Time From Colorectal Cancer Surgery to Adjuvant Chemotherapy: Post Hoc Analysis of the SCOT Randomized Clinical Trial.

Importance: The timing of adjuvant chemotherapy after surgery for colorectal cancer and its association with long-term outcomes have been investigated in national cohort studies, with no consensus on the optimal time from surgery to adjuvant chemotherapy. Objective: To analyze the association between the timing of adjuvant chemotherapy after surgery for colorectal cancer and disease-free survival. Design, Setting, and Participants: This is a post hoc analysis of the phase 3 SCOT randomized clinical trial, from 244 centers in 6 countries, investigating the noninferiority of 3 vs 6 months of adjuvant chemotherapy. Patients with high-risk stage II or stage III nonmetastatic colorectal cancer who underwent curative-intended surgery were randomized to either 3 or 6 months of adjuvant chemotherapy consisting of fluoropyrimidine and oxaliplatin regimens. Those with complete information on the date of surgery, treatment type, and long-term follow-up were investigated for the primary and secondary end points. Data were analyzed from May 2022 to February 2024. Intervention: In the post hoc analysis, patients were grouped according to the start of adjuvant chemotherapy being less than 6 weeks vs greater than 6 weeks after surgery. Main Outcomes and Measures: The primary end point was disease-free survival. The secondary end points were adverse events in the total treatment period or the first cycle of adjuvant chemotherapy. Results: A total of 5719 patients (2251 [39.4%] female; mean [SD] age, 63.4 [9.3] years) were included in the primary analysis after data curation; among them, 914 were in the early-start group and 4805 were in the late-start group. Median (IQR) follow-up was 72.0 (47.3-88.1) months, with a median (IQR) of 56 (41-66) days from surgery to chemotherapy. Five-year disease-free survival was 78.0% (95% CI, 75.3%-80.8%) in the early-start group and 73.2% (95% CI, 72.0%-74.5%) in the late-start group. In an adjusted Cox regression analysis, the start of adjuvant chemotherapy greater than 6 weeks after surgery was associated with worse disease-free survival (hazard ratio, 1.24; 95% CI, 1.06-1.46; P = .01). In adjusted logistic regression models, there was no association with adverse events in the total treatment period (odds ratio, 0.82; 95% CI, 0.65-1.04; P = .09) or adverse events in the first cycle of treatment (odds ratio, 0.77; 95% CI, 0.56-1.09; P = .13). Conclusions and Relevance: In this international population of patients with high-risk stage II and stage III colorectal cancer, starting adjuvant chemotherapy more than 6 weeks after surgery was associated with worse disease-free survival, with no difference in adverse events between the groups. Trial Registration: isrctn.org Identifier: ISRCTN59757862.

From Local Action to Global Policy: A Comparative Policy Content Analysis of National Policies to Address Musculoskeletal Health to Inform Global Policy Development.

BACKGROUND: Global policy to guide action on musculoskeletal (MSK) health is in a nascent phase. Lagging behind other non-communicable diseases (NCDs) there is currently little global policy to assist governments to develop national approaches to MSK health. Considering the importance of comparison and learning for global policy development, we aimed to perform a comparative analysis of national MSK policies to identify areas of innovation and draw common themes and principles that could guide MSK health policy. METHODS: Multi-modal search strategy incorporating a systematic online search targeted at the 30 most populated nations; a call to networked experts; a specified question in a related eDelphi questionnaire; and snowballing methods. Extracted data were organised using an a priori framework adapted from the World Health Organization (WHO) Building Blocks and further inductive coding. Subsequently, texts were open coded and thematically analysed to derive specific sub-themes and principles underlying texts within each theme, serving as abstracted, transferable concepts for future global policy. RESULTS: The search yielded 165 documents with 41 retained after removal of duplicates and exclusions. Only three documents were comprehensive national strategies addressing MSK health. The most common conditions addressed in the documents were pain (non-cancer), low back pain, occupational health, inflammatory conditions, and osteoarthritis. Across eight categories, we derived 47 sub-themes with transferable principles that could guide global policy for: service delivery; workforce; medicines and technologies; financing; data and information systems; leadership and governance; citizens, consumers and communities; and research and innovation. CONCLUSION: There are few examples of national strategic policy to address MSK health; however, many countries are moving towards this by documenting the burden of disease and developing policies for MSK services. This review found a breadth of principles that can add to this existing work and may be adopted to develop comprehensive system-wide MSK health approaches at national and global levels.

