Systematic review and meta-analysis on the impact of lung cancer screening by low-dose computed tomography

Sadate, Alexandre; Occean, Bob-valery; Beregi, Jean‐Paul; Hamard, Aymeric; Addala, Takieddine; Forges, Hélène de; Fabbro‐Peray, Pascale; Frandon, Julien

doi:10.1016/j.ejca.2020.04.035

Cited by 60 publications

(42 citation statements)

References 26 publications

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“…With almost 19 million people expected to be diagnosed with cancer in 2020, cancer is one of the leading causes of death globally [8]. Cancer screening has been shown to reduce disease-specific mortality for a number of cancers [9][10][11][12], and as a result, many jurisdictions have implemented population-based screening programs [13,14]. However, screening participation remains suboptimal across jurisdictions and cancer types [13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Social Media and mHealth Technology for Cancer Screening: Systematic Review and Meta-analysis

et al. 2021

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Background Cancer is a leading cause of death, and although screening can reduce cancer morbidity and mortality, participation in screening remains suboptimal. Objective This systematic review and meta-analysis aims to evaluate the effectiveness of social media and mobile health (mHealth) interventions for cancer screening. Methods We searched for randomized controlled trials and quasi-experimental studies of social media and mHealth interventions promoting cancer screening (breast, cervical, colorectal, lung, and prostate cancers) in adults in MEDLINE, Embase, PsycINFO, Scopus, CINAHL, Cochrane Central Register of Controlled Trials, and Communication & Mass Media Complete from January 1, 2000, to July 17, 2020. Two independent reviewers screened the titles, abstracts, and full-text articles and completed the risk of bias assessments. We pooled odds ratios for screening participation using the Mantel-Haenszel method in a random-effects model. Results We screened 18,008 records identifying 39 studies (35 mHealth and 4 social media). The types of interventions included peer support (n=1), education or awareness (n=6), reminders (n=13), or mixed (n=19). The overall pooled odds ratio was 1.49 (95% CI 1.31-1.70), with similar effect sizes across cancer types. Conclusions Screening programs should consider mHealth interventions because of their promising role in promoting cancer screening participation. Given the limited number of studies identified, further research is needed for social media interventions. Trial Registration PROSPERO International Prospective Register of Systematic Reviews CRD42019139615; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=139615 International Registered Report Identifier (IRRID) RR2-10.1136/bmjopen-2019-035411

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Section: Introductionmentioning

confidence: 99%

Social Media and mHealth Technology for Cancer Screening: Systematic Review and Meta-analysis

et al. 2021

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“…Lung cancer is the leading malignant tumor threatening human health and accounts for 30% of total cancer deaths worldwide (1). Fortunately, early stage lung cancer can be detected via low-dose computed tomography (LDCT) screenings in high-risk patients, and the mortality of lung cancer rate is decreasing (2)(3)(4)(5). However, the large amounts of lung nodules detected by LDCT have become a new health problem for patients and continue to trouble physicians (6,7).…”

Section: Introductionmentioning

confidence: 99%

Discriminating invasive adenocarcinoma among lung pure ground-glass nodules: a multi-parameter prediction model

Hu¹,

Huang²,

Jiang³

et al. 2021

J Thorac Dis

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Background: Patients with consistent lung pure ground-glass nodules (pGGNs) have a high incidence of lung adenocarcinoma that can be classified as adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA), or invasive adenocarcinoma (IAC). Regular follow-up is recommended for AIS and MIA, while surgical resection should be considered for IAC. This study sought to develop a multi-parameter prediction model to increase the diagnostic accuracy in discriminating between IAC and AIS or MIA. Methods:The training data set comprised consecutive patients with lung pGGNs who underwent resection from January to December 2017 at the Zhongshan Hospital. Of the 370 resected pGGNs, 344 were pathologically confi rmed to be AIS, MIA, or IAC and were included in the study. The 26 benign pGGNs were excluded. We compared differences in the clinical features (e.g., age and gender), the content of serum tumor biomarkers, the computed tomography (CT) parameters (e.g., nodule size and the maximal CT value), and the morphologic characteristics of nodules (e.g., lobulation, spiculation, pleura indentation, vacuole sign, and normal vessel penetration or abnormal vessel) between the pathological subtypes of AIS, MIA, and IAC. An abnormal vessel was defi ned as "vessel curve" or "vessel enlargement". Statistical analyses were performed using the chi-square test, analysis of variance (ANOVA), and rank test. The IAC prediction model was constructed via a multivariate logistical regression. Our prediction model for lung pGGNs was further validated in a data set comprising consecutive patients from multiple medical centers in China from July to December 2018. In total, 345 resected pGGNs were pathologically diagnosed as lung adenocarcinoma in the validation data set.Results: In the training data set, patients with pGGNs ≥10 mm in size had a high incidence (74.5%) of IAC. The maximal CT value of IAC [-416.1±121.2 Hounsfi eld unit (HU)] was much higher than that of MIA (-507.7±138.0 HU) and AIS (-602.6±93.3 HU) (P<0.001). IAC was more common in pGGNs that displayed any of the following CT manifestations: lobulation, spiculation, pleura indentation, vacuole sign, and vessel abnormality. The IAC prediction model was constructed using the parameters that were assessed as risk factors (i.e., the nodule size, maximal CT value, and CT signs). The receiver operating characteristic

