Evidence map›Paper›PMID 41680577›Full record

ReviewReproductive sciences (Thousand Oaks, Calif.)2026

Sperm Testing in Assisted Reproductive Technology: Diagnosis and Outcome Prediction.

Kaixian Yan, Ran Kong, Defeng Liu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Reproductive sciences (Thousand Oaks, Calif.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Kaixian YanInstitute of Medical Technology, Peking University Health Science Center, Beijing, 100191, China. 2111110685@bjmu.edu.cn.ORCID 0000-0003-4299-2792
Ran KongBiomedical Engineering Department, Institute of Advanced Clinical Medicine, International Cancer Institute, Peking University, Beijing, 100191, China.
Defeng LiuCenter for Reproductive Medicine, Peking University Third Hospital, Beijing, 100191, China. liudefeng@bjmu.edu.cn.

Funding

National Key Research and Development Program of China 2022YFC2406300
6 · The paper itself

Abstract

Infertility is a major global reproductive health challenge with significant social consequences, affecting an estimated 1 in 6 couples worldwide. Declining sperm quality represents a key contributing factor, making sperm analysis essential for diagnosing male infertility. Beyond conventional semen analysis, advanced assessments such as sperm DNA fragmentation testing and acrosome function evaluation have become standard diagnostic tools. Meanwhile, new technologies-such as 3D sperm imaging, high-precision microscopy, and genetic sequencing-are transforming sperm evaluation by analyzing movement, structure, function, and genetics in detail. These technological advancements enable two synergistic clinical improvements: (1) Deeper mechanistic understanding of sperm physiology via behavioral observation and molecular characterization, and (2) Enhanced sperm selection for assisted reproductive technologies (ART) through precision screening. The integration of interdisciplinary approaches-combining andrology, bioengineering, and computational biology-promises to accelerate the translation of novel sperm analysis platforms into clinical practice. This paradigm shift ultimately aims to elevate ART success rates while establishing evidence-based diagnostic frameworks for male infertility management.

Indexed as

Infertility, MaleReproductive Techniques, AssistedSemen AnalysisSpermatozoaHumansMalePredictive Value of TestsTreatment OutcomeAssisted reproductive technologyFunction testsGenetics analysisSemen routine testsSperm selection techniques

Identifiers

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.