Steven D Criss

Mr. Steven D Criss

Harvard Medical School, Boston, Massachusetts, USA
orcid
Medical Student at Harvard Medical School

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 December 2019 in Annals of Internal Medicine
Verified
Journal Article
Closed access
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SCSteven D Criss
Steven D Criss
PCPianpian Cao
Pianpian Cao
MBMehrad Bastani
Mehrad Bastani
KHKevin Ten Haaf
Kevin Ten Haaf
YCYufan Chen
Yufan Chen
CKChung Yin Kong
Chung Yin Kong
Recommendations vary regarding the maximum age at which to stop lung cancer screening: 80 years according to the U.S. Preventive Services Task Force (USPSTF), 77 years according to the Centers for Medicare & Medicaid Services (CMS), and 74 years according to the National Lung Screening Trial (NLST). To compare the cost-effectiveness of different stopping ages for lung cancer screening. By using shared inputs for smoking behavior, costs, and quality of life, 4 independently developed microsimulation models evaluated the health and cost outcomes of annual lung cancer screening with low-dose computed tomography (LDCT). The NLST; Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial; SEER (Surveillance, Epidemiology, and End Results) program; Nurses' Health Study and Health Professionals Follow-up Study; and U.S. Smoking History Generator. Current, former, and never-smokers aged 45 years from the 1960 U.S. birth cohort. 45 years. Health care sector. Annual LDCT according to NLST, CMS, and USPSTF criteria. Incremental cost-effectiveness ratios (ICERs) with a willingness-to-pay threshold of $100 000 per quality-adjusted life-year (QALY). The 4 models showed that the NLST, CMS, and USPSTF screening strategies were cost-effective, with ICERs averaging $49 200, $68 600, and $96 700 per QALY, respectively. Increasing the age at which to stop screening resulted in a greater reduction in mortality but also led to higher costs and overdiagnosis rates. Probabilistic sensitivity analysis showed that the NLST and CMS strategies had higher probabilities of being cost-effective (98% and 77%, respectively) than the USPSTF strategy (52%). Scenarios assumed 100% screening adherence, and models extrapolated beyond clinical trial data. All 3 sets of lung cancer screening criteria represent cost-effective programs. Despite underlying uncertainty, the NLST and CMS screening strategies have high probabilities of being cost-effective. CISNET (Cancer Intervention and Surveillance Modeling Network) Lung Group, National Cancer Institute.

21 December 2018 in Cancer Medicine
Verified
Journal Article
Open access
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DSDeirdre F. Sheehan
Deirdre F. Sheehan
SCSteven D Criss
Steven D Criss
YCYufan Chen
Yufan Chen
AEAndrew Eckel
Andrew Eckel
LPLauren Palazzo
Lauren Palazzo
CKChung Yin Kong
Chung Yin Kong
Background: We studied trends in lung cancer treatment cost over time by phase of care, treatment strategy, age, stage at diagnosis, and histology.Methods: Using the Surveillance, Epidemiology, and End Results (SEER)‐Medicare database for years 1998‐2013, we allocated total and patient‐liability costs into the following phases of care for 145 988 lung cancer patients: prediagnosis, staging, surgery, initial, continuing, and terminal. Patients served as self‐controls to determine cancer‐attributable costs based on individual precancer diagnosis healthcare costs. We fit linear regression models to determine cost by age and calendar year for each stage at diagnosis, histology, and treatment strategy and presented all costs in 2017 US dollars.Results: Monthly healthcare costs prior to lung cancer diagnosis were $861 for a 70 years old in 2017 and rose by an average of $17 per year (P < 0.001). Surgery in 2017 cost $30 096, decreasing by $257 per year (P = 0.007). Chemotherapy and radiation costs remained stable or increased for most stage and histology groups, ranging from $4242 to $8287 per month during the initial six months of care. Costs during the final six months of life decreased for those who died of lung cancer or other causes.Conclusions: Cost‐effectiveness analyses of lung cancer control interventions in the United States have been using outdated and incomplete treatment cost estimates. Our cost estimates enable updated cost‐effectiveness analyses to determine the benefit of lung cancer control from a health economics point of view.

