Dataset Information

Prognostic value of adjuvant therapy in T4 non-small cell lung cancer: An inverse probability of treatment weighting analysis.

ABSTRACT:

Background

According to the current clinical guidelines, chemoradiotherapy is considered the standard treatment for locally advanced non-small cell lung cancer (NSCLC). We analyzed the prognostic effect of adjuvant chemotherapy (ACT) in resected patients using the new eighth tumor node metastasis (TNM) staging systems based on the Surveillance, Epidemiology and End Results database.

Methods

We identified 3008 patients with stage IIIA NSCLC (T4N0M0) who underwent sublobar resection, lobectomy, or pneumonectomy. Covariates affecting treatment selection or survival were included as part of propensity score models for matching and weighting. The effect of ACT on survival was assessed, stratified by postoperative radiation therapy (PORT) use, tumor size, and age.

Results

Analyses of 2016 patients were conducted with standardized differences in covariates < 10% after matching. ACT was associated with significantly improved five-year overall survival (51.1% vs. 39.7%; P = 0.0260) in patients aged 21-65 with > 7 cm tumors, even after adjusting for the presence or absence of the superior sulcus (P = 0.0003). No significant outcomes were observed using other stratifications in the matched analysis. Moreover, ACT with PORT conferred a potential survival benefit in 21-65-year-old patients with 0-7 cm tumors (for all causes of death: hazard ratio 0.414, 95% confidence interval 0.251-0.684).

Conclusion

In this population-based cohort, ACT prolonged the survival of patients aged 21-65 with a tumor > 7 cm, with or without PORT. Inverse probability of treatment weighting can estimate the treatment effect and is suitable for use with survival data.

SUBMITTER: Song YT

PROVIDER: S-EPMC6397922 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

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Publications

Prognostic value of adjuvant therapy in T4 non-small cell lung cancer: An inverse probability of treatment weighting analysis.

Song Ya-Ting YT Yang Sheng-Li SL Fu Zhen Z Liu Xue-Han XH Yan Si-Yu SY Wang Zhi-Hui ZH Qin Ting-Ting TT Jiang Hong-Wei HW Jin Yang Y Yin Ping P

Thoracic cancer 20190109 3

<h4>Background</h4>According to the current clinical guidelines, chemoradiotherapy is considered the standard treatment for locally advanced non-small cell lung cancer (NSCLC). We analyzed the prognostic effect of adjuvant chemotherapy (ACT) in resected patients using the new eighth tumor node metastasis (TNM) staging systems based on the Surveillance, Epidemiology and End Results database.<h4>Methods</h4>We identified 3008 patients with stage IIIA NSCLC (T4N0M0) who underwent sublobar resection ...[more]

PMID: 30628189

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Project description:BackgroundVisceral pleural infiltration (VPI) has been identified as an important risk factor in non-small cell lung cancer (NSCLC) for many decades. However, for patients who present with ground glass opacity (GGO), the prognostic value of VPI is still elusive. We aimed to investigate whether the VPI is a significant prognostic factor in surgically resected ≤3 cm stage I NSCLC who presented with GGO.Materials and methodsPatients with primary NSCLC who underwent surgical resection between December 2009 and December 2018 were collected. Stage I tumors that presented as GGO nodule with a tumor size of less than 3 cm were included and divided into two groups based on VPI status (positive and negative). Clinical, pathological, and prognostic data were prospectively collected and retrospectively reviewed. Inverse probability of treatment weighting (IPTW) was used to balance baseline characteristics. Overall survival (OS) and recurrence-free survival (RFS) were analyzed using the Cox proportional hazards model and Kaplan-Meier method.ResultsA total of 2043 patients were included in this study (VPIs were found in 196 patients). After IPTW weighting, all factors between the two groups were balanced. The median follow-up time was 67.3 months. According to the multivariable Cox models, the VPI was not a significant prognostic factor for OS (HR = 2.00, 95% CI, 0.96-4.17; P= 0.063), but was significant for RFS (HR =2.00, 95% CI, 1.12-3.55; P= 0.019). In subgroup analysis, we found VPI was significant for OS (HR=3.17, 95%CI: 1.09-9.26, P=0.035) and RFS (HR=4.07, 95%CI: 1.76-9.40, P=0.001) in patients with a tumor size >1 cm and a consolidation to tumor ratio (CTR) >50%. For patients with a tumor size ≤1 cm or a CTR ≤50%, the VPI was not significant.ConclusionsVPI may be a significant risk factor for GGOs in NSCLC patients with a tumor size >1 cm and a CTR >50%. Further prospective studies conducted across multi-centers with a larger sample size are needed.

