Evidence map›Paper›PMID 39868776›Full record

ArticleMicrobiology spectrum2025

Multi-center evaluation of the Alinity m HR HPV assay with liquid-based cytology cervical specimens in the United States.

D Yitzchak Goldstein, Tong Yang, Danijela Lucic, Yan Zhang, Richard Cullum, Joshua Kostera, Anami Patel

Abstract readMulticenter StudyEvaluation Study
In one paragraph

Article in Microbiology spectrum, 2025. 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

7 authors.

D Yitzchak GoldsteinMontefiore Medical Center, Bronx, New York, USA.ORCID 0000-0001-6367-8335
Tong YangOchsner Health, New Orleans, Louisiana, USA.
Danijela LucicMolecular Diagnostics of Abbott, Des Plaines, Illinois, USA.
Yan ZhangMolecular Diagnostics of Abbott, Des Plaines, Illinois, USA.
Richard CullumMolecular Diagnostics of Abbott, Des Plaines, Illinois, USA.
Joshua KosteraMolecular Diagnostics of Abbott, Des Plaines, Illinois, USA.ORCID 0009-0002-8679-1677
Anami PatelPathAI Diagnostics, Memphis, Tennessee, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Incorporating molecular testing for human papillomavirus (HPV) into the screening of cervical specimens can improve risk stratification and, in turn, patient management. Infection with a high-risk (HR) HPV genotype is associated with greater risk for persistent infection, viral integration, and progression of cervical neoplasia. Current guidelines consider HPV 16 or HPV 18 clinically actionable with referral to colposcopy; however, 12 Other HR HPV genotypes have been associated with cervical cancer risk, suggesting a benefit of extended genotyping. In this multi-center study, we evaluated the performance of the Alinity m HR HPV assay, which reports HPV 16, 18, and 45 individually and aggregates of HPV 31/33/52/58 and HPV 35/39/51/56/59/66, compared with cobas HPV and Aptima HPV assays, across a variety of cytology result categories. A total of 746 de-identified residual cervical specimens, collected as part of routine cervical cancer screening programs, were tested using Alinity m HR HPV and at least one comparator assay. The overall percent agreement was ≥90.7% for results from the Alinity m HR HPV assay and cobas HPV assays and 90.5% for results from the Alinity m HR HPV and Aptima HPV assay. In patients with any abnormal cytology result, Alinity m identified 78 specimens with non-HPV 16/18 results, underscoring the benefit of detecting additional HR HPV genotypes to guide patient management more accurately. Among specimens with normal cytology, Alinity m detected 14 additional specimens with non-HPV 16/18 genotypes. Extended HR HPV testing can provide additional information to triage patients for appropriate testing and follow-up.IMPORTANCEExtended genotyping for high-risk human papillomavirus (HPV) types enhances diagnostic precision by identifying additional oncogenic HPV types beyond 16 and 18 therefore offering a more nuanced risk profile. This more comprehensive detection may aid in identifying persistent infections that are more likely to progress, thereby supporting future risk-based patient management strategies.

Indexed as

Cervix UteriMolecular Diagnostic TechniquesPapillomaviridaePapillomavirus InfectionsAdultAgedEarly Detection of CancerFemaleGenotypeHumansMiddle AgedSensitivity and SpecificityUnited StatesUterine Cervical Neoplasmscervical cancerhuman papillomavirusliquid-based cytologyrisk stratification

Identifiers

PMID39868776
PMCPMC11878003

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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.