Evidence map›Paper›PMID 33037107›Full record

ArticleInternational journal of gynecological cancer : official journal of the International Gynecological Cancer Society2020

HrHPV testing vs liquid-based cytology in cervical cancer screening among women aged 50 and older: a prospective study.

Berit Andersen, Sisse Helle Njor, Anne Marie Schak Jensen, Tonje Johansen, Ulla Jeppesen, Hans Svanholm

Open access · hybridAbstract readComparative Study
In one paragraph

Article in International journal of gynecological cancer : official journal of the International Gynecological Cancer Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

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  4. [Effectiveness of Different Testing Strategies Applied for Cervical Cancer Screening in Shuangliu District, Chengdu City].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2022
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  16. Assessing High-Risk HPV Infection Rates in Females Undergoing Cervical Cancer Screening in Western India Using HPV-DNA Testing.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
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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

6 authors at 3 institutions in 1 country.

Berit AndersenDepartment of Public Health Programmes, Randers Regional Hospital, Randers, Denmark berand@rm.dk.ORCID 0000-0003-4074-6504
Sisse Helle NjorDepartment of Public Health Programmes, Randers Regional Hospital, Randers, Denmark.
Anne Marie Schak JensenDefactum, Central Denmark Region, Aarhus, Denmark.
Tonje JohansenDepartment of Pathology, Randers Regional Hospital, Randers, Denmark.
Ulla JeppesenDepartment of Gynaecology, Randers Regional Hospital, Randers, Denmark.
Hans SvanholmDepartment of Public Health Programmes, Randers Regional Hospital, Randers, Denmark.
Regional Hospital Randers · DKAarhus University · DKCentral Denmark Region · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEvidence supports high-risk human papilloma virus (HPV) testing as the primary cervical cancer screening tool. However, benefits and harms should be carefully considered before replacing liquid-based cytology. In women age 50 and older, we evaluated how a commercially available DNA amplification HPV test compares with routine liquid-based cytology.

methodsThis prospective study included 4043 patients who had a cervical sample analyzed from September 2011 to September 2012. Patients were followed between 64 and 76 months (median: 70 months). Samples were analyzed using both liquid-based cytology and the Cobas 4800 HPV DNA test. We calculated the diagnostic efficacy of liquid-based cytology and HPV, with or without the opposite test as triage, using cervical intraepithelial neoplasia (CIN2+/CIN3+) as reference.

resultsThe patients had a median age of 58 years, (range; 50-90). At baseline, HPV prevalence was 8.0%: a total of 3.7% of patients had atypical squamous cells of undetermined significance or worse (ASCUS+). Positive test results were 1.9% for liquid-based cytology with HPV triage and 3.0% for HPV with liquid-based cytology triage. The cumulative incidence of CIN3+ was 1.0% (40/4043). Sensitivities for CIN3+ were: liquid-based cytology 47.5% (31.5%-63.9%); liquid-based cytology with HPV triage 45.0% (29.3%-61.5%); HPV 90.0% (76.3%-97.2%); and HPV with liquid-based cytology triage 67.5% (50.9%-81.4%). Corresponding specificities were: liquid-based cytology 96.6% (96.0%-97.2%); liquid-based cytology with HPV triage 98.5% (98.0%-98.8%); HPV 92.8% (92.0%-93.6%); and HPV with liquid-based cytology triage 97.7% (97.2%-98.1%). At baseline, HPV testing overlooked five cases of gynecological cancer other than cervical cancer. Five cervical cancers were detected, two had been overlooked at baseline by liquid-based cytology and two by HPV testing

conclusionHPV screening using DNA amplification is a promising alternative to liquid-based cytology in women age 50 and older, but evaluation of alternative triage methods is warranted. The risk of overlooking cancers needs consideration when replacing liquid-based cytology with HPV testing as a method for primary screening.

Indexed as

AgedDenmarkEarly Detection of CancerFemaleHuman Papillomavirus DNA TestsHumansLiquid BiopsyMass ScreeningMiddle AgedPapillomaviridaePredictive Value of TestsProspective StudiesUterine Cervical Neoplasmscervical cancer

Identifiers

PMID33037107
PMCPMC7656146
OpenAlexW3091776886

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.