Effect of smoking on survival of patients with hepatocellular carcinoma

Kolly, Philippe; Knöpfli, Marina Janusheva; Dufour, Jean–François

doi:10.1111/liv.13466

Cited by 31 publications

(32 citation statements)

References 26 publications

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“…The Cox proportional hazards model was used to estimate the hazard ratios (HRs) relating risk factors to survival outcomes. The final multivariable model consisted of variables with clinical significance determined a priori (age, 15,16 sex, 15,16 tobacco history, 17,18 alcohol history, 15,17 cirrhosis, 19,20 and liver disease etiology [20][21][22][23][24] and variables that met significance in the univariable model. The final model estimated the HRs for diagnosis year groups, adjusting for ethnicity, HCC etiology, age, sex, tobacco and alcohol history, cirrhosis status, MELD score, Milan criteria status, and primary treatment modality.…”

Section: Discussionmentioning

confidence: 99%

Temporal trends in disease presentation and survival of patients with hepatocellular carcinoma: A real‐world experience from 1998 to 2015

Kim

Nguyen

Dang

et al. 2018

Cancer

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Over the last 18 years, the percentage of cases of nonalcoholic steatohepatitis HCC has increased but not overall survival. It is interesting to note that only 31% of patients with HCC identified via screening/surveillance received any curative treatment. Further research is needed to better understand the barriers to curative care for patients with HCC and the causes of the lack of improvement in survival in the more recent patient cohort. Cancer 2018;124:2588-98. © 2018 American Cancer Society.

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Section: Discussionmentioning

confidence: 99%

Temporal trends in disease presentation and survival of patients with hepatocellular carcinoma: A real‐world experience from 1998 to 2015

Kim

Nguyen

Dang

et al. 2018

Cancer

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“…Only 3 studies [79][80][81] identified assessed the association between smoking and survival amongst liver cancer patients (Supplementary table 3).…”

Section: Liver Cancer Smoking and Survival In Liver Cancer Patientsmentioning

confidence: 99%

“…In hepatocellular carcinoma patients with viral hepatitis, Shih et al [81] found that current smokers had worse liver cancer specific survival than never smokers (HR 1.25, 95% CI 1.09-1.44) and Holly et al [80] found that current smokers had worse overall survival than non-smokers (HR 2.41, 95% CI 1. 28-4.55).…”

Section: Liver Cancer Smoking and Survival In Liver Cancer Patientsmentioning

confidence: 99%

Do smoking and alcohol behaviours influence GI cancer survival?

McMenamin

McCain

Kunzmann

2017

Best Practice & Research Clinical Gastroenterology

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Little is known about the role of alcohol and smoking in GI cancer survival compared to GI cancer development. We systematically reviewed the evidence for a role of smoking and alcohol in prognosis among GI cancer patients and inform whether smoking or alcohol cessation interventions or guidelines for GI cancer patients are likely to improve prognosis. A total of 84 relevant studies were identified. Continued smokers, particularly heavy smokers, had worse prognosis than never smokers in most GI cancers. However, more evidence is needed to establish the likely impact of smoking cessation interventions amongst GI cancer patients. Heavy alcohol drinkers had worse prognosis in oesophageal squamous cell carcinoma and hepatocellular carcinoma patients. Light alcohol consumption was not associated with worse prognosis from any GI cancer, though further studies are needed. UK guidelines for the general population recommending under 14 units (∼7 drinks) per week may be sufficient for GI cancer patients, until further evidence is available.

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“…These scoring systems comprise the parameters BCLC stage, alpha‐fetoprotein level, tumour size and number, Child‐Pugh score, radiological tumour response and aspartate aminotransferase level. We also included other potentially clinically meaningful parameters regarding aetiology (alcohol abuse, hepatitis B and C, non‐alcoholic steatohepatitis), comorbidities (nicotine abuse, obesity, diabetes) and tumour growth pattern . In addition, we included the following potentially meaningful parameters indicating liver function: MELD, bilirubin, albumin and the international normalized ratio .…”

Section: Methodsmentioning

confidence: 99%

Predicting survival after transarterial chemoembolization for hepatocellular carcinoma using a neural network: A Pilot Study

Mähringer‐Kunz

Wagner

Hähn

et al. 2020

Liver International

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Background and aims Deciding when to repeat and when to stop transarterial chemoembolization (TACE) in patients with hepatocellular carcinoma (HCC) can be difficult even for experienced investigators. Our aim was to develop a survival prediction model for such patients undergoing TACE using novel machine learning algorithms and to compare it to conventional prediction scores, ART, ABCR and SNACOR. Methods For this retrospective analysis, 282 patients who underwent TACE for HCC at our tertiary referral centre between January 2005 and December 2017 were included in the final analysis. We built an artificial neural network (ANN) including all parameters used by the aforementioned risk scores and other clinically meaningful parameters. Following an 80:20 split, the first 225 patients were used for training; the more recently treated 20% were used for validation. Results The ANN had a promising performance at predicting 1‐year survival, with an area under the ROC curve (AUC) of 0.77 ± 0.13. Internal validation yielded an AUC of 0.83 ± 0.06, a positive predictive value of 87.5% and a negative predictive value of 68.0%. The sensitivity was 77.8% and specificity 81.0%. In a head‐to‐head comparison, the ANN outperformed the aforementioned scoring systems, which yielded lower AUCs (SNACOR 0.73 ± 0.07, ABCR 0.70 ± 0.07 and ART 0.54 ± 0.08). This difference reached significance for ART (P < .001); for ABCR and SNACOR significance was not reached (P = .143 and P = .201). Conclusions Artificial neural networks could be better at predicting patient survival after TACE for HCC than traditional scoring systems. Once established, such prediction models could easily be deployed in clinical routine and help determine optimal patient care.

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Effect of smoking on survival of patients with hepatocellular carcinoma

Abstract: This study shows that smoking is an independent predictor of survival in hepatitis B virus/hepatitis C virus-infected patients with hepatocellular carcinoma.

Cited by 31 publications

References 26 publications

Temporal trends in disease presentation and survival of patients with hepatocellular carcinoma: A real‐world experience from 1998 to 2015

Temporal trends in disease presentation and survival of patients with hepatocellular carcinoma: A real‐world experience from 1998 to 2015

Do smoking and alcohol behaviours influence GI cancer survival?

Predicting survival after transarterial chemoembolization for hepatocellular carcinoma using a neural network: A Pilot Study

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