Evidence map›Paper›PMID 26542589›Full record

ArticleAnnals of surgical oncology2016

Tumor Characteristics and Survival Outcome of Endometrial Cancer Arising in Adenomyosis: An Exploratory Analysis.

Koji Matsuo, Aida Moeini, Hiroko Machida, Christopher A Scannell, Jennifer K Casabar, Mamoru Kakuda, Sosuke Adachi, Jocelyn Garcia-Sayre, Yutaka Ueda, Lynda D Roman

Abstract read
In one paragraph

Article in Annals of surgical oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

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

  1. Impact of adenomyosis on the prognosis of patients with endometrial cancer.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2022
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  11. Treatment and outcome of placenta percreta: Primary cesarean hysterectomy versus conservative management.European journal of obstetrics, gynecology, and reproductive biology · 2020
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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

10 authors.

Koji MatsuoDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Southern California, Los Angeles, CA, USA. koji.matsuo@med.usc.edu.
Aida MoeiniDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Southern California, Los Angeles, CA, USA.
Hiroko MachidaDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Southern California, Los Angeles, CA, USA.
Christopher A ScannellKeck School of Medicine, Los Angeles, CA, USA.
Jennifer K CasabarDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Southern California, Los Angeles, CA, USA.
Mamoru KakudaDepartment of Obstetrics and Gynecology, Osaka University Graduate School of Medicine, Osaka, Japan.
Sosuke AdachiDepartment of Obstetrics and Gynecology, Niigata University Graduate School of Medicine, Niigata, Japan.
Jocelyn Garcia-SayreDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Southern California, Los Angeles, CA, USA.
Yutaka UedaDepartment of Obstetrics and Gynecology, Osaka University Graduate School of Medicine, Osaka, Japan.
Lynda D RomanDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Southern California, Los Angeles, CA, USA.

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Fumito Ito · 1985 to 2026
$181.4M
NCI NIH HHS P30 CA014089
6 · The paper itself

Abstract

backgroundEndometrial cancer arising in adenomyosis (EC-AIA) is a rare entity of endometrial cancer, and its clinical significance has not been well studied. This study aimed to examine the tumor characteristics and survival outcomes of EC-AIA.

methodsAn exploratory analysis was performed to compare EC-AIA and historical control cases. For this study, EC-AIA cases were identified via a systematic literature search using PubMed/MEDLINE with entry keywords "endometrial cancer OR uterine cancer" AND "adenomyosis" (n = 46). The control group comprised consecutive non-EC-AIA cases from four institutions that had hysterectomy-based surgical staging (n = 1294). Patient demographics, pathology results, and survival outcomes were evaluated between the two groups.

resultsThe EC-AIA group was significantly older than the control group (58.9 vs. 55.3 years; P = 0.032). In terms of tumor characteristics, 56.5% of the EC-AIA cases showed tumor within the myometrium without endometrial extension, and the EC-AIA group was significantly more likely to have tumors with more than 50% myometrial invasion (51.6 vs. 26.6%; P = 0.002) and serous/clear cell histology (22.2 vs. 8.2%, P = 0.002) while less likely to express estrogen receptor (14.3 vs. 84.6%; P < 0.001). Grade and stage distributions were similar (P > 0.05). In the univariate analysis, the EC-AIA group had a significantly poorer disease-free survival than the control group (5-year rate: 71.4 vs. 80.6%; P = 0.014). In the multivariate analysis, with control for age, ethnicity, histology, grade, and stage, EA-CIC remained an independent prognostic factor for decreased disease-free survival (adjusted hazard ratio, 3.07; 95% confidence interval 1.55-6.08; P = 0.001).

conclusionsThe study suggested that endometrial cancer arising in adenomyosis may be an aggressive variant of endometrial cancer.

Indexed as

Meta-Analysis as TopicAdenomyosisCase-Control StudiesEndometrial NeoplasmsFemaleFollow-Up StudiesHumansMiddle AgedNeoplasm StagingPrognosisSurvival Rate

Identifiers

PMID26542589
PMCPMC7521605

What OpenQuestion holds

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Registered trials

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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.