Effects of an Online Education Program on Physical Therapists' Confidence in Weight Management for People With Osteoarthritis: A Randomized Controlled Trial.

OBJECTIVE: To evaluate effects of an online education program about weight management for osteoarthritis on physical therapists' self-reported confidence in knowledge and skills in weight management and attitudes toward obesity. METHODS: In a 2-group randomized controlled trial, 80 physical therapists (58 female physical therapists) were randomized to education or control groups. The theoretically informed and evidence-informed online self-directed training program covered biopsychosocial elements of obesity and weight management. The primary outcome was self-reported confidence in knowledge in weight management using a customized validated tool (scale 14-70, higher scores indicating higher confidence) assessed at baseline and 6 weeks. Secondary measures included confidence in nutrition care, clinical skills in weight management, and weight stigma. Process measures evaluated participant experience. Differences in change between groups were compared using linear regression models adjusted for baseline scores and stratifying variables (clinical setting; confidence in weight management). Moderation analysis was performed using an interaction approach in a linear regression model and multivariable fractional polynomial interaction approach. RESULTS: A total of 79 participants (99%) completed outcome measures at 6 weeks. The education group demonstrated greater improvement in confidence in knowledge than the control group (adjusted mean difference 22.6 units, 95% confidence interval 19.6, 25.5). Greater improvement in knowledge was associated with lower baseline values (interaction P = 0.002). Secondary outcomes showed greater improvements in confidence in skills and nutrition care and in weight stigma domains favoring the education group. Over 90% of participants would recommend the program to peers. CONCLUSION: An online education program improves physical therapists' short-term confidence in knowledge and skills in weight management for people with osteoarthritis and reduces weight-stigmatized attitudes.

Extensions of Health Economic Evaluations in R for Microsoft Excel Users: A Tutorial for Incorporating Heterogeneity and Conducting Value of Information Analyses.

Advanced health economic analysis techniques currently performed in Microsoft Excel, such as incorporating heterogeneity, time-dependent transitions and a value of information analysis, can be easily transferred to R. Often the outputs of survival analyses (such as Weibull regression models) will estimate the impacts of correlated patient characteristics on patient outcomes, and are utilised directly as inputs for health economic decision models. This tutorial provides a step-by-step guide of how to conduct such analyses with a Markov model developed in R, and offers a comparison with established analyses performed in Microsoft Excel. This is done through the conversion of a previously published Microsoft Excel case study of a hip replacement surgery cost-effectiveness model. We hope that this paper can act as a facilitator in switching decision models from Microsoft Excel to R for complex health economic analyses, providing open-access code and data, suitable for future adaptation.

Context and priorities for health systems strengthening for pain and disability in low- and middle-income countries: a secondary qualitative study and content analysis of health policies.

Musculoskeletal (MSK) health impairments contribute substantially to the pain and disability burden in low- and middle-income countries (LMICs), yet health systems strengthening (HSS) responses are nascent in these settings. We aimed to explore the contemporary context, framed as challenges and opportunities, for improving population-level prevention and management of MSK health in LMICs using secondary qualitative data from a previous study exploring HSS priorities for MSK health globally and (2) to contextualize these findings through a primary analysis of health policies for integrated management of non-communicable diseases (NCDs) in select LMICs. Part 1: 12 transcripts of interviews with LMIC-based key informants (KIs) were inductively analysed. Part 2: systematic content analysis of health policies for integrated care of NCDs where KIs were resident (Argentina, Bangladesh, Brazil, Ethiopia, India, Kenya, Malaysia, Philippines and South Africa). A thematic framework of LMIC-relevant challenges and opportunities was empirically derived and organized around five meta-themes: (1) MSK health is a low priority; (2) social determinants adversely affect MSK health; (3) healthcare system issues de-prioritize MSK health; (4) economic constraints restrict system capacity to direct and mobilize resources to MSK health; and (5) build research capacity. Twelve policy documents were included, describing explicit foci on cardiovascular disease (100%), diabetes (100%), respiratory conditions (100%) and cancer (89%); none explicitly focused on MSK health. Policy strategies were coded into three categories: (1) general principles for people-centred NCD care, (2) service delivery and (3) system strengthening. Four policies described strategies to address MSK health in some way, mostly related to injury care. Priorities and opportunities for HSS for MSK health identified by KIs aligned with broader strategies targeting NCDs identified in the policies. MSK health is not currently prioritized in NCD health policies among selected LMICs. However, opportunities to address the MSK-attributed disability burden exist through integrating MSK-specific HSS initiatives with initiatives targeting NCDs generally and injury and trauma care.

