Evidence map›Paper›PMID 33454132›Full record

ArticleGynecologic oncology2021

The relationship of human papillomavirus and cytology co-testing results with endometrial and ovarian cancer diagnoses.

Philip E Castle, Alexander Locke, Ana I Tergas, Brian Befano, Nancy Poitras, Nina R Shah, Mark Schiffman, Nicolas Wentzensen, Howard D Strickler, Megan A Clarke and 1 more

Open access · greenAbstract read
In one paragraph

Article in Gynecologic oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

11 authors at 7 institutions in 1 country.

Philip E CastleDivision of Cancer Prevention, National Cancer Institute, National Institutes of Health, Rockville, MD, USA; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA. Electronic address: philip.castle@nih.gov.
Alexander LockeThe Permanente Medical Group, Oakland, CA, USA.
Ana I TergasDepartment of Obstetrics and Gynecology, Columbia University College of Physicians and Surgeons, the Department of Epidemiology, Joseph L. Mailman School of Public Health, Columbia University, Columbia University College of Physicians and Surgeons, New York, New York, USA.
Brian BefanoIMS, Calverton, MD, USA.
Nancy PoitrasRegional Laboratory, Kaiser Permanente Northern California, Oakland, CA, USA.
Nina R ShahThe Permanente Medical Group, Oakland, CA, USA.
Mark SchiffmanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Nicolas WentzensenDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Howard D StricklerDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA.
Megan A ClarkeDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Thomas LoreyRegional Laboratory, Kaiser Permanente Northern California, Oakland, CA, USA.
National Institutes of Health · USColorado Permanente Medical Group · USKaiser Permanente · USAlbert Einstein College of Medicine · USColumbia University · USInformation Management Services · USNational Cancer Institute · US

Funding

Human papillomavirus (HPV) infection and cervical and anal cancersZIACP010124 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI WENTZENSEN, NICOLAS · 2009 to 2025
$17.3M
Developing Data-Driven Cancer ResearchersT32CA009168 · NCI · UNIVERSITY OF WASHINGTON · PI STEPHEN M SCHWARTZ, MICHAEL Chiao-An WU · 1985 to 2026
$10.1M
Intramural NIH HHS ZIA CP010124NCI NIH HHS T32 CA009168
6 · The paper itself

Abstract

backgroundTo investigate whether routine cervical screening using human papillomavirus (HPV) and cytology co-testing effectively identifies women with endometrial (EC) or ovarian (OvC) cancer.

methodsIn 2003, Kaiser Permanente Northern California implemented triennial co-testing in women aged ≥30 years. Index screening results (n = 2,385,729) were linked to subsequent EC (n = 3434) and OvC (n = 1113) diagnoses from January 1, 2003 to December 31, 2017. EC were categorized as type 1 or 2, and, selectively, EC and OvC diagnoses were stratified on whether symptoms were present at the time of the co-test. Fractions and absolute risks of EC or OvC of each co-testing result were calculated.

resultsMost EC (82.18%) and OvC (88.68%) were preceded by a negative HPV and negative cytology co-test. More EC were preceded by atypical squamous cells of undetermined significance (ASC-US) or more severe (ASC-US+) cytology and negative HPV test (n = 290) (8.44% of EC) compared to a negative cytology and a positive HPV test (n = 31) (0.89% of EC) (p < 0.001). The absolute risk of any EC diagnosis following ASC-US+ and negative HPV test was 0.48%. Atypical glandular cells (AGC) cytology and a negative HPV result preceded 6.92% of any EC diagnosis, with an absolute risk of 4.02%, but preceded only 1.13% of type 2 EC cases, with an absolute risk of 0.24%, in asymptomatic women. AGC cytology and a negative HPV result preceded 1.44% of OvC, with an absolute risk of 0.28%.

conclusionsAbnormal cervical screening tests, even AGC cytology, rarely precedes and poorly predict women with EC or OvC.

Indexed as

AdultAtypical Squamous Cells of the CervixCaliforniaEarly Detection of CancerEndometrial NeoplasmsFemaleHumansMiddle AgedOvarian NeoplasmsPapillomaviridaePapillomavirus InfectionsUterine Cervical Neoplasms

Identifiers

PMID33454132
PMCPMC10902690
OpenAlexW3119676525

What OpenQuestion holds

Textmetadata
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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.