Evidence map›Paper›PMID 37699000›Full record

ArticleEuropean journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery2023

Prognostic assessment of lung adenocarcinoma patients with early-staging diseases: a nomogram based on coagulation-related factors.

Lei-Lei Wu, Wei-Kang Lin, Jia-Yi Qian, Shang-Shang Ma, Ming-Jun Li, Kun Li, Zhi-Xin Li, Gang Lan, Dong Xie

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Article in European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Lei-Lei WuDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Wei-Kang LinDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Jia-Yi QianDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Shang-Shang MaDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Ming-Jun LiDepartment of Thoracic Disease Center, Zhejiang Rongjun Hospital, Jiaxing, China.
Kun LiDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Zhi-Xin LiDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Gang LanDepartment of Thoracic Disease Center, Zhejiang Rongjun Hospital, Jiaxing, China.
Dong XieDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.ORCID 0000-0002-3715-1801

Funding

National Natural Science Foundation of China 82272943Science and Technology Commission of Shanghai Municipality 21Y11913400Shanghai ShenKang Hospital Development Centre SHDC22020218
6 · The paper itself

Abstract

objectivesEarly-stage lung adenocarcinoma (ADC) has a great heterogeneity in prognosis that is difficult to evaluate effectively. Thus, we developed and validated an effective nomogram prognostic model based on the clinical and laboratory characteristics of stage I-IIA ADC.

methodsWe included 1585 patients with pathologically diagnosed stage I-IIA ADC who underwent surgery at Shanghai Pulmonary Hospital. The nomogram was constructed based on the peripheral blood test and coagulation test indicators and evaluated using Calibration plots, concordance index, decision curve analysis and the X-tile software. Recurrence-free survival (RFS) and overall survival (OS) were estimated by the Kaplan-Meier method and the Cox proportional hazard regression model. The primary end point of this study was RFS.

resultsThrombin time and 4 clinical indicators for RFS were integrated into nomograms. A favourable agreement between the nomogram prediction and validation was observed in the calibration curves for RFS probabilities. The concordance index of the nomogram to predict RFS was 0.736 (95% confidence interval, 0.717-0.755). Moreover, significant differences were shown between the high-risk and low-risk groups in RFS and OS (P < 0.001) after effective cut-off values of risk points were found based on the nomogram.

conclusionsWe established and validated a prognostic nomogram including thrombin time to predict RFS and OS of stage I-IIA ADC patients. This nomogram provided an effective prediction ability for the prognosis of stage I-IIA ADC patients.

Indexed as

Adenocarcinoma of LungLung NeoplasmsChinaHumansNeoplasm StagingNomogramsPrognosisEarly-stage adenocarcinomaNomogramPrognosisThrombin time

Identifiers

PMID37699000

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