Cost-Effectiveness Analysis of Molnupiravir Versus Best Supportive Care for the Treatment of Outpatient COVID-19 in Adults in the US.

BACKGROUND AND AIMS: Coronavirus disease 2019 (COVID-19) imposes a substantial and ongoing burden on the US healthcare system and society. Molnupiravir is a new oral antiviral for treating COVID-19 in outpatient settings. This study evaluated the cost-effectiveness profile of molnupiravir versus best supportive care in the treatment of adult patients with mild-to-moderate COVID-19 at risk of progression to severe disease, from a US payer's perspective. METHODS: The model was developed using a decision tree for the short-term acute phase of COVID-19 and a Markov state transition model for the long-term post-acute phase. This model compared molnupiravir with best supportive care as consistent with the MOVe-OUT trial. Costs were reported in 2021 US dollars. Transition probabilities were derived from the phase III MOVe-OUT trial and the TriNetX real-world electronic health records database. Costs were derived from the TriNetX database and utility values from a de novo, vignette-based utility study. Deterministic and probabilistic sensitivity analyses (DSA/PSA) were conducted. Primary outcomes included proportion hospitalized, proportion who died overall and by highest healthcare setting at the end of the acute phase, quality-adjusted life-years (QALYs), and incremental costs per QALY gained over a lifetime (100 years) horizon, discounted at 3% annually and assessed at a willingness-to-pay (WTP) threshold of $100,000 per QALY. RESULTS: In this model, the use of molnupiravir led to an increase in QALYs (0.210) and decrease in direct total medical costs (-$895) per patient across a lifetime horizon, compared with best supportive care in COVID-19 outpatients. Molnupiravir was the dominant intervention when compared with best supportive care. Patients treated with molnupiravir were less likely to be hospitalized (6.38% vs. 9.20%) and more likely to remain alive (99.88% vs. 98.71%) during the acute phase. Through DSA, molnupiravir treatment effect of hospitalization reduction was identified to be the most influential parameter, and through PSA, molnupiravir remained dominant in 84% of the total simulations and, overall, 100% cost effective. CONCLUSION: This analysis suggests that molnupiravir is cost effective compared with best supportive care for the treatment of adult outpatients with COVID-19. However, our study was limited by the unavailability of the most recent information on the rapidly evolving pandemic, including new viral variants, patient populations affected, and changes in standards of care. Further research should explore the impact of vaccination on the cost effectiveness of molnupiravir and other therapies, based on real-world data, to account for these changes, including the impact of vaccination and immunity.

Comparison of Alternative Methods to Assess the Cost-Effectiveness of Tumor-Agnostic Therapies: A Triangulation Approach Using Larotrectinib as a Case Study.

OBJECTIVES: The study objective was to investigate the economic value of tumor-agnostic therapies when only single-arm effectiveness data are available at launch by applying multiple methodologies to establish comparative effectiveness. METHODS: In the absence of direct comparative data, 3 methods were used to estimate the counterfactual: (1) a historical control based on a systematic literature review for each tumor site from the larotrectinib trials, (2) an intracohort comparison using the previous line of therapy time to progression from larotrectinib trials, and (3) a nonresponder control that applied outcomes for larotrectinib nonresponders. Cost-effectiveness was modeled using the partitioned survival approach. Stochastic parameter uncertainty was assessed in a probabilistic sensitivity analysis (PSA). A triangulated estimate of the mean cost-effectiveness result was generated combining all 3 counterfactual estimates. RESULTS: Incremental cost-effectiveness ratios were similar across the 3 methodologies in the deterministic analysis ranging from £83 868 (95% uncertainty interval [UI] £65 698-£107 668) to £104 922 per quality-adjusted life-year (95% UI £80 132-£139 658). PSA results for each method substantially overlapped when plotted on the cost-effectiveness plane. Weighting PSA results for each method equally in the triangulation method produced an incremental cost-effectiveness ratios of £95 587 per quality-adjusted life-year gained (95% UI £70 449-£137 431). CONCLUSIONS: In the absence of direct comparative data, different methods of estimating a counterfactual are possible, each with strengths and limitations. Triangulating results across the methods provides a composite view of the total uncertainty and a more consistent estimation of the cost-effectiveness of the tumor-agnostic intervention compared with choosing a single method.

