Evidence map›Paper›PMID 35831030›Full record

ArticleInternational journal of gynecological cancer : official journal of the International Gynecological Cancer Society2022

Demographic shifts associated with implementation of evidence-based guidelines for ovarian conservation in patients with endometrioid endometrial cancer.

Beryl L Manning-Geist, Eric Rios-Doria, Emeline M Aviki, Qin Zhou, Alexia Iasonos, Nadeem R Abu-Rustum, Carol L Brown, Jennifer J Mueller

Abstract read
In one paragraph

Article in International journal of gynecological cancer : official journal of the International Gynecological Cancer Society, 2022. 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
–field-weighted citation impact
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.

  1. Article
  2. Molecular and pathologic data to guide selection of patients with endometrioid endometrial cancer for ovarian preservation.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2024
    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

8 authors.

Beryl L Manning-GeistGynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID http://orcid.org/0000-0002-5556-0457
Eric Rios-DoriaGynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID http://orcid.org/0000-0002-5494-8775
Emeline M AvikiGynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Qin ZhouDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Alexia IasonosDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Nadeem R Abu-RustumGynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID http://orcid.org/0000-0001-9689-1298
Carol L BrownGynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Jennifer J MuellerGynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA muellerj@mskcc.org.ORCID http://orcid.org/0000-0003-0365-7510

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

objectiveIn 2018, evidence-based surgical guidelines were introduced to identify appropriate patients with low-grade endometrioid endometrial cancer for ovarian conservation. We sought to identify trends and demographic shifts associated with guideline implementation.

methodsWe identified women treated for endometrioid endometrial cancer at our institution from January 2010 to June 2021. Eligibility criteria included age ≤50 years, normal-appearing ovaries on preoperative imaging, no family history of hereditary breast and ovarian cancer syndrome or Lynch syndrome, and no hormone receptor-positive malignancy. Trends in ovarian conservation were examined with the Cochran-Armitage trend test or in a logistic regression model. Associations between ovarian conservation and clinicodemographic factors before and after guideline implementation were compared using Wilcoxon rank-sum and Fisher's exact tests.

resultsOf 420 women ≤50 years of age undergoing surgery for endometrioid endometrial cancer, 355 (85%) met the criteria for ovarian conservation-267 (75%) before and 88 (25%) after guideline implementation. Median patient age was 45 years (range 25-50); 62% were non-Hispanic White, 10% Hispanic White, 8% non-Hispanic Black, 0% Hispanic Black, and 20% Asian. Patients were significantly more likely to choose ovarian conservation after (48%) compared with before guideline implementation (21%) (p<0.001). Pre-guidelines, non-Hispanic White women were less likely to elect for ovarian conservation (12%) compared with non-Hispanic Black, Asian, or Hispanic White women (28%) (p=0.002). Similarly, older women were less likely to elect for ovarian conservation compared with younger women (p<0.001). There were no differences by obesity (p=0.68), marital status (p=0.86), or insurance (p=0.89). Post-guidelines, there were no differences in ovarian conservation between non-Hispanic White women (36%) and non-Hispanic Black, Asian, or Hispanic White women (50%) (p=0.56). Older women were still less likely to elect for ovarian conservationcompared with younger women (p<0.001).

conclusionsAfter guideline implementation, ovarian conservation increased and uptake disparities across demographic groups decreased.

Indexed as

SurgeryUterine Cancer

Identifiers

PMID35831030
PMCPMC10428184

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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.