Evidence map›Paper›PMID 36590753›Full record

ArticleDisease markers2022

ROMA Index Is an Effective Predictor for Advanced Endometrial Cancer before Surgery.

Jianzhang Wang, Ping Xu, Gen Zou, Meichen Yin, Xinqi Mao, Xinmei Zhang

Abstract read
In one paragraph

Article in Disease markers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jianzhang WangDepartment of Gynecology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310006, China.ORCID https://orcid.org/0000-0002-0263-4010
Ping XuDepartment of Gynecology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310006, China.ORCID https://orcid.org/0000-0002-6671-049X
Gen ZouDepartment of Gynecology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310006, China.ORCID https://orcid.org/0000-0003-3706-0552
Meichen YinDepartment of Gynecology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310006, China.ORCID https://orcid.org/0000-0002-4045-3894
Xinqi MaoDepartment of Gynecology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310006, China.ORCID https://orcid.org/0000-0003-4765-7416
Xinmei ZhangDepartment of Gynecology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310006, China.ORCID https://orcid.org/0000-0001-7122-6435

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a high rate of inconformity between clinical staging and surgical-pathologic staging in endometrial cancer. Many patients with advanced endometrial cancer are preoperatively understaged and thereby do not receive the optimal therapy. Here, we aimed to develop a predictive model or biomarker for preoperative diagnosis of advanced endometrial cancer via multivariate logistic regression analysis. In this study, 259 eligible patients were included, and 195 patients were assigned to the training dataset and 64 patients to validation dataset. Age, menopause status, sterilization situation, parity, body mass index, hypertension, diabetes mellitus, tumor size, and ovarian malignancy algorithm (ROMA) index were included as predictive variables, and the binary outcome was advanced endometrial cancer or not. When the

Indexed as

Endometrial NeoplasmsOvarian NeoplasmsAlgorithmsBiomarkers, TumorCA-125 AntigenFemaleHumansProteinsWAP Four-Disulfide Core Domain Protein 2Biomarkers, TumorCA-125 AntigenProteinsWAP Four-Disulfide Core Domain Protein 2

Identifiers

PMID36590753
PMCPMC9803563

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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.