Evidence map›Paper›PMID 35538309›Full record

ArticleEndocrine2022

Neuroendocrine neoplasms of the ovary: an analysis of clinicopathological characteristics and prognosis with a focus on histological grading.

Wu Huang, Yiting Bao, Xukai Luo, Liangqing Yao, Lei Yuan

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Article in Endocrine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Wu HuangDepartment of Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
Yiting BaoDepartment of Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
Xukai LuoDepartment of Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
Liangqing YaoDepartment of Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
Lei YuanDepartment of Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China. yuanlei1529@163.com.ORCID 0000-0002-9949-9803
Obstetrics and Gynecology Hospital of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveOvarian neuroendocrine neoplasm is a rare and highly heterogeneous neoplasm. This study is aimed to describe its demographic and clinicopathological features and identify its prognostic factors.

methodsClinical data of 399 patients diagnosed with ovarian neuroendocrine neoplasms between 2004 and 2016 in the Surveillance, Epidemiology, and End Results (SEER) database were analysed retrospectively. Survival curves were drawn using the Kaplan-Meier method, comparisons among different subgroups were evaluated using log-rank tests, and multivariate Cox regression analyses identified independent prognostic factors.

resultsThe five-year survival rates of patients with different histological types (carcinoid tumour, neuroendocrine carcinoma and special type of carcinoid tumour) were 25.5%, 96.1% and 75.0%, respectively (P < 0.001). Multivariate Cox analysis revealed that in carcinoid tumours, advanced FIGO stage was the only predictor. Additionally, no significant difference was observed among stages II, III and IV using the log-rank test. In neuroendocrine carcinoma, an advanced FIGO stage and high-grade differentiation were risk factors, while chemotherapy was a protective factor. Among all ovarian neuroendocrine neoplasms with a known histological differentiation status, no significant difference was observed among different histological types; only high-grade differentiation was an independent risk factor, and chemotherapy was a protective factor.

conclusionsPatients with neuroendocrine carcinomas and carcinoid tumours of an advanced FIGO stage have a poor prognosis. Poor differentiation of neuroendocrine carcinomas indicates a short survival time, and adjuvant chemotherapy appears to be effective. Histological differentiation of ovarian neuroendocrine neoplasms is the most potent prognostic factor comparing to other known factors. Taken together, ovarian neuroendocrine neoplasms might be better classified as low- or high-grade ones rather than the currently used classification based on histological types in the future.

Indexed as

Carcinoid TumorCarcinoma, NeuroendocrineNeuroendocrine TumorsOvarian NeoplasmsFemaleHumansNeoplasm StagingPrognosisRetrospective StudiesCarcinoid tumourHistological gradeNeuroendocrine carcinomaOvarian neuroendocrine neoplasmsPrognosisSEER database

Identifiers

PMID35538309
OpenAlexW4280569111

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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.