Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 278

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

The clinical relevance of human papillomavirus testing: relationship between analytical and clinical sensitivity

Open access
Snijders, Peter JF, van den Brule, Adriaan JC, Meijer, Chris JLM·2003·The Journal of Pathology

Abstract

Given the fact that infection with high‐risk human papillomavirus (HPV) is causally involved in cervical cancer, addition of high‐risk HPV testing to a cervical smear may improve the efficacy of cervical cancer screening programmes, the triage of women with equivocal or borderline Pap smears, and the monitoring of women who have been treated for cervical intraepithelial neoplasia grade 3 (CIN 3). Compared to a cervical smear HPV tests revealed a superior sensitivity (ie clinical sensitivity) for lesions ≥ CIN 3, and a negative predictive value approaching 100%. However, a potential complication is the availability of several HPV testing methods, all displaying a different sensitivity and specificity to detect HPV‐positive women (ie analytical sensitivity and specificity). There is now compelling evidence that the clinical sensitivity and specificity of HPV tests are not simply synonymous to their analytical sensitivity and specificity, respectively. In fact, a distinction between so‐called clinically relevant and irrelevant high‐risk HPV infections should be made when considering HPV tests for primary screening, triage policies, or post‐treatment monitoring. Here, we discuss the potential importance of HPV load in the context of currently widely applied HPV detection methods, to distinguish clinically relevant from irrelevant HPV infections. From this it can be concluded that it is of utmost importance to define criteria, involving viral load threshold and the type of HPV detection method that should be fulfilled by an HPV test before implementation of such a test in clinical practice and population‐based cervical cancer screening programmes. Copyright © 2003 John Wiley & Sons, Ltd.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/path.1433

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 278

Metadata

Authors
Snijders, P. J., van den Brule, A. J., & Meijer, C. J.
Venue
The Journal of Pathology
Publisher
Wiley
Published
2003-08-05
Volume
201
Issue
1
Pages
1-6
ISSN
  • 0022-3417 (ISSN-L)
  • 1096-9896
OpenAlex
W2025017506
Cited by
278
References
1
FWCI
13.23
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.