Evidence map›Paper›PMID 25458617›Full record

ReviewFertility and sterility2014

Limitations of semen analysis as a test of male fertility and anticipated needs from newer tests.

Christina Wang, Ronald S Swerdloff

Open access · greenAbstract readReview
In one paragraph

Review in Fertility and sterility, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 169 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
169citing papers in PubMed, 5 pooled it
12.8field-weighted citation impact, top 1% 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

169 citing papers in PubMed, 5 syntheses or guidelines pooled it, 305 citations in OpenAlex.

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109 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Christina WangDivision of Endocrinology, Department of Medicine, Harbor-UCLA Medical Center and Los Angeles Biomedical Research Institute, Torrance, California; UCLA-Clinical and Translational Science Institute, Harbor-UCLA Medical Center and Los Angeles Biomedical Research Institute, Torrance, California. Electronic address: wang@labiomed.org.
Ronald S SwerdloffDivision of Endocrinology, Department of Medicine, Harbor-UCLA Medical Center and Los Angeles Biomedical Research Institute, Torrance, California.
The Lundquist Institute · US

Funding

UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
NCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1TR000124
6 · The paper itself

Abstract

Semen analysis is the first step to identify male factor infertility. Standardized methods of semen analysis are available allowing accurate assessment of sperm quality and comparison among laboratories. Population-based reference ranges are available for standard semen and sperm parameters. Sperm numbers and morphology are associated with time to natural pregnancy, whereas sperm motility may be less predictive. Routine semen analysis does not measure the fertilizing potential of spermatozoa and the complex changes that occur in the female reproductive tract before fertilization. Whether assisted reproduction technology (ART) is required depends not only on male factors but female fecundity. Newer tests should predict the success of fertilization in vitro and the outcome of the progeny.

Indexed as

Semen AnalysisFemaleFertilizationFertilization in VitroHumansInfertility, MaleMalePregnancyReference ValuesReproductive Techniques, AssistedSemenSpecimen HandlingSpermatozoaSperm CountSperm Motilityfemale fecundityreference rangesSperm concentrationsperm morphologysperm motility

Identifiers

PMID25458617
PMCPMC4254491
OpenAlexW1975587192

What OpenQuestion holds

Textmetadata
LicenceTDM
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.