Evidence map›Paper›PMID 33902175›Full record

ArticleAnimal bioscience2021

Semen evaluation: methodological advancements in sperm quality-specific fertility assessment - A review.

Bereket Molla Tanga, Ahmad Yar Qamar, Sanan Raza, Seonggyu Bang, Xun Fang, Kiyoung Yoon, Jongki Cho

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Animal bioscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed, 2 pooled it
11.9field-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

87 citing papers in PubMed, 2 syntheses or guidelines pooled it, 141 citations in OpenAlex.

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27 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

7 authors at 4 institutions in 4 countries.

Bereket Molla TangaCollege of Veterinary Medicine, Chungnam National University, Daejeon 34134, Korea.
Ahmad Yar QamarCollege of Veterinary Medicine, Chungnam National University, Daejeon 34134, Korea.
Sanan RazaDepartment of Clinical Sciences, College of Veterinary and Animal Sciences, Jhang 35200, Sub-campus University of Veterinary and Animal Sciences, Lahore 54000, Pakistan.
Seonggyu BangCollege of Veterinary Medicine, Chungnam National University, Daejeon 34134, Korea.
Xun FangCollege of Veterinary Medicine, Chungnam National University, Daejeon 34134, Korea.
Kiyoung YoonDepartment of Companion Animal, Shingu College, Seongnam 13174, Korea.
Jongki ChoCollege of Veterinary Medicine, Chungnam National University, Daejeon 34134, Korea.
Chungnam National University · KRAdnan Menderes University · TRHawassa University · ETShingu College · KR

Funding

Ministry of Science and ICTNational Research Foundation of Korea 2021R1A2C2009294
6 · The paper itself

Abstract

Assessment of male fertility is based on the evaluation of sperm. Semen evaluation measures various sperm quality parameters as fertility indicators. However, semen evaluation has limitations, and it requires the advancement and application of strict quality control methods to interpret the results. This article reviews the recent advances in evaluating various sperm-specific quality characteristics and methodologies, with the help of different assays to assess sperm-fertility status. Sperm evaluation methods that include conventional microscopic methods, computer-assisted sperm analyzers (CASA), and flow cytometric analysis, provide precise information related to sperm morphology and function. Moreover, profiling fertility-related biomarkers in sperm or seminal plasma can be helpful in predicting fertility. Identification of different sperm proteins and diagnosis of DNA damage has positively contributed to the existing pool of knowledge about sperm physiology and molecular anomalies associated with different infertility issues in males. Advances in methods and sperm-specific evaluation has subsequently resulted in a better understanding of sperm biology that has improved the diagnosis and clinical management of male factor infertility. Accurate sperm evaluation is of paramount importance in the application of artificial insemination and assisted reproductive technology. However, no single test can precisely determine fertility; the selection of an appropriate test or a set of tests and parameters is required to accurately determine the fertility of specific animal species. Therefore, a need to further calibrate the CASA and advance the gene expression tests is recommended for faster and field-level applications.

Indexed as

BiomarkersComputer-assisted Sperm Analyzers (CASA)FertilitySperm BiologySperm Evaluation

Identifiers

PMID33902175
PMCPMC8255896
OpenAlexW3159382397

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.