Evidence map›Paper›PMID 33198777›Full record

Trial reportJournal of translational medicine2020

A prognostic model for elderly patients with squamous non-small cell lung cancer: a population-based study.

Siying Chen, Chunxia Gao, Qian Du, Lina Tang, Haisheng You, Yalin Dong

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.0field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 25 citations in OpenAlex.

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  15. Prognostic Impact ofCancers · 2022
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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

6 authors at 1 institution in 1 country.

Siying ChenDepartment of Pharmacy, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 of Yanta West Road, Xi'an, 710061, Shaanxi, China.
Chunxia GaoDepartment of Pharmacy, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 of Yanta West Road, Xi'an, 710061, Shaanxi, China.
Qian DuDepartment of Pharmacy, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 of Yanta West Road, Xi'an, 710061, Shaanxi, China.
Lina TangDepartment of Pharmacy, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 of Yanta West Road, Xi'an, 710061, Shaanxi, China.
Haisheng YouDepartment of Pharmacy, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 of Yanta West Road, Xi'an, 710061, Shaanxi, China. haishengyou77@163.com.
Yalin DongDepartment of Pharmacy, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 of Yanta West Road, Xi'an, 710061, Shaanxi, China. dongyalin@mail.xjtu.edu.cn.ORCID 0000-0001-5619-0788
First Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSquamous cell carcinoma (SCC) is a main pathological type of non-small cell lung cancer. It is common among elderly patients with poor prognosis. We aimed to establish an accurate nomogram to predict survival for elderly patients (≥ 60 years old) with SCC based on the Surveillance, Epidemiology, and End Results (SEER) database.

methodsThe gerontal patients diagnosed with SCC from 2010 to 2015 were collected from the Surveillance, Epidemiology, and End Results (SEER) database. The independent prognostic factors were identified using multivariate Cox proportional hazards regression analysis, which were utilized to conduct a nomogram for predicting survival. The novel nomogram was evaluated by Concordance index (C-index), calibration curves, net reclassification improvement (NRI), integrated discrimination improvement (IDI), and decision curve analysis (DCA).

results32,474 elderly SCC patients were included in the analysis, who were randomly assigned to training cohort (n = 22,732) and validation cohort (n = 9742). The following factors were contained in the final prognostic model: age, sex, race, marital status, tumor site, AJCC stage, surgery, radiation and chemotherapy. Compared to AJCC stage, the novel nomogram exhibited better performance: C-index (training group: 0.789 vs. 0.730, validation group: 0.791 vs. 0.733), the areas under the receiver operating characteristic curve of the training set (1-year AUC: 0.846 vs. 0.791, 3-year AUC: 0.860 vs. 0.801, 5-year AUC: 0.859 vs. 0.794) and the validation set (1-year AUC: 0.846 vs. 0.793, 3-year AUC: 0.863 vs. 0.806, 5-year AUC: 0.866 vs. 0.801), and the 1-, 3- and 5-year calibration plots. Additionally, the NRI and IDI and 1-, 3- and 5-year DCA curves all confirmed that the nomogram was a great prognosis tool.

conclusionsWe constructed a novel nomogram that could be practical and helpful for precise evaluation of elderly SCC patient prognosis, thus helping clinicians in determining the appropriate therapy strategies for individual SCC patients.

Indexed as

Carcinoma, Non-Small-Cell LungCarcinoma, Squamous CellLung NeoplasmsAgedHumansMiddle AgedPrognosisSEER ProgramElderly patientsNomogramSquamous non-small cell lung cancerSurvival prediction

Identifiers

PMID33198777
PMCPMC7670679
OpenAlexW3105325180

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.