Evidence map›Paper›PMID 37466041›Full record

ArticleThe clinical respiratory journal2025

Nomogram predicting overall survival of stage IIIB non-small-cell lung cancer patients based on the SEER database.

Ziye Li, Pingfan Shi, Chenge Qin, Wen Zhang, Shumeng Lin, Tiansheng Zheng, Ming Li, Lihong Fan

Abstract read
In one paragraph

Article in The clinical respiratory journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

8 authors.

Ziye LiIntegrated Chinese and Western Medicine Pulmonary Nodules Center, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.ORCID https://orcid.org/0009-0006-7816-5341
Pingfan ShiIntegrated Chinese and Western Medicine Pulmonary Nodules Center, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.ORCID https://orcid.org/0000-0003-4690-6839
Chenge QinIntegrated Chinese and Western Medicine Pulmonary Nodules Center, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Wen ZhangIntegrated Chinese and Western Medicine Pulmonary Nodules Center, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Shumeng LinIntegrated Chinese and Western Medicine Pulmonary Nodules Center, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Tiansheng ZhengIntegrated Chinese and Western Medicine Pulmonary Nodules Center, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Ming LiIntegrated Chinese and Western Medicine Pulmonary Nodules Center, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.ORCID https://orcid.org/0000-0003-1066-6175
Lihong FanIntegrated Chinese and Western Medicine Pulmonary Nodules Center, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.

Funding

Shanghai TCM-integrated innovative flagship hospital ZXXT-202203Shanghai TCM-integrated innovative flagship hospital ZY(2021-2023)-0205-05
6 · The paper itself

Abstract

purposeWe aimed to evaluate the prognostic value of stage IIIB non-small-cell (NSCLC) lung cancer patients and to construct a nomogram to effectively predict their overall survival (OS).

methodsIn total, 4323 patients with stage IIIB NSCLC diagnosed between 1975 and 2018 were selected from the Surveillance, Epidemiology, and End Results (SEER) database. Multiple prognostic factors were combined to construct a nomogram for predicting OS of patients with stage IIIB NSCLC. The discrimination and calibration of the nomogram were evaluated by C-indexes and calibration curves. The nomogram was evaluated for predictive ability using receiver operating characteristic (ROC) curves, decision curve analysis curve (DCA), and clinical impact curve (CIC).

resultsThe nomogram was built on data of 4323 patients with stage IIIB NSCLC and consisted of the following prognostic factors: age, race, sex, primary labeled, pathology, T stage, whether to receive surgery, whether to receive radiotherapy, and whether to receive chemotherapy. The C-index in the training and validation sets for the nomogram was 0.672 (95% CI: 0.661-0.683) and 0.675 (95% CI: 0.656-0.694), respectively. According to scores of the nomogram, patients in the complete set, validation set, and training set were classified into two risk groups, low risk and high risk.

conclusionsWe developed the first validated nomogram to estimate the OS of patients with stage IIIB NSCLC. The nomogram was based on nine prognostic factors and provided an individualized risk estimate of 3-year and 5-year OS survival in patients with stage IIIB NSCLC.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsNomogramsAdultAgedFemaleHumansMaleMiddle AgedNeoplasm StagingPrognosisRetrospective StudiesROC CurveSEER ProgramSurvival RateUnited Statesnomogramnon‐small‐cell lung canceroverall survivalprognosisstage IIIBthe Surveillance, Epidemiology, and End Results (SEER) database

Identifiers

PMID37466041
PMCPMC11931320

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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.