Evidence map›Paper›PMID 39118382›Full record

ArticleThe clinical respiratory journal2024

Nomogram for Predicting Efficacy and Prognosis After Chemotherapy for Advanced NSCLC.

Jiaying Gao, Yandong Nan, Gang Liu, Shihong Zhao, Huanqing Xiong, Yifeng Wang, Faguang Jin

Abstract read
In one paragraph

Article in The clinical respiratory journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 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.

Jiaying GaoDepartment of Respiration, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi, China.ORCID https://orcid.org/0009-0003-7561-4058
Yandong NanDepartment of Respiration, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi, China.
Gang LiuDepartment of Respiration, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi, China.
Shihong ZhaoDepartment of Respiration, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi, China.
Huanqing XiongDepartment of Respiration, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi, China.
Yifeng WangDepartment of Respiration, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi, China.
Faguang JinDepartment of Respiration, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi, China.

Funding

National Special Research Fund for Non-Profit Sector 201402024
6 · The paper itself

Abstract

purposeOne major issue is the therapeutic effect following chemotherapy for non-small cell lung cancer (NSCLC). Although numerous risk factors have been identified and novel therapies have been developed, improving patient overall survival (OS) remains a crucial postoperative issue. This study aimed to develop a nomogram for accurately predicting the OS of patients with Stage III-IV NSCLC treated with chemotherapy.

methodsThe Department of Respiration at Tangdu Hospital, Air Force Medical University, prospectively collected data on 321 patients between January 2018 and December 2023. A week before treatment, the platelet-to-lymphocyte ratio (PLR), the neutrophil-to-lymphocyte ratio (NLR), and seven autoantibodies were measured using Youden's index, which was obtained using the ROC curve. The formula was used to compute the values of PLR and NLR. After using multifactor Cox regression analysis to identify risk factors, a nomogram was produced regarding the therapeutic effect following chemotherapy. The performance of the nomogram was assessed using a bootstrapped-concordance index and calibration plots.

resultIt was determined that NLR, sex-determining region Y-box 2 (SOX2), adenosine triphosphate binding RNA deconjugase 4-5 (GBU4-5), and MAGE family member A1 (MAGEA1) were significantly associated factors that could be combined to accurately predict the therapeutic effect following chemotherapy. Utilizing these risk indicators, we were able to develop a nomogram that predicted the patients' survival at 1, 3, and 5 years. At 3 years, the area under the curve representing the expected survival probability was 0.762 (95% confidence interval 0.66-0.87). With a bootstrapped-concordance index of 0.762, the nomogram demonstrated good calibration.

conclusionsOur nomogram proved to be a valuable instrument in accurately predicting the overall survival of patients.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsNomogramsAgedFemaleHumansLymphocytesMaleMiddle AgedNeoplasm StagingNeutrophilsPrognosisProspective StudiesRisk FactorsROC CurveSurvival Rate7‐AAbschemotherapyNLRPLRprognosis

Identifiers

PMID39118382
PMCPMC11310410

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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.