Evidence map›Paper›PMID 34012578›Full record

ArticleJournal of thoracic disease2021

Dynamic nomogram for long-term survival in patients with non-small cell lung cancer after pneumonectomy.

Zi-Ming Wang, Marc Swierzy, Dany Balke, Dania Nachira, Diego González-Rivas, Harun Badakhshi, Mahmoud Ismail

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

7 authors.

Zi-Ming WangDepartment of Thoracic Surgery, Klinikum Ernst von Bergmann Potsdam, Academic Hospital of the Charité-Universitätsmedizin Humboldt University Berlin, Potsdam, Germany.
Marc SwierzyDepartment of Thoracic Surgery, Klinikum Ernst von Bergmann Potsdam, Academic Hospital of the Charité-Universitätsmedizin Humboldt University Berlin, Potsdam, Germany.
Dany BalkeDepartment of Thoracic Surgery, Klinikum Ernst von Bergmann Potsdam, Academic Hospital of the Charité-Universitätsmedizin Humboldt University Berlin, Potsdam, Germany.
Dania NachiraDepartment of General Thoracic Surgery, Fondazione Policlinico Universitario "A. Gemelli", Rome, Italy.
Diego González-RivasDepartment of Thoracic Surgery, Klinikum Ernst von Bergmann Potsdam, Academic Hospital of the Charité-Universitätsmedizin Humboldt University Berlin, Potsdam, Germany.
Harun BadakhshiDepartment of Radiation Oncology, Klinikum Ernst von Bergmann Potsdam, Academic Hospital of the Charité-Universitätsmedizin Humboldt University Berlin, Potsdam, Germany.
Mahmoud IsmailDepartment of Thoracic Surgery, Klinikum Ernst von Bergmann Potsdam, Academic Hospital of the Charité-Universitätsmedizin Humboldt University Berlin, Potsdam, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe study aims to identify prognostic factors of overall survival (OS) in patients who had pneumonectomy, in order to develop a practical dynamic nomogram model.

methodsA total of 2,255 patients with non-small cell lung cancer (NSCLC) who underwent pneumonectomy were identified from 2010-2015 in the Surveillance, Epidemiology, and End Results (SEER) database. The cohort was divided into a training (2011-2015) and a validation [2010] cohort. A nomogram and a risk classification system were constructed from the independent survival factors in multivariable analysis. The predictive accuracy of the nomogram was measured through internal and external validation.

resultsIndependent prognostic factors associated with OS were gender, age, pathology, tumor size, N stage, chemotherapy, and radiotherapy. The C-index of the nomogram for OS was 0.675 (95% CI: 0.655-0.694). Similarly, the AUC of the model was 0.733, 0.709, and 0.701 for the 1-, 3-, and 5-year OS, respectively. The calibration curves for survival demonstrated good agreement. Significant statistical differences were found in the OS of patients within different risk groups. An online calculation tool was established for clinical use.

conclusionsThis novel nomogram was able to provide a reliable prognosis for survival in patients with NSCLC undergoing pneumonectomy.

Indexed as

Nomogramnon-small cell lung cancer (NSCLC)pneumonectomyprognosis

Identifiers

PMID34012578
PMCPMC8107554

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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.