Evidence map›Paper›PMID 39652237›Full record

SynthesisJournal of assisted reproduction and genetics2025

FertilitY Predictor-a machine learning-based web tool for the prediction of assisted reproduction outcomes in men with Y chromosome microdeletions.

Stacy Colaco, Priyanka Narad, Ajit Kumar Singh, Payal Gupta, Alakto Choudhury, Abhishek Sengupta, Deepak Modi

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Journal of assisted reproduction and genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Genetic diversity of infertile males in India.Journal of assisted reproduction and genetics · 2026
    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

7 authors.

Stacy Colaco *Molecular and Cellular Biology Laboratory, ICMR-National Institute for Research in Reproductive and Child Health, JM Street, Parel, Mumbai, Maharashtra, 400012, India.ORCID http://orcid.org/0000-0003-4083-9815
Priyanka NaradDivision of Development Research, Indian Council of Medical Research, Ansari Nagar, New Delhi, India.ORCID http://orcid.org/0000-0001-7317-654X
Ajit Kumar SinghSystems Biology and Data Analytics Research Laboratory Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India.ORCID http://orcid.org/0000-0002-4230-4219
Payal Gupta *Systems Biology and Data Analytics Research Laboratory Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India.ORCID http://orcid.org/0000-0001-9965-3789
Alakto Choudhury *Systems Biology and Data Analytics Research Laboratory Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India.ORCID http://orcid.org/0000-0002-4340-2179
Abhishek SenguptaSystems Biology and Data Analytics Research Laboratory Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India.ORCID http://orcid.org/0000-0002-3958-3675
Deepak ModiMolecular and Cellular Biology Laboratory, ICMR-National Institute for Research in Reproductive and Child Health, JM Street, Parel, Mumbai, Maharashtra, 400012, India. deepaknmodi@yahoo.com.

Funding

Department of Health Research, Government of India YSS/2019/000118/PRCYSSRajiv Gandhi Centre for Biotechnology, Department of Biotechnology, Ministry of Science and Technology, India BT/PR31614/BID/7/857/2019
6 · The paper itself

Abstract

purposeY chromosome microdeletions (YCMD) are a common cause of azoospermia and oligozoospermia in men. Herein, we developed a machine learning-based web tool to predict sperm retrieval rates and success rates of assisted reproduction (ART) in men with YCMD.

methodsData on ART outcomes of men with YCMD who underwent ART were extracted from published studies by performing a systematic review. This data was used to develop a web-based predictive algorithm using machine learning.

resultsFertilitY Predictor classifies the type of YCMD into AZFa, AZFb, AZFc, their combinations, and gr/gr deletions based on the genetic markers as input. Further, it predicts the probability of sperm retrieval, fertilization rate, clinical pregnancy rate, and live birth rate based on the type of YCMD. Validation studies demonstrated its high accuracy and predictability for sperm retrieval, clinical pregnancy rates, and live birth rates. The tool predicts that men with deletions have a chance of sperm retrieval that varies with type of deletions, the clinical pregnancy rates and live birth rates are lower in men with AZF deletions. A trial version of the tool is available at http://fertilitypredictor.sbdaresearch.in .

conclusionsFertilitY Predictor allows users to classify AZFa, AZFb, AZFc, and gr/gr deletions and also predict the outcomes of ART based on the type of deletions.

trial registrationPROSPERO (CRD42022311738).

Indexed as

AzoospermiaFertilityInfertility, MaleMachine LearningReproductive Techniques, AssistedSex Chromosome Disorders of Sex DevelopmentChromosome DeletionChromosomes, Human, YFemaleHumansInternetLive BirthMalePregnancyPregnancy RateSex Chromosome AberrationsAIArtificial intelligenceAZFaAZFbAZFcAZF microdeletionsClinical pregnancyFertilizationGeneticsgr/grIVFLive birthMale infertilitySperm retrieval

Identifiers

PMID39652237
PMCPMC11871245

What Socratic 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 Socratic graph.