Evidence map›Paper›PMID 42723745›Full record

ArticleTranslational lung cancer research2026

Predictive modeling of peripheral blood EGFR positivity in patients with advanced primary non-small cell lung cancer.

Ying-Bo Xie, Yi-Ke Wang, Xuan Yao, Kelan Ke, Pei Ma, Feng-Nan Wang, Qin Liu, Xiao-Hong Xie, Ming Liu, Xin-Qing Lin and 2 more

Abstract read
In one paragraph

Article in Translational lung cancer research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Ying-Bo Xie *Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, National Clinical Research Centre for Respiratory Disease, Guangzhou, China.ORCID https://orcid.org/0009-0001-4253-3193
Yi-Ke Wang *Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, National Clinical Research Centre for Respiratory Disease, Guangzhou, China.
Xuan YaoDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, National Clinical Research Centre for Respiratory Disease, Guangzhou, China.
Kelan KeDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, National Clinical Research Centre for Respiratory Disease, Guangzhou, China.
Pei MaDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, National Clinical Research Centre for Respiratory Disease, Guangzhou, China.
Feng-Nan WangDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, National Clinical Research Centre for Respiratory Disease, Guangzhou, China.
Qin LiuDepartment of Medical Imaging, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Xiao-Hong XieDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, National Clinical Research Centre for Respiratory Disease, Guangzhou, China.
Ming LiuDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, National Clinical Research Centre for Respiratory Disease, Guangzhou, China.
Xin-Qing LinDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, National Clinical Research Centre for Respiratory Disease, Guangzhou, China.
Cheng-Zhi ZhouDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, National Clinical Research Centre for Respiratory Disease, Guangzhou, China.
Zhan-Hong XieDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, National Clinical Research Centre for Respiratory Disease, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lung cancer is the leading cause of cancer-related mortality worldwide, with non-small cell lung cancer (NSCLC) accounting for approximately 85% of cases. Epidermal growth factor receptor ( Methods: A retrospective case-control study design was employed. Data were collected from 384 patients with NSCLC who were hospitalized at The First Affiliated Hospital of Guangzhou Medical University between June 2018 and September 2024 and met the study's inclusion criteria. The patients were categorized into two groups: the peripheral blood Results: The results of multi-factor analysis showed that gender, smoking status, pulmonary lymphangitic carcinomatosis, non-vertebral bone metastasis, brain metastasis, and liver metastasis were independent factors for the prediction of EGFR positivity in peripheral blood (P<0.05). The receiver operating characteristic (ROC) curve analysis of predicted peripheral blood Conclusions: The Gspnbl score demonstrates good predictive performance in identifying patients with a high probability of peripheral blood

Indexed as

logistic regressionNon-small cell lung cancer (NSCLC)peripheral blood EGFRpoints-scoring systemprimary treatment

Identifiers

PMID42723745
PMCPMC13557858

What Socratic holds

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Registered trials

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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 Socratic graph.