Evidence map›Paper›PMID 37324285›Full record

ArticleIndian journal of surgical oncology2023

Nomogram Predicting the Prognosis of Patients with Surgically Resected Stage IA Non-small Cell Lung Cancer.

Xu-Feng Deng, Yin Dai, Xiao-Qing Liu, Huang-Zhi Qi, Dong Zhou, Hong Zheng, Jiang Li, Quan-Xing Liu

Abstract read
In one paragraph

Article in Indian journal of surgical oncology, 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
–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

1 citing paper in PubMed.

  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

8 authors.

Xu-Feng Deng *Department of Thoracic Surgery, Xinqiao Hospital, Army Medical University, Third Military Medical University), Chongqing, 400037 China.
Yin Dai *Department of Information, Xinqiao Hospital, Army Medical University, Third Military Medical University), Chongqing, 400037 China.
Xiao-Qing LiuDepartment of Thoracic Surgery, Xinqiao Hospital, Army Medical University, Third Military Medical University), Chongqing, 400037 China.
Huang-Zhi QiDepartment of Thoracic Surgery, Xinqiao Hospital, Army Medical University, Third Military Medical University), Chongqing, 400037 China.
Dong ZhouDepartment of Thoracic Surgery, Xinqiao Hospital, Army Medical University, Third Military Medical University), Chongqing, 400037 China.
Hong ZhengDepartment of Thoracic Surgery, Xinqiao Hospital, Army Medical University, Third Military Medical University), Chongqing, 400037 China.
Jiang LiDepartment of Thoracic Surgery, Xinqiao Hospital, Army Medical University, Third Military Medical University), Chongqing, 400037 China.
Quan-Xing LiuDepartment of Thoracic Surgery, Xinqiao Hospital, Army Medical University, Third Military Medical University), Chongqing, 400037 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The American Joint Committee on Cancer (AJCC) 8th stage system was limited in accuracy for predicting prognosis of stage IA non-small cell lung cancer (NSCLC) patients. This study aimed to establish and validate two nomograms that predict overall survival (OS) and lung cancer-specific survival (LCSS) in surgically resected stage IA NSCLC patients. Postoperative patients with stage IA NSCLC in SEER database between 2004 and 2015 were examined. Survival and clinical information according to the inclusion and exclusion criteria were collected. All patients were randomly divided into the training cohort and validation cohort with a ratio of 7:3. Independent prognosis factors were evaluated using univariate and multivariate Cox regression analyses, and predictive nomogram was established based on these factors. Nomogram performance was measured using the C-index, calibration plots, and DCA. Patients were grouped by quartiles of nomogram scores and survival curves were plotted by Kaplan-Meier analysis. In total, 33,533 patients were included in the study. The nomogram contained 12 prognostic factors in OS and 10 prognostic factors in LCSS. In the validation set, the C-index was 0.652 for predicting OS and 0.651 for predicting LCSS. The calibration curves for the nomogram-predicted probability of OS and LCSS showed good agreement between the actual observation and nomogram prediction. DCA indicated that the clinical value of the nomograms were higher than AJCC 8th stage for predicting OS and LCSS. Nomogram scores related risk stratification revealed statistically significant difference which have better discrimination than AJCC 8th stage. The nomogram can accurately predict OS and LCSS in surgically resected patients with stage IA NSCLC. Supplementary Information: The online version contains supplementary material available at 10.1007/s13193-022-01700-w.

Indexed as

NomogramNon-small cell lung cancerPrognosisSEER

Identifiers

PMID37324285
PMCPMC10267051

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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.