Evidence map›Paper›PMID 22422852›Full record

ArticleJournal of clinical microbiology2012

Comparison of seven tests for high-grade cervical intraepithelial neoplasia in women with abnormal smears: the Predictors 2 study.

Anne Szarewski, David Mesher, Louise Cadman, Janet Austin, Lesley Ashdown-Barr, Linda Ho, George Terry, Stuart Liddle, Martin Young, Mark Stoler and 6 more

Open access · bronzeAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 3 pooled it
17.7field-weighted citation impact, top 1% of its field
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

59 citing papers in PubMed, 3 syntheses or guidelines pooled it, 163 citations in OpenAlex.

  1. German-Austrian guideline on screening for anal dysplasia and anal carcinoma in people living with HIV.Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG · 2025
    Guideline
  2. Pooled it
  3. Recommendations on screening for cervical cancer.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2013
    Guideline
  4. A Randomized Comparison of Different Vaginal Self-sampling Devices and Urine for Human Papillomavirus Testing-Predictors 5.1.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021
    Trial
  5. Article
  6. Article
  7. Comparison of the SureXFrontiers in oncology · 2025
    Article
  8. Article
  9. Article
  10. Human Papillomavirus E7 and p16Diagnostics (Basel, Switzerland) · 2023
    Article
  11. Article
  12. Observational
  13. Article
  14. Article
  15. Article
  16. Article
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  19. Review
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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

16 authors at 5 institutions in 2 countries.

Anne SzarewskiCentre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary, University of London, London, United Kingdom. a.szarewski@qmul.ac.uk
David Mesher
Louise Cadman
Janet Austin
Lesley Ashdown-Barr
Linda Ho
George Terry
Stuart Liddle
Martin Young
Mark Stoler
Julie McCarthy
Corrina Wright
Christine Bergeron
W P Soutter
Deirdre Lyons
Jack Cuzick
Queen Mary University of London · GBSt. Mary's Hospital · GBQueen Charlotte's and Chelsea Hospital · GBRoyal Free London NHS Foundation Trust · GBUniversity of Virginia Health System · US

Funding

Cancer Research UK C569/A10404Cancer Research UK C8162/A10406
6 · The paper itself

Abstract

High-risk human papillomavirus (HPV) DNA/RNA testing provides higher sensitivity but lower specificity than cytology for the identification of high-grade cervical intraepithelial neoplasia (CIN). Several new HPV tests are now available for this purpose, and a direct comparison of their properties is needed. Seven tests were evaluated with samples in liquid PreservCyt transport medium from 1,099 women referred for colposcopy: the Hybrid Capture 2 (Qiagen), Cobas (Roche), PreTect HPV-Proofer (NorChip), Aptima HPV (Gen-Probe), and Abbott RealTime assays, the BD HPV test, and CINtec p16(INK4a) cytology (mtm laboratories) immunocytochemistry. Sensitivity, specificity, and positive predictive value (PPV) were based on the worst histology found on either the biopsy or the treatment specimen after central review. Three hundred fifty-nine women (32.7%) had CIN grade 2+ (CIN2+), with 224 (20.4%) having CIN3+. For detection of CIN2+, Hybrid Capture 2 had 96.3% sensitivity, 19.5% specificity, and 37.4% PPV. Cobas had 95.2% sensitivity, 24.0% specificity, and 37.6% PPV. The BD HPV test had 95.0% sensitivity, 24.2% specificity, and 37.8% PPV. Abbott RealTime had 93.3% sensitivity, 27.3% specificity, and 38.2% PPV. Aptima had 95.3% sensitivity, 28.8% specificity, and 39.3% PPV. PreTect HPV-Proofer had 74.1% sensitivity, 70.8% specificity, and 55.4% PPV. CINtec p16(INK4a) cytology had 85.7% sensitivity, 54.7% specificity, and 49.1% PPV. Cytology of a specimen taken at colposcopy (mild dyskaryosis or worse) had 88.9% sensitivity, 58.1% specificity, and 50.7% PPV. Our study confirms that, in a referral setting, HPV testing by a number of different tests provides high sensitivity for high-grade disease. Further work is needed to confirm these findings in a routine screening setting.

Indexed as

Reagent Kits, DiagnosticAdultFemaleHumansImmunohistochemistryMolecular Diagnostic TechniquesPapillomaviridaeParvoviridae InfectionsSensitivity and SpecificityUterine Cervical DysplasiaReagent Kits, Diagnostic

Identifiers

PMID22422852
PMCPMC3372127
OpenAlexW2003473150

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.