4 September 2019 in JAMA Network Open
Verified
Journal Article
Open access
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SCSteven D Criss
Steven D Criss
MMMeghan J. Mooradian
Meghan J. Mooradian
TWTina R. Watson
Tina R. Watson
JGJustin F. Gainor
Justin F. Gainor
KRKerry L. Reynolds
Kerry L. Reynolds
CKChung Yin Kong
Chung Yin Kong
Immune checkpoint inhibitors (ICIs) have swiftly become the standard of care for patients with metastatic nonsquamous non–small cell lung cancer (NSCLC). For several years, ICIs were the therapy of choice for second-line treatment, with atezolizumab, pembrolizumab, and nivolumab—each a programmed death receptor 1 (PD-1) or programmed death ligand 1 (PD-L1) inhibitor—being the predominant options for patients with nonsquamous NSCLC who had been treated previously with chemotherapy.1-3 Given their success as second-line treatments, ICIs were subsequently used as first-line treatments with 2 strategies: ICI monotherapy and ICI in combination with chemotherapy.

1 March 2019 in JAMA Oncology
Verified
Journal Article
Closed access
PDF file
SCSteven D Criss
Steven D Criss
MMMeghan J. Mooradian
Meghan J. Mooradian
DSDeirdre F. Sheehan
Deirdre F. Sheehan
LZLeyre Zubiri
Leyre Zubiri
MLMelissa A. Lumish
Melissa A. Lumish
CKChung Yin Kong
Chung Yin Kong
Importance In early 2018, durvalumab became the first immunotherapy to be approved for adjuvant treatment of patients with unresectable stage III non–small cell lung cancer (NSCLC) whose cancer has not progressed after definitive chemoradiotherapy. However, the cost-effectiveness and potential economic implications of using this high-priced therapy in this indication are unknown to date. Objective To explore the cost-effectiveness and potential budgetary consequences of durvalumab consolidation therapy vs no consolidation therapy after chemoradiotherapy in stage III NSCLC in the context of the US health care system. Design, Setting, and Participants A decision analytic microsimulation model was developed in an academic medical setting to compare the following 2 postchemoradiotherapy strategies: all patients receive no consolidation therapy until progression vs all patients receive durvalumab consolidation therapy until progression or for a maximum of 1 year. The potential budgetary consequence was calculated by applying the proportion of patients with NSCLC who were diagnosed in stage III and received chemoradiotherapy to the projected number of annual new cases for 2018 to 2022 to find total eligible patients and then multiplied by the mean difference in annual cost between the strategies over this 5-year period. Simulated conditions were matched to those of the PACIFIC phase 3 randomized clinical trial and reasonable treatment strategies for metastatic NSCLC. All simulated patients begin disease free after having received radical treatment with chemoradiotherapy and are followed up as they progress to metastatic disease first-line treatment, metastatic disease second-line treatment, end-stage progressive disease, and death. Main Outcomes and Measures The main outcome of this study was the incremental cost-effectiveness ratio of durvalumab consolidation therapy vs no consolidation therapy, given as aggregate cost of treatment per quality-adjusted life-year gained. Results Among 2 million simulated patients, durvalumab consolidation therapy was cost-effective compared with no consolidation therapy at a $100 000 per quality-adjusted life-year willingness-to-pay threshold, with an estimated incremental cost-effectiveness ratio of $67 421 per quality-adjusted life-year, and would contribute an additional $768 million to national cancer spending in year 1. The annual budgetary consequence would then decrease to $241 million in year 5. Conclusions and Relevance Durvalumab consolidation therapy represents an indication where expensive immunotherapies can be cost-effective. Treating with immunotherapy earlier in the course of cancer progression can provide significant value, despite having a substantial budgetary consequence.

