Evidence map›Paper›PMID 36052281›Full record

ArticleJournal of immunology research2022

Use of Nomogram to Predict the Risk of Lymph Node Metastasis among Patients with Cervical Adenocarcinoma.

Yongju Tian, Yiping Hao, Qingqing Liu, Ruowen Li, Zhonghao Mao, Nan Jiang, Bingyu Wang, Wenjing Zhang, Xiaofang Zhang, Baoxia Cui

Open access · goldAbstract read
In one paragraph

Article in Journal of immunology research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

10 authors at 3 institutions in 1 country.

Yongju TianDepartment of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Yiping HaoDepartment of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Qingqing LiuDepartment of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Ruowen LiDepartment of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Zhonghao MaoDepartment of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Nan JiangDepartment of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Bingyu WangDepartment of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Wenjing ZhangDepartment of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Xiaofang ZhangDepartment of Pathology, School of Basic Medical Science, Shandong University, Jinan, Shandong, China.ORCID https://orcid.org/0000-0003-3332-1559
Baoxia CuiDepartment of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, Shandong, China.ORCID https://orcid.org/0000-0001-9088-1240
Qilu Hospital of Shandong University · CNShandong University · CNYantaishan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The objective of this study was to develop a nomogram that can predict lymph node metastasis (LNM) in patients with cervical adenocarcinoma (cervical AC). Methods: A total of 219 patients with cervical AC who had undergone radical hysterectomy and lymphadenopathy between 2005 and 2021 were selected for this study. Both univariate and multivariate logistic regression analyses were performed to analyze the selected key clinicopathologic features and develop a nomogram and underwent internal validation to predict the probability of LNM. Results: Lymphovascular invasion (LVI), tumor size ≥ 4 cm, and depth of cervical stromal infiltration were independent predictors of LNM in cervical AC. However, the Silva pattern was not found to be a significant predictor in the multivariate model. The Silva pattern was still included in the model based on the improved predictive performance of the model observed in the previous studies. The concordance index ( Conclusion: In this study, a nomogram was developed based on the pathologic features, which helped to screen individuals with a higher risk of occult LNM. As a result, this tool may be specifically useful in the management of individuals with cervical AC and help gynecologists to guide clinical individualized treatment plan.

Indexed as

AdenocarcinomaUterine Cervical NeoplasmsFemaleHumansLymphatic MetastasisLymph NodesNomograms

Identifiers

PMID36052281
PMCPMC9427274
OpenAlexW4292787573

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.