Evidence map›Paper›PMID 41658453›Full record

ArticleTranslational andrology and urology2026

Viable sperm DNA fragmentation index (SDF) provides better diagnostic accuracy than total SDF in male infertility: a cross-sectional study.

Tianqin Deng, Wenwen Yu, Jilong Yao, Xuemei Li, Zhihong Fu, Yuli Xie, Jiangbo Pu, Kexin Chen, Bing Yao, Xianhua Lin and 1 more

Abstract read
In one paragraph

Article in Translational andrology and urology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Tianqin Deng *Reproductive Medicine Centre, Shenzhen Maternity & Child Healthcare Hospital, Women and Children's Medical Center, Southern Medical University, Shenzhen, China.ORCID https://orcid.org/0000-0002-1994-0794
Wenwen Yu *Newborn Screening Centre, Shenzhen Maternity & Child Healthcare Hospital, Shenzhen, China.
Jilong YaoReproductive Medicine Centre, Shenzhen Maternity & Child Healthcare Hospital, Women and Children's Medical Center, Southern Medical University, Shenzhen, China.
Xuemei LiReproductive Medicine Centre, Shenzhen Maternity & Child Healthcare Hospital, Women and Children's Medical Center, Southern Medical University, Shenzhen, China.
Zhihong FuReproductive Medicine Centre, Shenzhen Maternity & Child Healthcare Hospital, Women and Children's Medical Center, Southern Medical University, Shenzhen, China.
Yuli XieNewborn Screening Centre, Shenzhen Maternity & Child Healthcare Hospital, Shenzhen, China.
Jiangbo PuReproductive Medicine Centre, Shenzhen Maternity & Child Healthcare Hospital, Women and Children's Medical Center, Southern Medical University, Shenzhen, China.
Kexin ChenReproductive Medicine Centre, Shenzhen Maternity & Child Healthcare Hospital, Women and Children's Medical Center, Southern Medical University, Shenzhen, China.
Bing YaoReproductive Medicine Centre, General Hospital of Eastern Military Region, Nanjing, China.
Xianhua LinReproductive Medicine Centre, Shenzhen Maternity & Child Healthcare Hospital, Women and Children's Medical Center, Southern Medical University, Shenzhen, China.ORCID https://orcid.org/0000-0003-0002-6414
Wanxue WangReproductive Medicine Centre, Shenzhen Maternity & Child Healthcare Hospital, Women and Children's Medical Center, Southern Medical University, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sperm DNA fragmentation index (SDF) is a key biomarker for male infertility; however, traditional SDF measurements include non-viable sperm, reducing clinical relevance. The viable SDF may provide greater diagnostic accuracy. This study aimed to explore the potential of viable SDF cutoff and assessed its predictive value for male fertility. Methods: This cross-sectional study enrolled men undergoing reproductive evaluation at a tertiary reproductive medical center. Semen analysis followed the World Health Organization (WHO) 5th edition guidelines. Total and viable SDF were measured using the sperm chromatin structure assay, with viability assessed using Far Red staining. Spearman's correlation analysis examined relationships between viable SDF, total SDF, and standard semen parameters. Using the 25% total SDF cutoff, patients were grouped into high (≥25%, n=96) and low (<25%, n=131) categories. Receiver operating characteristic (ROC) curve analysis identified the optimal viable SDF cutoff. Multivariate logistic regression analysis determined independent influencing factors for viable SDF, and ROC curves assessed model performance. Results: A total of 227 men undergoing male reproductive evaluation were included in the study. The mean total and viable SDF were 21.89%±14.95% and 10.31%±12.21%, respectively. Viable SDF showed significant negative correlations with progressive and total motility and a strong positive correlation with total SDF. ROC analysis identified a viable SDF cutoff of 9.79% [area under the curve (AUC) =0.813; sensitivity =76%, specificity =66%]. Significant discrepancies were observed between groupings based on total and viable SDF thresholds. Notably, 23 men with total SDF ≥25% had viable SDF <9.79%, whereas 44 with total SDF <25% had viable SDF >9.79%. A clinical cutoff of 9.79% for viable SDF shows superior diagnostic performance over total SDF. Conclusions: Viable SDF provides a more accurate assessment of clinically relevant (functional) sperm DNA damage because it evaluates DNA fragmentation specifically in membrane-intact, fertilization-competent sperm, rather than in the total sperm population.

Indexed as

cutoff valuemale sterilitysperm chromatin structure assay (SCSA)Sperm DNA fragmentation index (SDF)viable sperm DNA fragmentation index (viable SDF)

Identifiers

PMID41658453
PMCPMC12877888

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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.