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“…A large number of lung cancer patients are admitted to hospital at an advanced stage of disease, who were in poor physical health when their cancer was confirmed, and this results in some of them not being suitable for curative surgeries and they have had to accept palliative chemoradiotherapy. However, early screenings have allowed more curative cases with the help of an active surgical strategy; 26,27 in addition, adjuvant therapy also helps to prolong the life span of lung cancer patients, especially those at an advanced stage of disease at diagnosis. 28 Until now, more efforts have been made to investigate antitumor treatment associated VTE in nonsurgical patients.…”

Section: Discussionmentioning

confidence: 99%

Dynamics of D‐dimer in non‐small cell lung cancer patients receiving radical surgery and its association with postoperative venous thromboembolism

Cui

Chen

et al. 2020

Thoracic Cancer

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Background Venous thromboembolism (VTE) occurs at a high rate after lung cancer surgery and can be attributed to various clinical risk factors. Here, we aimed to determine whether early detection of perioperative D‐dimer and risk‐stratified cutoff values would improve the diagnostic efficacy of VTE. Methods In this case‐control study, D‐dimer results were acquired from 171 non‐small cell lung cancer (NSCLC) patients preoperatively and at the first, third, and fifth day after surgery. VTE was confirmed by Doppler ultrasonography and computer tomography pulmonary angiography (CTPA). Repeated measures ANOVA was used to analyze how D‐dimer changed with time and the effects of risk factors on D‐dimer levels. We then compared sensitivity, specificity and negative predictive value, using both adjusted and unadjusted cutoff values. Results VTE occurred in 23 patients (13.5%) of the study population. D‐dimer levels increased unsustainably after lung cancer surgery (P < 0.001) due to a trough on the third day, and patients who had undergone thoracotomy (P < 0.001) and those at a more advanced tumor stage (P = 0.037) had higher D‐dimer levels. Area under the curve of D‐dimer was greatest on the third day (0.762 [P < 0.001, 95% CI: 0.643–0.882]). Applying stratified cutoff values improved the specificity in the video‐assisted thoracoscopy surgery (VATS) (P = 0.004) and thoracotomy groups (P < 0.001). Conclusions D‐dimer levels elevated with fluctuation in NSCLC patients after surgery. Surgical options and tumor stages had an impact on D‐dimer levels. With regard to VTE diagnosis, stratified cutoff values by these two factors showed better accuracy compared with a collective one.. Key points Significant findings of the study The changing pattern of perioperative D‐dimer levels in NSCLC patients who received surgical therapy in a major teaching hospital in Beijing, China was revealed. What this study adds Risk‐stratified D‐dimer cutoff values adjusted to surgical methods and disease stages would benefit the exclusion of postoperative venous thromboembolism.

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Systematic review and meta-analysis on the impact of lung cancer screening by low-dose computed tomography

Cited by 60 publications

References 26 publications

Social Media and mHealth Technology for Cancer Screening: Systematic Review and Meta-analysis

Social Media and mHealth Technology for Cancer Screening: Systematic Review and Meta-analysis

Discriminating invasive adenocarcinoma among lung pure ground-glass nodules: a multi-parameter prediction model

Dynamics of D‐dimer in non‐small cell lung cancer patients receiving radical surgery and its association with postoperative venous thromboembolism

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