Evidence map›Paper›PMID 36652925›Full record

ArticleMedical principles and practice : international journal of the Kuwait University, Health Science Centre2023

Effect of Chemotherapy in Stage II-IV Large-Cell Lung Carcinoma and Construction of Its Predictive Nomograms: A SEER Analysis.

Guoyan Hu, Yane Liu, Xinwei Li, Mengdi Jin, Xiangyu Liu, Qiong Yu

Open access · diamondAbstract read
In one paragraph

Article in Medical principles and practice : international journal of the Kuwait University, Health Science Centre, 2023. 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
0.5field-weighted citation impact, top 32% 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

6 authors at 2 institutions in 2 countries.

Guoyan HuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Yane LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Xinwei LiDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Mengdi JinDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Xiangyu LiuThe Faculty of Science and Engineering, Statistics, University of Nottingham, University Park, Nottingham, UK.
Qiong YuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Jilin University · CNUniversity of Nottingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesLarge-cell lung carcinoma (LCLC) is generally poorly differentiated with a poor prognosis. This study aimed to explore the impact of chemotherapy on the prognosis of patients with stage II-IV LCLC and to construct nomograms to predict overall survival (OS) and cancer-specific survival (CSS).

methodsPropensity score matching analysis was used to balance the effects of baseline characteristics. The Kaplan-Meier method was used to analyze the prognostic impact of chemotherapy on LCLC patients. Cox regression analysis was used to identify prognostic risk factors, and then nomograms were constructed and validated.

resultsOverall, we identified 2,532 patients with LCLC from the Surveillance, Epidemiology, and End Results (SEER) database. The chemotherapy group showed better OS and CSS compared to the non-/unknown chemotherapy group for stage II-IV LCLC patients (p < 0.05). Two nomograms were plotted based on the results of Cox regression analysis. The areas under the curves (AUCs) of 1-, 3-, and 5-year OS were 0.786, 0.824, and 0.837, and the AUCs of CSS were 0.785, 0.821, and 0.836, respectively. The calibration curves showed excellent agreement between the prediction and the actual observation, and the decision curve analysis demonstrated good clinical utility.

conclusionsChemotherapy could improve the prognosis among stage II-IV LCLC patients. In addition, the nomograms showed good predictive ability, which could be useful in making clinical decisions.

Indexed as

Antineoplastic AgentsCarcinoma, Large CellLung NeoplasmsAgedAged, 80 and overCarcinoma, Non-Small-Cell LungFemaleHumansMaleMiddle AgedNeoplasm StagingNomogramsPrognosisTreatment OutcomeAntineoplastic AgentsChemotherapyLarge-cell lung carcinomaNomogramSEER database

Identifiers

PMID36652925
PMCPMC10267498
OpenAlexW4317355170

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.