Disability burden due to musculoskeletal conditions and low back pain in Australia: findings from GBD 2019.

BACKGROUND: To report the national prevalence, years lived with disability (YLDs) and attributable risk factors for all musculoskeletal conditions and separately for low back pain (LBP), as well as compare the disability burden related to musculoskeletal with other health conditions in Australia in 2019. METHODS: Global Burden of Disease (GBD) 2019 study meta-data on all musculoskeletal conditions and LBP specifically were accessed and aggregated. Counts and age-standardised rates, for both sexes and across all ages, for prevalence, YLDs and attributable risk factors are reported. RESULTS: In 2019, musculoskeletal conditions were estimated to be the leading cause of YLDs in Australia (20.1%). There were 7,219,894.5 (95% UI: 6,847,113-7,616,567) prevalent cases of musculoskeletal conditions and 685,363 (95% UI: 487,722-921,471) YLDs due to musculoskeletal conditions. There were 2,676,192 (95% UI: 2,339,327-3,061,066) prevalent cases of LBP and 298,624 (95% UI: 209,364-402,395) YLDs due to LBP. LBP was attributed to 44% of YLDs due to musculoskeletal conditions. In 2019, 22.3% and 39.8% of YLDs due to musculoskeletal conditions and LBP, respectively, were attributed to modifiable GBD risk factors. CONCLUSIONS: The ongoing high burden due to musculoskeletal conditions impacts Australians across the life course, and in particular females and older Australians. Strategies for integrative and organisational interventions in the Australian healthcare system should support high-value care and address key modifiable risk factors for disability such as smoking, occupational ergonomic factors and obesity.

Use of the oral beta blocker bisoprolol to reduce the rate of exacerbation in people with chronic obstructive pulmonary disease (COPD): a randomised controlled trial (BICS).

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is associated with significant morbidity, mortality and healthcare costs. Beta blockers are well-established drugs widely used to treat cardiovascular conditions. Observational studies consistently report that beta blocker use in people with COPD is associated with a reduced risk of COPD exacerbations. The bisoprolol in COPD study (BICS) investigates whether adding bisoprolol to routine COPD treatment has clinical and cost-effective benefits. A sub-study will risk stratify participants for heart failure to investigate whether any beneficial effect of bisoprolol is restricted to those with unrecognised heart disease. METHODS: BICS is a pragmatic randomised parallel group double-blind placebo-controlled trial conducted in UK primary and secondary care sites. The major inclusion criteria are an established predominant respiratory diagnosis of COPD (post-bronchodilator FEV1 < 80% predicted, FEV1/FVC < 0.7), a self-reported history of ≥ 2 exacerbations requiring treatment with antibiotics and/or oral corticosteroids in a 12-month period since March 2019, age ≥ 40 years and a smoking history ≥ 10 pack years. A computerised randomisation system will allocate 1574 participants with equal probability to intervention or control groups, stratified by centre and recruitment in primary/secondary care. The intervention is bisoprolol (1.25 mg tablets) or identical placebo. The dose of bisoprolol/placebo is titrated up to a maximum of 4 tablets a day (5 mg bisoprolol) over 4-7 weeks depending on tolerance to up-dosing of bisoprolol/placebo-these titration assessments are completed by telephone or video call. Participants complete the remainder of the 52-week treatment period on the final titrated dose (1, 2, 3, 4 tablets) and during that time are followed up at 26 and 52 weeks by telephone or video call. The primary outcome is the total number of participant reported COPD exacerbations requiring oral corticosteroids and/or antibiotics during the 52-week treatment period. A sub-study will risk stratify participants for heart failure by echocardiography and measurement of blood biomarkers. DISCUSSION: The demonstration that bisoprolol reduces the incidence of exacerbations would be relevant not only to patients and clinicians but also to healthcare providers, in the UK and globally. TRIAL REGISTRATION: Current controlled trials ISRCTN10497306 . Registered on 16 August 2018.

