Evidence map›Paper›PMID 20037599›Full record

ArticleAsian journal of andrology2010

Scoring of sperm chromosomal abnormalities by manual and automated approaches: qualitative and quantitative comparisons.

Helen G Tempest, Siu Yan Cheng, David J Gillott, Alan H Handyside, Alan R Thornhill, Darren K Griffin

Abstract read
In one paragraph

Article in Asian journal of andrology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Male infertility: establishing sperm aneuploidy thresholds in the laboratory.Journal of assisted reproduction and genetics · 2019
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Semi-automated scoring of triple-probe FISH in human sperm: methods and further validation.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2011
    Article
  7. 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

6 authors.

Helen G TempestGynaecology and Genetics Centre, London, UK.
Siu Yan Cheng
David J Gillott
Alan H Handyside
Alan R Thornhill
Darren K Griffin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is now well known that levels of sperm disomy correlate to levels of infertility (as well as other factors). The risk of perpetuating aneuploidy to the offspring of infertile males undergoing intracytoplasmic sperm injection (ICSI) has become a hotly debated issue in assisted reproduction; however, there remain barriers to the practical implementation of offering sperm disomy screening in a clinical setting. The major barrier is the operator time taken to analyze a statistically meaningful (sufficient) number of cells. The introduction of automated 'spot counting' software-hardware combinations presents a potential solution to this problem. In this preliminary validation study, we analyzed 10 patients, both manually and using a commercially available spot counter. Results show a statistically significant correlation between both approaches for scoring of sperm disomy, but no correlation is found when scoring for diploid sperm. The most likely explanation for the latter is an apparent overscoring of two closely associated sperm heads as a single diploid cell. These results, and similar further studies that will ensue, help to inform cost-benefit analyses that individual clinics need to carry out in order to decide whether to adopt sperm aneuploidy screening as a routine tool for the assessment of sperm from men requiring ICSI treatment.

Indexed as

Chromosome AberrationsAutomationHumansIn Situ Hybridization, FluorescenceMaleReproducibility of ResultsSpermatozoa

Identifiers

PMID20037599
PMCPMC3739098

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.