Evidence map›Paper›PMID 38322633›Full record

ArticleJournal of human reproductive sciences

Explaining the Unexplained: Examining the Predictive Value of Semen Parameters, Sperm DNA Fragmentation and Metal Levels in Unexplained Infertility.

Navdeep Kaur Ghuman, Kamla Kant Shukla, Srividhya Nandagopal, Sunil Raikar, Shailendra Kumar, Priyanka Kathuria, Dinesh Choudhary, Poonam Elhence, Pratibha Singh

Abstract read
In one paragraph

Article in Journal of human reproductive sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

9 authors.

Navdeep Kaur GhumanDepartment of Obstetrics and Gynaecology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
Kamla Kant ShuklaDepartment of Trauma and Emergency, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
Srividhya NandagopalDepartment of Biochemistry, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
Sunil RaikarDepartment of Obstetrics and Gynaecology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
Shailendra KumarDepartment of Biochemistry, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
Priyanka KathuriaDepartment of Obstetrics and Gynaecology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
Dinesh ChoudharyDepartment of Obstetrics and Gynaecology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
Poonam ElhenceDepartment of Pathology and Lab Medicine, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
Pratibha SinghDepartment of Obstetrics and Gynaecology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is ongoing research to find an optimum modality to predict male fertility potential. Aims: To compare the semen parameters, sperm DNA damage and seminal metal levels of Zinc, Lead and Aluminium among the male partners of couples with unexplained infertility and men with proven fertility. Settings and Design: Prospective case-control study at a tertiary level teaching hospital. Materials and Methods: One hundred male partners of couples with unexplained subfertility and 50 men with proven fertility were included in the study. Male partners of unexplained infertility couples and fertile men were compared for their semen parameters, sperm DNA Fragmentation Index (DFI) and seminal metal levels in semen. Statistical Analysis Used: Chi-square test, Student's Results: Fertile men had statistically significantly higher mean progressive sperm motility than male partners of unexplained infertility (53.12 ± 9.89% vs. 44.81 ± 19.47%, Conclusion: Conventional semen analysis had limited differentiating ability for unexplained infertility. The sperm DFI may be employed for explanatory purposes among couples with unexplained subfertility. A lower discriminatory threshold of DFI (18%) has better overall accuracy as opposed to a 30% cutpoint for unexplained subfertility. Among metals, Zinc was strongly correlated with fertility status.

Indexed as

Metal concentrationsemen parameterssperm DNA fragmentationunexplained infertility

Identifiers

PMID38322633
PMCPMC10841936

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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.