Approaches for Enhanced Extrapolation of Long-Term Survival Outcomes Using Electronic Health Records of Patients With Cancer.

OBJECTIVES: This study aimed to demonstrate enhanced survival extrapolation methods using electronic health record-derived real-world data (RWD). METHODS: The study population included patients diagnosed of ER+/HER2- metastatic breast cancer who started first-line treatment with anastrozole or letrozole between November 18, 2014, and November 18, 2015. Two patient cohorts were constructed: a clinical trial cohort from digitized MONARCH-3 clinical trial results and a RWD cohort from a deidentified electronic health record-derived database. RWD patients were weighted to trial baseline covariate distributions. Standard parametric approaches were applied to trial data and a "best-fit" model was selected. We demonstrate traditional and enhanced hybrid (pooling with weighted RWD at start, 75%, or end of trial) extrapolation approaches. RESULTS: Observed and estimated 5-year progression-free survival (PFS) rates in extrapolating the trial control arm (n = 165) were comparable across all methods. Compared with the observed 5-year mean PFS in the RWD cohort (n = 118) of 20.4 months (95% confidence interval [CI] 16.9-23.8), there was some variation among studied methods. Best-fit standard parametric model (log-normal) had 5-year mean PFS of 21.3 months (95% CI 18.2-24.9), and for the hybrid methods in order of estimate conservativeness was start of trial (20.8 months; 95% CI 18.5-23.2), 75% of trial (21.3 months; 95% CI 18.1-24.5), and end of trial (21.8 months; 95% CI 18.8-25.2). CONCLUSIONS: Our study leverages RWD to enhance long-term survival extrapolation. Future use cases should include applying patient eligibility criteria, weighting on baseline characteristics, and choice of time window to add RWD to trial data.

Estimating Long-Term Survival Outcomes for Tumor-Agnostic Therapies: Larotrectinib Case Study.

BACKGROUND: Larotrectinib is a precision oncology treatment for solid tumors with neurotrophic tyrosine receptor kinase (NTRK) gene fusions. Larotrectinib efficacy has been evaluated in single-arm basket trials with limited follow-up and sample sizes at the initial regulatory approval due to the rarity of solid tumors with NTRK gene fusion. OBJECTIVES: We aim to demonstrate that trends in progression-free survival (PFS) and overall survival (OS) in survival data with longer follow-up may be predicted from long-term survival estimates from survival data with shorter follow-up, including predictions for median survival when it is not observed in the trial. METHODS: Patient-level data were pooled from 3 clinical trials (NCT02122913, NCT02576431, and NCT02637687) using the 2018 and 2020 data cuts for the same subset of pediatric and adult patients. The Weibull distribution was selected for survival models. Survival predictions using 2018 data were compared to 2020 Kaplan-Meier (KM) curves. RESULTS: A total of 102 patients representing 15 tumor types were included in the analysis, with a mean age of 37 years. When comparing PFS from the 2018 survival prediction to observed 2020 KM data, the 12-month PFS rate was identical (66.6%). The 36-month PFS rate was lower for the 2018 prediction (35.3%) compared to 2020 KM data (44.4%). The median OS had not yet been reached in either data cut but was predicted to be 90 months using the 2018 data. When comparing OS from the 2018 survival prediction to the observed 2020 KM data, the 12-month OS rate was 89.0% and 86.6% and the 48-month OS rate was 67.2% and 63.0%, respectively. CONCLUSION: Long-term PFS predictions deviated from observed PFS rates due to response differences across tumor types and heavy censoring towards the end of the survival curve. However, for OS, the 48-month survival prediction was consistent with the observed 2020 KM estimate.

Conceptual Framework and Methodological Challenges for Modeling Effectiveness in Oncology Treatment Sequence Models.