Project description:Study questionDoes inverse probability weighting (IPW) provide a more valid estimate of the cumulative incidence of live birth after multiple cycles of IVF?Summary answerIPW can provide a more accurate estimate of treatment success for counseling and decision-making regarding IVF.What is known alreadyDifferent approaches have been used to define and calculate IVF success; however, many of these approaches have limitations and potentially violate statistical assumptions. IPW can address potential selection bias that arises when people do not continue IVF treatment after a failed cycle.Study design, size, durationData were derived from a cohort study of women undergoing their first fresh embryo transfer IVF cycle at our institution between 1 January 1995 and 31 December 2014. All autologous cycles (fresh and frozen) were included, up to six total cycles.Participants/materials, setting, methodsWe identified 20 015 women who underwent 47 079 IVF cycles and had 10 031 live births during the study period. The cumulative incidence of live birth was calculated using three approaches. First, we used a standard Kaplan-Meier approach, 'the optimistic approach', censoring women when they dropped out of treatment. Second, we used a 'conservative' Kaplan-Meier approach that assumed women who dropped out of treatment did not achieve a live birth. Finally, we used IPW to calculate the probability of remaining in treatment, while accounting for differences in treatment drop out. IPW up-weights the data of those remaining under observation who resembled the women who dropped out of treatment, thereby decreasing the potential selection bias resulting from loss to follow-up. The IPW was incorporated into a Kaplan-Meier approach.Main results and the role of chanceThe cumulative incidence of live birth was 72.1% (95% CI: 71.0-73.1%) for the optimistic approach, 50.1% (49.4-50.8%) for the conservative approach and 66.8% (65.5-68.1%) for the IPW approach. Among women < 38 years of age, the cumulative incidence of live birth calculated by the IPW was slightly higher than that calculated by the optimistic approach. For women 41-42 years of age, the IPW cumulative incidence of live birth was slightly lower. The IPW was similar to the optimistic approach for the other age groups. The conservative estimate was lowest for all age groups.Limitations, reasons for cautionOnly clinical data recorded by the providers during an IVF cycle were used to generate weights for IPW. Covariates included: age, gravidity and year at the start of the cycle; primary infertility diagnosis; procedure type (i.e. whether a fresh or frozen embryo was transferred); number of mature oocytes retrieved; number of embryos transferred; cycle cancellation; pregnancy loss in the cycle; and insurance status. We were unable to determine exact reasons for treatment drop out (e.g. cessation of IVF treatment, transfer to another institution or spontaneous pregnancy). Our IPW model was moderately predictive based on the c-statistic from the calculation of the denominator of the weight; however, residual selection bias may remain due to the limited range of covariate data.Wider implications of the findingsIPW can be used in a variety of settings to address selection bias introduced by differential loss to follow up or treatment drop out.Study funding/competing interest(s)AMM was supported by National Institutes of Health (NIH) T32 HD052458-Boston University Reproductive, Perinatal and Pediatric Epidemiology Training Program. The authors report no conflicts of interest.Trial registration numberN/A.

Dataset Information

Prognostic value of adjuvant therapy in T4 non-small cell lung cancer: An inverse probability of treatment weighting analysis.

Background

Methods

Results

Conclusion

Publications

Prognostic value of adjuvant therapy in T4 non-small cell lung cancer: An inverse probability of treatment weighting analysis.

Similar Datasets

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