Evidence map›Paper›PMID 31401259›Full record

ArticleAmerican journal of obstetrics and gynecology2020

Preoperative predictors of endometrial cancer at time of hysterectomy for endometrial intraepithelial neoplasia or complex atypical hyperplasia.

Monica Hagan Vetter, Blair Smith, Jason Benedict, Erinn M Hade, Kristin Bixel, Larry J Copeland, David E Cohn, Jeffrey M Fowler, David O'Malley, Ritu Salani and 1 more

Open access · greenAbstract read
In one paragraph

Article in American journal of obstetrics and gynecology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
10.6field-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

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 115 citations in OpenAlex.

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  9. Projected Trends in the Incidence and Mortality of Uterine Cancer in the United States.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Monica Hagan VetterDivision of Gynecologic Oncology, Department of Obstetrics/Gynecology, The Ohio State University College of Medicine, Columbus, OH.
Blair SmithDivision of Gynecologic Oncology, Department of Obstetrics/Gynecology, University of Missouri-Kansas City School of Medicine, Kansas City, MO.
Jason BenedictCenter for Biostatistics, Department of Biomedical Informatics, The Ohio State University College of Medicine, Columbus, OH.
Erinn M HadeCenter for Biostatistics, Department of Biomedical Informatics, The Ohio State University College of Medicine, Columbus, OH.
Kristin BixelDivision of Gynecologic Oncology, Department of Obstetrics/Gynecology, The Ohio State University College of Medicine, Columbus, OH.
Larry J CopelandDivision of Gynecologic Oncology, Department of Obstetrics/Gynecology, The Ohio State University College of Medicine, Columbus, OH.
David E CohnDivision of Gynecologic Oncology, Department of Obstetrics/Gynecology, The Ohio State University College of Medicine, Columbus, OH.
Jeffrey M FowlerDivision of Gynecologic Oncology, Department of Obstetrics/Gynecology, The Ohio State University College of Medicine, Columbus, OH.
David O'MalleyDivision of Gynecologic Oncology, Department of Obstetrics/Gynecology, The Ohio State University College of Medicine, Columbus, OH.
Ritu SalaniDivision of Gynecologic Oncology, Department of Obstetrics/Gynecology, The Ohio State University College of Medicine, Columbus, OH.
Floor J BackesDivision of Gynecologic Oncology, Department of Obstetrics/Gynecology, The Ohio State University College of Medicine, Columbus, OH. Electronic address: Floor.backes@osumc.edu.
The Ohio State University · USUniversity of Missouri–Kansas City · US

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Jennifer A. Woyach · 1985 to 2026
$132.3M
NCI NIH HHS P30 CA016058
6 · The paper itself

Abstract

backgroundEndometrial intraepithelial neoplasia, also known as complex atypical hyperplasia, is a precancerous lesion of the endometrium associated with a 40% risk of concurrent endometrial cancer at the time of hysterectomy. Although a majority of endometrial cancers diagnosed at the time of hysterectomy for endometrial intraepithelial neoplasia are low risk and low stage, approximately 10% of patients ultimately diagnosed with endometrial cancers will have high-risk disease that would warrant lymph node assessment to guide adjuvant therapy decisions. Given these risks, some physicians choose to refer patients to a gynecologic oncologist for definitive management. Currently, few data exist regarding preoperative factors that can predict the presence of concurrent endometrial cancer in patients with endometrial intraepithelial neoplasia. Identification of these factors may assist in the preoperative triaging of patients to general gynecology or gynecologic oncology.

objectiveTo determine whether preoperative factors can predict the presence of concurrent endometrial cancer at the time of hysterectomy in patients with endometrial intraepithelial neoplasia; and to describe the ability of preoperative characteristics to predict which patients may be at a higher risk for lymph node involvement requiring lymph node assessment at the time of hysterectomy. MATERIALS AND

methodsWe conducted a retrospective cohort study of women undergoing hysterectomy for pathologically confirmed endometrial intraepithelial neoplasia from January 2004 to December 2015. Patient demographics, imaging, pathology, and outcomes were recorded. The "Mayo criteria" were used to determine patients requiring lymphadenectomy. Unadjusted associations between covariates and progression to endometrial cancer were estimated by 2-sample t-tests for continuous covariates and by logistic regression for categorical covariates. A multivariable model for endometrial cancer at the time of hysterectomy was developed using logistic regression with 5-fold cross-validation.

resultsOf the 1055 charts reviewed, 169 patients were eligible and included. Of these patients, 87 (51.5%) had a final diagnosis of endometrial intraepithelial neoplasia/other benign disease, whereas 82 (48.5%) were ultimately diagnosed with endometrial cancer. No medical comorbidities were found to be strongly associated with concurrent endometrial cancer. Patients with endometrial cancer had a thicker average endometrial stripe compared to the patients with no endometrial cancer at the time of hysterectomy (15.7 mm; standard deviation, 9.5) versus 12.5 mm; standard deviation, 6.4; P = .01). An endometrial stripe of ≥2 cm was associated with 4.0 times the odds of concurrent endometrial cancer (95% confidence interval, 1.5-10.0), controlling for age. In all, 87% of endometrial cancer cases were stage T1a (Nx or N0). Approximately 44% of patients diagnosed with endometrial cancer and an endometrial stripe of ≥2 cm met the "Mayo criteria" for indicated lymphadenectomy compared to 22% of endometrial cancer patients with an endometrial stripe of <2 cm.

conclusionEndometrial stripe thickness and age were the strongest predictors of concurrent endometrial cancer at time of hysterectomy for endometrial intraepithelial neoplasia. Referral to a gynecologic oncologist may be especially warranted in endometrial intraepithelial neoplasia patients with an endometrial stripe of ≥2 cm given the increased rate of concurrent cancer and potential need for lymph node assessment.

Indexed as

AgedAge FactorsCarcinoma, EndometrioidCarcinoma in SituCohort StudiesEndometrial HyperplasiaEndometrial NeoplasmsFemaleHumansLymph Node ExcisionMiddle AgedNeoplasm GradingNeoplasm StagingPrecancerous ConditionsRetrospective StudiesRisk Assessmentendometrial cancerendometrial hyperplasiaendometrial intraepithelial neoplasiaendometrial stripeprecancerous lesiontransvaginal pelvic ultrasound

Identifiers

PMID31401259
PMCPMC7201377
OpenAlexW2968932291

What OpenQuestion holds

Textmetadata
LicenceTDM
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.