In this review, we summarize the challenges faced by existing oncology treatment sequence decision models and introduce a general framework to conceptualize such models. In the proposed framework, patients with cancer receive at least two lines of therapy (LOTs) followed by palliative care throughout their lifetime. Patients cycle through progression-free and progressive disease health states in each LOT before death. Under this framework, four broad aspects of modeling effectiveness of treatment sequences need exploration. First, disease progression, treatment discontinuation, and the relationship between the two events should be considered. Second, the effectiveness of each LOT depends on its placement in a treatment sequence as the effectiveness of later LOTs may be influenced by the earlier LOTs. Third, the treatment-free interval (TFI; time between discontinuation of earlier LOT and initiation of later LOT) may impact a therapy's effectiveness. Fourth, in the absence of head-to-head trials directly comparing LOTs, indirect treatment comparison (ITC) of outcomes for a specific LOT or even for the entire treatment sequence is important to consider. A search of decision models that estimated effectiveness of at least two lines of oncology therapy was conducted in PubMed (N = 20) and technology appraisals by the National Institute for Health and Care Excellence (N = 26) to assess four methodological aspects related to the model framework: (1) selection of outcomes for effectiveness in a treatment sequence, (2) approaches to adjust the efficacy of a treatment in consideration of its place in the sequence, (3) approaches to address TFIs between LOTs, and (4) incorporation of ITCs to estimate comparators' effectiveness in the absence of direct head-to-head evidence. Most models defined health states based on disease progression on different LOTs while estimating treatment duration outside of the main model framework (30/46) and used data from multiple data sources in different LOTs to model efficacy of a treatment sequence (41/46). No models adjusted efficacy for the characteristics of patients who switched from an earlier LOT to a later LOT or adjusted for the impact of prior therapies, and just six models considered TFIs. While 11 models applied ITC results to estimate efficacy in comparator treatment sequences, the majority limited the ITC to one LOT in the sequence. Thus, there is substantial room to improve the estimation of effectiveness for treatment sequences using existing data when comparing effectiveness of alternative treatment sequences.

Developing a Framework for the Health Technology Assessment of Histology-independent Precision Oncology Therapies.

The arrival of precision oncology is challenging the evidence standards under which technologies are evaluated for regulatory approval as well as for health technology assessment (HTA) purposes. Several key concepts are discussed to highlight the source of the challenges in evaluating these products, particularly those impacting the HTA of histology-independent therapies. These include the basket trial design, high uncertainty in (potentially substantial) benefits for histology-independent therapies, and the inability to identify and quantify benefits of standard of care in daily practice when the biomarker is not currently used in practice. There is little precedent for a technology with the unique mixture of challenges for HTA of histology-independent therapies and they will be evaluated using standard HTA, as there currently is no evidence suggesting the standard HTA framework is not appropriate. A number of questions proposed to help guide HTA bodies when assessing the appropriateness of local processes to optimally evaluate histology-independent therapies. Pragmatic solutions are further proposed to decrease uncertainty in the benefits of histology independent therapies as well as fill gaps in comparative evidence. The proposed solutions ensure a consistent and streamlined approach to evaluation across histology-independent products, although with varying strengths and limitations. Alongside these solutions, sponsors should engage early with HTA bodies/payers and regulatory agencies through parallel/joint scientific advice to facilitate the integration of both regulatory and HTA perspectives into one clinical development programme, potentially reconciling evidence requirements.

Three Versus Six Months of Adjuvant Doublet Chemotherapy for Patients With Colorectal Cancer: A Multi-Country Cost-Effectiveness and Budget Impact Analysis.

