This PubMed record describes a study titled "Development of a Prognostic Survival Risk Score for Lung Cancer Patients With Type 2 Diabetes Mellitus: A Territory‑Wide Retrospective Cohort Study." The work was published in Cancer Medicine (2026 Sep;15[9]:e72164) and is indexed with PubMed ID 42655935 and DOI 10.1002/cam4.72164. The study objective, as reflected in the title, was to develop a prognostic survival risk score specifically for patients with concurrent lung cancer and type 2 diabetes mellitus (T2DM) using a territory‑wide retrospective cohort approach.
The listed authors include Claire Chenwen Zhong, Junjie Huang, Zhaojun Li, Yu Jiang, Zehuan Yang, Jinqiu Yuan, Xiaodan Huang, Xiaofang Liu, Han Wang, Jonathan Poon, Qi Dou, Arthur Sung, and Martin C S Wong. Affiliations span multiple institutions: The Jockey Club School of Public Health and Primary Care and Centre for Health Education and Health Promotion at The Chinese University of Hong Kong; Clinical Research Center & Big Data Center at The Seventh Affiliated Hospital, Sun Yat‑sen University; State Key Laboratory of Oncology in South China and Sun Yat‑sen University Cancer Center; Institute of Robotics and Automatic Information Systems, Nankai University; Department of Gastroenterology, Tongji Hospital, Huazhong University of Science and Technology; Information Technology and Health Informatics Division, Hospital Authority (Hong Kong); Department of Computer Science and Engineering, CUHK; and the Division of Pulmonary, Allergy and Critical Care Medicine at Stanford University School of Medicine.
The PubMed entry includes links to a Wiley full‑text option and the free PMC article.
From the article title and PubMed record, the study used a territory‑wide retrospective cohort design to develop a prognostic model for survival among patients with lung cancer and T2DM. The record indicates a multidisciplinary team and involvement of health informatics and big data resources, consistent with an analysis conducted on large administrative or clinical datasets at a territorial scale.
The PubMed entry provides direct links to the free full text on PubMed Central (PMCID PMC13519287) and to the Wiley publisher page. These links should be followed to obtain complete methodological details, numeric results, model specification, performance metrics, tables, figures, and any supplementary material.
The PubMed page excerpted here supplies bibliographic metadata and author/affiliation information but does not include key elements of the study methods or results in the visible content. Specifically, the following study details are not reported in this PubMed excerpt and therefore cannot be restated from this source:
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The title indicates the study aims to produce a survival risk score tailored to patients with lung cancer and type 2 diabetes mellitus, a clinically relevant subgroup given the interaction between cancer prognosis and comorbid chronic disease. The territory‑wide retrospective cohort design and the multidisciplinary author team (including clinical, informatics, oncology, and computational expertise) suggest the analysis likely leveraged large, linked health datasets and applied statistical or machine‑learning methods to derive a prognostic tool. However, specific claims about the score’s predictive accuracy, clinical utility, or readiness for practice cannot be made from the PubMed metadata alone.
Limitations of the study itself are not reported in the PubMed excerpt. Limitations of the information available here include the absence of the abstract and methods/results in the presented record. Therefore, critical appraisal (risk of bias, generalizability, potential for overfitting, handling of missing data, and external validation) requires consulting the full article.
The PubMed entry provides a PMCID (PMC13519287) indicating a free full‑text version is available on PubMed Central; the entry also links to the Wiley publisher page. To review study design, analytic methods, results, figures, tables, and any supplementary data or code, open the PMC link or the Wiley full‑text link in the PubMed record.
Note: This summary is limited to the bibliographic and navigational information available in the provided PubMed record. Specific methodological details, numeric results, and conclusions reported by the authors are not included because they were not present in the source excerpt and must be obtained from the article full text.