cornell Medicine, 525 East 68th Street, Starr 900, New York, NY 10065 USA.
Peter N SchlegelDepartment of Urology, Weill Cornell Medicine, 525 East 68th Street, Starr 900, New York, NY 10065 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While the semen analysis has traditionally been relied upon to differentiate fertile and infertile men, its utility has been questioned in the current era of assisted reproductive technologies. The desire for more sophisticated diagnostic and predictive tools has led to increased use of sperm DNA damage in the management of male infertility. Despite the availability of numerous assays to measure sperm DNA damage, our understanding of the etiology, measurement, and clinical implications of sperm DNA damage remains incomplete. While the current evidence is fraught with heterogeneity that complicates attempts at comparison and meta-analysis, there does appear to be a role for sperm DNA damage in the development and maintenance of pregnancy in the era of in vitro fertilization (IVF) and intracytoplasmic sperm injection (ICSI). However, as noted by the American Society for Reproductive Medicine, the routine and widespread use of sperm DNA damage testing is not yet supported. Further studies are needed to standardize the measurement of sperm DNA damage and to clarify the exact role of sperm DNA damage within the myriad of other male and female factors contributing to reproductive outcomes in IVF and ICSI.

Indexed as

CometDNA fragmentationHaloICSIIVFSCDSCSASpermTUNEL

Identifiers

PMID27980786
PMCPMC5137216

What OpenQuestion holds

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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.