BACKGROUND: The Short Course Oncology Treatment (SCOT) trial demonstrated non-inferiority, less toxicity, and cost-effectiveness from a UK perspective of 3 versus 6 months of oxaliplatin-based chemotherapy for patients with colorectal cancer. This study assessed the cost-effectiveness of shorter treatment and the budget impact of implementing trial findings from the perspectives of all countries recruited to SCOT: Australia, Denmark, New Zealand, Spain, Sweden, and the United Kingdom. PATIENTS AND METHODS: Individual cost-utility analyses were performed from the perspective of each country. Resource, quality of life, and survival estimates from the SCOT trial (N = 6065) were used. Probabilistic sensitivity analysis and subgroup analyses were undertaken. Using undiscounted costs from these cost-utility analyses, the impact on country-specific healthcare budgets of implementing the SCOT trial findings was calculated over a 5-year period. The currency used was US dollars (US$), and 2019 was the base year. One-way and scenario sensitivity analysis addressed uncertainty within the budget impact analysis. RESULTS: Three months of treatment were cost saving and cost-effective compared to 6 months from the perspective of all countries. The incremental net monetary benefit per patient ranged from US$8972 (Spain) to US$13,884 (Denmark). The healthcare budget impact over 5 years for the base-case scenario ranged from US$3.6 million (New Zealand) to US$61.4 million (UK) and totaled over US$150 million across all countries. CONCLUSION: This study has widened the transferability of results from the SCOT trial, showing that shorter treatment is cost-effective from a multi-country perspective. The vast savings from implementation could fully justify the investment in conducting the SCOT trial.

Budget Impact of Oral Semaglutide Intensification versus Sitagliptin among US Patients with Type 2 Diabetes Mellitus Uncontrolled with Metformin.

BACKGROUND: Oral semaglutide was approved in 2019 for blood glucose control in patients with type 2 diabetes mellitus (T2DM) and was the first oral glucagon-like peptide 1 receptor agonist (GLP-1 RA). T2DM is associated with substantial healthcare expenditures in the US, so the cost of a new intervention should be weighed against clinical benefits. OBJECTIVE: This study evaluated the budget impact of a treatment pathway with oral semaglutide 14 mg daily versus oral sitagliptin 100 mg daily among patients not achieving target glycated hemoglobin (HbA1c) level despite treatment with metformin. METHODS: This study used the validated IQVIA™ CORE Diabetes Model to simulate the treatment impact of oral semaglutide 14 mg and sitagliptin 100 mg over a 5-year time horizon from a US healthcare sector (payer) perspective. Trial data (PIONEER 3) informed cohort characteristics and treatment effects, and literature sources informed event costs. Population and market share data were from the literature and data on file. The analysis evaluated the estimated budget impact of oral semaglutide 14 mg use for patients currently using sitagliptin 100 mg considering both direct medical and treatment costs to understand the impact on total cost of care, given underlying treatment performance and impact on avoidable events. RESULTS: In a hypothetical plan of 1 million lives, an estimated 1993 patients were treated with sitagliptin 100 mg in the target population. Following these patients over 5 years, the incremental direct medical and treatment costs of a patient using oral semaglutide 14 mg versus sitagliptin 100 mg was $US16,562, a 70.7% increase (year 2019 values). A hypothetical payer would spend an additional $US3,300,143 (7.1%) over 5 years for every 10% of market share that oral semaglutide 14 mg takes away from sitagliptin 100 mg. Univariate and scenario analyses with alternate inputs and assumptions demonstrated consistent results. CONCLUSIONS: Use of oral semaglutide 14 mg in patients currently receiving sitagliptin 100 mg substantially increases the budget impact for patients with T2DM whose blood glucose level is not controlled with metformin over a 5-year time horizon for US healthcare payers.

Patients with type 2 diabetes mellitus (T2DM) have many treatment options. Choices depend on factors such as cost, preference, and patient characteristics. Oral semaglutide was recently approved for the treatment of T2DM as the first oral therapy of its class. This study estimated the cost for patients treated with sitagliptin 100 mg, a commonly used T2DM treatment, versus oral semaglutide 14 mg for patients whose disease is not well controlled with metformin. Costs and effects were estimated over 5 years for each treatment strategy using predictive model equations and clinical trial data for the two treatments. These costs were considered for both a hypothetical healthcare plan of 1 million lives and the full US population. A patient treated with oral semaglutide 14 mg would expect to see 70.7% higher costs than a patient treated with sitagliptin 100 mg over 5 years. For every 10% of patients who would switch from sitagliptin 100 mg to oral semaglutide 14 mg, costs would increase by 7.1%. Changing the cost of oral semaglutide 14 mg had the greatest impact on model results. The findings from the analysis were consistent across a range of alternate model inputs. Oral semaglutide 14 mg is more costly than sitagliptin 100 mg over 5 years.

