Evidence map›Paper›PMID 42318091›Full record

ArticleHuman reproduction open2026

Should we routinely perform sperm DNA fragmentation testing in fertility clinics?

Srisailesh Vitthala, Tarek El-Toukhy, Abha Maheshwari

Abstract readEditorial
In one paragraph

Article in Human reproduction open, 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.

Srisailesh VitthalaMMC IVF Dubai, Dubai Healthcare City, Dubai, United Arab Emirates.ORCID https://orcid.org/0000-0003-1382-3578
Tarek El-ToukhyAssisted Conception Unit, Guy's and St Thomas' Hospital NHS Trust, London, UK.ORCID https://orcid.org/0000-0002-2030-4891
Abha MaheshwariAberdeen Fertility Centre, NHS Grampian, Foresterhill, Aberdeen, UK.ORCID https://orcid.org/0000-0002-3652-2447

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Routine semen analysis provides limited diagnostic and prognostic insight into male reproductive potential, contributing to the increasing use of sperm DNA fragmentation (SDF) testing in fertility evaluation. However, the clinical application of SDF testing appears to outpace the strength and consistency of the supporting evidence. This opinion paper critically appraises SDF testing through established screening, diagnostic, and prognostic test-performance frameworks, drawing on published observational studies, meta-analyses, and international guideline statements across natural conception and ART. The available evidence indicates that SDF testing does not meet the criteria for population-level screening or for routine diagnostic or prognostic use in unselected infertile populations and is frequently applied beyond its validated scope. Interpretation is further limited by assay heterogeneity, lack of standardization, variable thresholds, reliance on surrogate outcomes, and the limited effectiveness of available interventions. Routine implementation therefore risks overdiagnosis, unnecessary interventions, and premature escalation to assisted reproduction without proven benefit. When applied selectively within an aetiology-driven framework, particularly in defined subgroups, SDF testing may provide adjunctive risk stratification rather than deterministic clinical guidance. All stakeholders must be made aware of these limitations before the test is offered, interpreted, or used to modify treatment.

Indexed as

diagnostic accuracymale infertilityprognostic testingreproductive outcomesscreening testssemen analysissperm DNA fragmentation

Identifiers

PMID42318091
PMCPMC13274538

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Registered trials

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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.