19 June 2018 in AIDS
Verified
Journal Article
Open access
CKChung Yin Kong
Chung Yin Kong
KSKeith Sigel
Keith Sigel
SCSteven D Criss
Steven D Criss
DSDeirdre F. Sheehan
Deirdre F. Sheehan
MTMatthew Triplette
Matthew Triplette
KCKristina Crothers
Kristina Crothers
Objective: Lung cancer is the leading cause of non-AIDS-defining cancer deaths among HIV-infected individuals. Although lung cancer screening with low-dose computed tomography (LDCT) is endorsed by multiple national organizations, whether HIV-infected individuals would have similar benefit as uninfected individuals from lung cancer screening is unknown. Our objective was to determine the benefits and harms of lung cancer screening among HIV-infected individuals. Design: We modified an existing simulation model, the Lung Cancer Policy Model, for HIV-infected patients. Data sources: Veterans Aging Cohort Study, Kaiser Permanente Northern California HIV Cohort, and medical literature. Target population : HIV-infected current and former smokers. Time horizon : Lifetime. Perspective : Population. Intervention: Annual LDCT screening from ages 45, 50, or 55 until ages 72 or 77 years. Main outcome measures: Benefits assessed included lung cancer mortality reduction and life-years gained; harms assessed included numbers of LDCT examinations, false-positive results, and overdiagnosed cases. Results of base-case analysis: For HIV-infected patients with CD4+ cell count at least 500 cells/μl and 100% antiretroviral therapy adherence, screening using the Centers for Medicare & Medicaid Services criteria (age 55–77, 30 pack-years of smoking, current smoker or quit within 15 years of screening) would reduce lung cancer mortality by 18.9%, similar to the mortality reduction of uninfected individuals. Alternative screening strategies utilizing lower screening age and/or pack-years criteria increase mortality reduction, but require more LDCT examinations. Limitations: Strategies assumed 100% screening adherence. Conclusion: Lung cancer screening reduces mortality in HIV-infected patients with CD4+ cell count at least 500 cells/μl, with a number of efficient strategies for eligibility, including the current Centers for Medicare & Medicaid Services criteria.

9 September 2019 in The Oncologist
Verified
Journal Article
Open access
PDF file
YCYufan Chen
Yufan Chen
SCSteven D Criss
Steven D Criss
TWTina R. Watson
Tina R. Watson
AEAndrew Eckel
Andrew Eckel
LPLauren Palazzo
Lauren Palazzo
CKChung Yin Kong
Chung Yin Kong
Background: The end-of-life period is a crucial time in lung cancer care. To have a better understanding of the racial-ethnic disparities in health care expenditures, access, and quality, we evaluated these disparities specifically in the end-of-life period for patients with lung cancer in the U.S. Materials and Methods: We used the Surveillance, Epidemiology, and End Results (SEER)-Medicare database to analyze characteristics of lung cancer care among those diagnosed between the years 2000 and 2011. Linear and logistic regression models were constructed to measure racial-ethnic disparities in end-of-life care cost and utilization among non-Hispanic (NH) Asian, NH black, Hispanic, and NH white patients while controlling for other risk factors such as age, sex, and SEER geographic region. Results: Total costs and hospital utilization were, on average, greater among racial-ethnic minorities compared with NH white patients in the last month of life. Among patients with NSCLC, the relative total costs were 1.27 (95% confidence interval [CI], 1.21–1.33) for NH black patients, 1.36 (95% CI, 1.25–1.49) for NH Asian patients, and 1.21 (95% CI, 1.07–1.38) for Hispanic patients. Additionally, the odds of being admitted to a hospital for NH black, NH Asian, and Hispanic patients were 1.22 (95% CI, 1.15–1.30), 1.47 (95% CI, 1.32–1.63), and 1.18 (95% CI, 1.01–1.38) times that of NH white patients, respectively. Similar results were found for patients with SCLC. Conclusion: Minority patients with lung cancer have significantly higher end-of-life medical expenditures than NH white patients, which may be explained by a greater intensity of care in the end-of-life period.