Evidence map›Paper›PMID 37525124›Full record

Trial reportBMC cancer2023

Development and validation of prognostic nomogram for T

Weijian Mei, Wang Yao, Zhengbo Song, Wenjie Jiao, Lianxin Zhu, Qinghua Huang, Chaolun An, Jianguang Shi, Guiping Yu, Pingli Sun and 6 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Correlations ofQuantitative imaging in medicine and surgery · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

16 authors.

Weijian Mei *Department of Thoracic Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, China.
Wang Yao *Department of Interventional Oncology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Zhengbo Song *Department of Medical Oncology, Cancer Hospital of University of Chinese Academy of Sciences; Zhejiang Cancer Hospital, Hangzhou, China.
Wenjie Jiao *Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao, China.
Lianxin Zhu *Medical College of Nanchang University, Nanchang, China.
Qinghua HuangDepartment of Breast Surgery, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China.
Chaolun AnDepartment of Thoracic Surgery, Nantong Third People's Hospital Nantong University, Nantong, China.
Jianguang ShiDepartment of Thoracic Surgery, Ningbo First Hospital of Zhejiang University, Ningbo, China.
Guiping YuDepartment of Thoracic Surgery, Affiliated Jiangyin Hospital of Southeast University, Jiangyin, China.
Pingli SunDepartment of Pathology Department, The Second Hospital of Jilin University, Changchun, China.
Yinbin ZhangDepartment of Thoracic Surgery, The Second Affiliated Hospital of Medical College, Xi'an Jiaotong University, Xi'an, China.
Jianfei ShenDepartment of Thoracic Surgery, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Taizhou, China.
Chunwei XuDepartment of Respiratory Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Suqian Hospital of Chinese Medicine, 9 Hongzehu Dong Road, Suqian, 223800, Jiangsu, China. xuchunweibbb@163.com.
Han YangDepartment of Thoracic Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, China. yanghan@sysucc.org.cn.
Qian WangDepartment of Respiratory Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Suqian Hospital of Chinese Medicine, 9 Hongzehu Dong Road, Suqian, 223800, Jiangsu, China. wangqian1978@njucm.edu.cn.
Zhihua Zhu *Department of Thoracic Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, China. zhuzhh@sysucc.org.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRadical resection plus lymph node dissection is a common treatment for patients with T MATERIALS AND

methodsThis study involved 3002 patients with T

resultsAge, sex, histological classification, pathological T stage, and HI standard were independent factors for OS and were included in our nomogram. The C-index of the nomogram for OS estimates were 0.671 (95% CI, 0.637-0.705),0.632 (95% CI, 0.581-0.683), and 0.645 (95% CI, 0.617-0.673) in the training cohorts, internal validation cohorts, and external validation cohort, respectively. The calibration plots and DCA for predictions of OS were in excellent agreement. An online version of the nomogram was built for convenient clinical practice.

conclusionsOur nomogram can predict the OS of patients with T

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsHumansNomogramsPrognosisCurative resectionNomogramNon-small cell lung cancer

Identifiers

PMID37525124
PMCPMC10391852

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.