Evidence map›Paper›PMID 36769874›Full record

ArticleJournal of clinical medicine2023

A Nomogram Model Based on Neuroendocrine Markers for Predicting the Prognosis of Neuroendocrine Carcinoma of Cervix.

Mingzhu Jia, Jiangchuan Pi, Juan Zou, Min Feng, Huiling Chen, Changsheng Lin, Shuqi Yang, Ying Deng, Xue Xiao

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2023. 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
–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

5 citing papers in PubMed.

  1. Neuroendocrine carcinoma of the cervix (NECC): A retrospective study of 175 Chinese patients.European journal of obstetrics & gynecology and reproductive biology: X · 2025
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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

9 authors.

Mingzhu JiaDepartment of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu 610041, China.
Jiangchuan PiDepartment of Urology, Chengdu Second People's Hospital, Chengdu 610041, China.
Juan ZouDepartment of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu 610041, China.
Min FengDepartment of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu 610041, China.
Huiling ChenDepartment of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu 610041, China.ORCID 0000-0002-8379-8649
Changsheng LinDepartment of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu 610041, China.
Shuqi YangDepartment of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu 610041, China.ORCID 0000-0001-9011-6848
Ying DengDepartment of Gynecology and Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Xue XiaoDepartment of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu 610041, China.

Funding

National Key Research and Development Plan 2022YFC3600304National Natural Science Foundation of China 82071651Science and Technology Bureau Project of Chengdu 2017-GH02-00030-HZ
6 · The paper itself

Abstract

backgroundCombining traditional clinical parameters with neuroendocrine markers to construct a nomogram model to predict the postoperative recurrence of neuroendocrine carcinoma of cervix (NECC).

methodsA total of 257 patients were included in this study. Univariate and multivariate Cox regression analyses were used to establish a nomogram model in the training cohorts, which was further validated in the validation cohorts. The calibration curve was used to conduct the internal and external verification of the model.

resultsOverall, 41 relapse cases were observed in the training (23 cases) and validation (18 cases) cohorts. The univariate analysis preliminarily showed that FIGO stage, stromal invasion, nerve invasion, lymph vascular space invasion, lymph node involvement, cervical-uterine junction invasion and CgA were correlated with NECC recurrence. The multivariate analysis further confirmed that FIGO stage (

conclusionsThe established nomogram model combining traditional clinical parameters with neuroendocrine markers can reliably and accurately predict the recurrence risks in NECC patients.

Indexed as

classical parametersneuroendocrine carcinoma of cervixneuroendocrine markersnomogram modelrecurrence

Identifiers

PMID36769874
PMCPMC9917535

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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.