Evidence map›Paper›PMID 39815214›Full record

ArticleBMC cancer2025

Clinical and imaging features of co-existent pulmonary tuberculosis and lung cancer: a population-based matching study in China.

Fan Zhang, Fei Qi, Yi Han, Hongjie Yang, Yishuo Wang, Guirong Wang, Yujie Dong, Hongxia Li, Yuan Gao, Hongmei Zhang and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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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

12 authors.

Fan Zhang *Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, P.R. China.
Fei Qi *General Department, Capital Medical University, Beijing, 101149, P.R. China.
Yi HanGeneral Department, Capital Medical University, Beijing, 101149, P.R. China.
Hongjie YangGeneral Department, Capital Medical University, Beijing, 101149, P.R. China.
Yishuo WangGeneral Department, Capital Medical University, Beijing, 101149, P.R. China.
Guirong WangDepartment of Clinical Laboratory, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
Yujie DongDepartment of Pathology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis Thoracic Tumor Research Institute, Beijing, China.
Hongxia LiGeneral Department, Capital Medical University, Beijing, 101149, P.R. China.
Yuan GaoGeneral Department, Capital Medical University, Beijing, 101149, P.R. China.
Hongmei ZhangGeneral Department, Capital Medical University, Beijing, 101149, P.R. China.
Tongmei ZhangGeneral Department, Capital Medical University, Beijing, 101149, P.R. China. Tongmeibj@163.com.
Liang LiDepartment of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, P.R. China. liliang69@vip.sina.com.

Funding

Beijing Hospitals Authority Ascent Plan DFL20221401Beijing Municipal Public Welfare Development and Reform Pilot Project for Medical Research Institutes JYY2023-14
6 · The paper itself

Abstract

backgroundCo-existent pulmonary tuberculosis and lung cancer (PTB-LC) represent a unique disease entity often characterized by missed or delayed diagnosis. This study aimed to investigate the clinical and radiological features of patients diagnosed with PTB-LC.

methodsPatients diagnosed with active PTB-LC (APTB-LC), inactive PTB-LC (IAPTB), and LC alone without PTB between 2010 and 2022 at our institute were retrospectively collected and 1:1:1 matched based on gender, age, and time of admission. Symptoms and clinicopathological features were compared among the three groups of patients. Logistic regression was employed for risk factor analysis.

resultsCompared to LC or IAPTB-LC, patients with APTB-LC exhibited higher proportions of weight loss (p < 0.001) and fever (p < 0.001) at the time of diagnosis. Additionally, radiological features such as nodules (p = 0.007), tree-in-bud (p < 0.001), cavitation (p < 0.001), and calcification (p < 0.001) were significantly more prevalent in APTB-LC patients compared to the other groups. Patients with APTB-LC were more susceptible to lymph node involvement (p < 0.001) and distant metastasis (p = 0.006) compared to those with IAPTB-LC or LC alone. Additionally, in comparison to LC alone, patients with IAPTB-LC exhibited more complex symptoms, imaging features, and lymph node metastases. Logistic regression results indicated that factors such as BMI, fever, patchy shadow, cavitation, neck or supraclavicular lymph node metastasis, and liver injury favor the diagnosis of APTB-LC over LC alone. The pre-diagnostic model exhibited robust performance, achieving area under the curve (AUC) values of 0.864 in the training set and 0.830 in the test set.

conclusionOur results indicate that PTB-LC is a distinct disease characterized by complex clinicopathological features and a more aggressive nature. Based on our findings, we recommend conducting TB-related tests for LC patients who exhibit relevant risk factors or are identified as high-risk cases according to the pre-diagnostic model.

Indexed as

Lung NeoplasmsTuberculosis, PulmonaryAdultAgedChinaFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsTomography, X-Ray ComputedClinical featuresCT imagingLung cancerTNM stageTuberculosis

Identifiers

PMID39815214
PMCPMC11734471

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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 OpenQuestion graph.