Evaluation of the diagnostic accuracy of bronchial brushing cytology in lung cancer: A meta‐analysis

2021 ◽  
Author(s):  
Cheng‐Chieh Chen ◽  
Chyi‐Huey Bai ◽  
Kang‐Yun Lee ◽  
Yu‐Ting Chou ◽  
Shien‐Tung Pan ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Diagnostic Accuracy ◽  
Meta Analysis ◽  
Bronchial Brushing ◽  
Brushing Cytology

scholarly journals Diagnostic accuracy in lung cancer and reliability of cell typing using bronchial brushing cytology and bronchial forceps biopsy.

Haigan ◽  
1986 ◽  
Vol 26 (2) ◽  
pp. 185-194
Author(s):  
Minoru Matsuda ◽  
Takeshi Horai ◽  
Shinichiro Nakamura ◽  
Hiroshi Nishio ◽  
Takahiko Sakuma ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Diagnostic Accuracy ◽  
Forceps Biopsy ◽  
Bronchial Brushing ◽  
Brushing Cytology ◽  
Cell Typing

scholarly journals The Diagnostic Accuracy of HE4 in Lung Cancer: A Meta-Analysis

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Daye Cheng ◽  
Ying Sun ◽  
Hu He
Keyword(s):  
Lung Cancer ◽  
Diagnostic Accuracy ◽  
Likelihood Ratio ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Large Sample Size ◽  
Summary Receiver Operating Characteristic ◽  
Diagnosis Of Lung Cancer

The diagnostic value of serum HE4 in patients with lung cancer remains controversial. Thus, we performed a systematic review and meta-analysis to assess the diagnostic accuracy of serum HE4 for lung cancer. We conducted a comprehensive literature search in PubMed, EMBASE, Chinese National Knowledge Infrastructure (CNKI), and WANFANG databases between Jan. 1966 and Nov. 2014. The diagnostic sensitivity (SEN), specificity (SPE), positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and summary receiver operating characteristic curve (SROC) were pooled by Meta-DiSc 1.4 software. A total of seven articles including 715 cases and 549 controls were included for analysis. The summary estimates for serum HE4 in the diagnosis of lung cancer in these studies were pooled SEN 0.72 (95% CI: 0.68–0.75), SPE 0.85 (95% CI: 0.81–0.88), PLR 4.68 (95% CI: 3.23–6.78), NLR 0.31 (95% CI: 0.24–0.39), and DOR 17.14 (95% CI: 9.72–30.20), and the area under the curve (AUC) was 0.8557. This meta-analysis indicated that serum HE4 is a potential tool in the diagnosis of lung cancer. In addition, considering the high heterogeneity and potential publication bias, further studies with rigorous design and large sample size are needed in the future.

scholarly journals Bronchial brushing and bronchial biopsy: comparison of diagnostic accuracy and cell typing reliability in lung cancer.

Thorax ◽  
1986 ◽  
Vol 41 (6) ◽  
pp. 475-478 ◽  
Author(s):  
M Matsuda ◽  
T Horai ◽  
S Nakamura ◽  
H Nishio ◽  
T Sakuma ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Diagnostic Accuracy ◽  
Bronchial Biopsy ◽  
Bronchial Brushing ◽  
Cell Typing

scholarly journals Diagnostic Value of Autoantibodies in Lung Cancer: a Systematic Review and Meta-Analysis

2018 ◽  
Vol 51 (6) ◽  
pp. 2631-2646 ◽  
Author(s):  
Jiangyue Qin ◽  
Ni Zeng ◽  
Ting Yang ◽  
Chun Wan ◽  
Lei Chen ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Diagnostic Accuracy ◽  
Test Performance ◽  
Meta Analysis ◽  
Cyclin B1 ◽  
Diagnostic Value ◽  
Likelihood Ratios ◽  
Summary Receiver Operating Characteristic ◽  
Mixed Effect ◽  
Sensitivity Specificity

Background/Aims: Recently, many studies have demonstrated that various tumor-associated autoantibodies have been detected in early stages of lung cancer. Therefore, we conducted a meta-analysis to comprehensively evaluate available evidence on the diagnostic value of autoantibodies against tumor-associated antigens in lung cancer. Methods: We systematically searched PubMed, Scopus, Web of Science and other databases through 23 March 2018. Study quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2. We used the bivariate mixed-effect models to calculate pooled values of sensitivity, specificity, positive likelihood ratios, negative likelihood ratios, diagnostic odds ratios and associated 95% confidence intervals. Summary receiver operating characteristic (SROC) curves were used to summarize overall test performance. Deek’s funnel plot was used to detect publication bias. Results: Review of 468 candidate articles identified fifty-three articles with a total of 11,515 patients for qualitative review and meta-analysis. Pooled sensitivity, specificity and area under the SROC curve were as follows for tumor-associated autoantibodies against the following proteins: p53, 0.19, 0.98, 0.82; NY-ESO-1, 0.17, 0.98, 0.90; Survivin, 0.19, 0.99, 0.96; c-myc, 0.14, 0.98, 0.45; Cyclin B1, 0.18, 0.98, 0.91; GBU4-5, 0.07, 0.98, 0.91; CAGE, 0.14, 0.98, 0.90; p16, 0.08, 0.97, 0.91; SOX2, 0.14, 0.99, 0.93; and HuD, 0.17, 0.99, 0.82. Conclusion: Each tumor-associated autoantibody on its own showed excellent diagnostic specificity for lung cancer but inadequate sensitivity. Our results suggest that combinations or panels of tumor-associated autoantibodies may provide better sensitivity for diagnosing lung cancer, and the diagnostic accuracy of tumor-associated autoantibodies should be validated in more studies.

scholarly journals Role of circulating tumor cells in diagnosis of lung cancer: a systematic review and meta-analysis

2021 ◽  
Vol 49 (3) ◽  
pp. 030006052199492
Author(s):  
Qingtao Zhao ◽  
Zheng Yuan ◽  
Huien Wang ◽  
Hua Zhang ◽  
Guochen Duan ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Diagnostic Accuracy ◽  
Tumor Cells ◽  
Circulating Tumor Cells ◽  
Meta Analysis ◽  
False Negative ◽  
Cochrane Library ◽  
True Negative ◽  
Clinical Determination

Objective We systematically reviewed the literature relating to the diagnostic accuracy of circulating tumor cells (CTCs) for the clinical determination of lung cancer. Methods This meta-analysis aimed to evaluate the diagnostic accuracy of CTCs for the clinical determination of lung cancer. The PubMed, Embase, Cochrane Library, and Web of Science databases were searched for relevant studies up to 31 May 2020. The numbers of patients with true positive, false positive, false negative, and true negative results were extracted from each individual study. Pooled sensitivity, specificity, and area under the curve values were calculated with 95% confidence intervals (CI). Results Twenty-one studies with 3997 subjects met the inclusion criteria. The overall diagnostic accuracy was assessed. The pooled sensitivity and specificity were 0.72 (95%CI: 0.65–0.79) and 0.96 (95%CI: 0.91–0.98), respectively, and the pooled positive and negative likelihood ratios were 16.86 (95%CI: 7.65–37.12) and 0.29 (95%CI: 0.23–0.37), respectively. The combined diagnostic odds ratio was 58.12 (95%CI: 24.82–136.09). Conclusion This meta-analysis indicated that CTCs had good diagnostic value for detecting lung cancer.

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