Earlier diagnosis of lung cancer in a randomised trial of an autoantibody blood test followed by imaging.

The EarlyCDT-Lung test is a high-specificity blood-based autoantibody biomarker that could contribute to predicting lung cancer risk. We report on the results of a phase IV biomarker evaluation of whether using the EarlyCDT-Lung test and any subsequent computed tomography (CT) scanning to identify those at high risk of lung cancer reduces the incidence of patients with stage III/IV/unspecified lung cancer at diagnosis compared with the standard clinical practice at the time the study began.The Early Diagnosis of Lung Cancer Scotland (ECLS) trial was a randomised controlled trial of 12 208 participants at risk of developing lung cancer in Scotland in the UK. The intervention arm received the EarlyCDT-Lung test and, if test-positive, low-dose CT scanning 6-monthly for up to 2 years. EarlyCDT-Lung test-negative and control arm participants received standard clinical care. Outcomes were assessed at 2 years post-randomisation using validated data on cancer occurrence, cancer staging, mortality and comorbidities.At 2 years, 127 lung cancers were detected in the study population (1.0%). In the intervention arm, 33 out of 56 (58.9%) lung cancers were diagnosed at stage III/IV compared with 52 out of 71 (73.2%) in the control arm. The hazard ratio for stage III/IV presentation was 0.64 (95% CI 0.41-0.99). There were nonsignificant differences in lung cancer and all-cause mortality after 2 years.ECLS compared EarlyCDT-Lung plus CT screening to standard clinical care (symptomatic presentation) and was not designed to assess the incremental contribution of the EarlyCDT-Lung test. The observation of a stage shift towards earlier-stage lung cancer diagnosis merits further investigations to evaluate whether the EarlyCDT-Lung test adds anything to the emerging standard of low-dose CT.

Larotrectinib versus Prior Therapies in Tropomyosin Receptor Kinase Fusion Cancer: An Intra-Patient Comparative Analysis.

Randomized controlled basket trials investigating drugs targeting a rare molecular alteration are challenging. Using patients as their own control overcomes some of these challenges. Growth modulation index (GMI) is the ratio of progression-free survival (PFS) on the current therapy to time to progression (TTP) on the last prior line of therapy; GMI ≥ 1.33 is considered a threshold of meaningful clinical activity. In a retrospective, exploratory analysis among patients with advanced tropomyosin receptor kinase (TRK) fusion cancer treated with the selective TRK inhibitor larotrectinib who received ≥1 prior line of therapy for locally advanced/metastatic disease, we determined the proportion of patients with GMI ≥ 1.33; patients who had not progressed by data cut-off were censored for PFS. Among 72 eligible patients, median GMI was 2.68 (range 0.01-48.75). Forty-seven patients (65%) had GMI ≥ 1.33; 13/25 patients (52%) with GMI < 1.33 had not yet progressed on larotrectinib. Kaplan-Meier estimates showed a median GMI of 6.46. The probability of attaining GMI ≥ 1.33 was 0.75 (95% confidence interval (CI), 0.65-0.85). Median TTP on previous treatment was 3.0 months (95% CI, 2.6-4.4). Median PFS on larotrectinib was not estimable ((NE); 95% CI, NE; hazard ratio, 0.220 (95% CI, 0.146-0.332)). This analysis suggests larotrectinib improves PFS for patients with TRK fusion cancer compared with prior therapy.

Association of Pathologic Complete Response with Long-Term Survival Outcomes in Triple-Negative Breast Cancer: A Meta-Analysis.

Pathologic complete response (pCR) following neoadjuvant therapy has been associated with improved event-free survival (EFS) and overall survival (OS) in early-stage breast cancer. The magnitude of this association varies by breast cancer subtype, yet further research focusing on subtype-specific populations is limited. Here we provide an updated and comprehensive evaluation of the association between pCR and survival outcomes in triple-negative breast cancer (TNBC). A literature review identified neoadjuvant studies, including clinical trials, real-world cohort studies, and studies that pooled multiple trials or cohorts, which reported EFS/OS results by pCR in patients with early-stage TNBC. Meta-analyses were performed to evaluate the association between pCR and EFS/OS and to predict long-term survival outcomes based on pCR status. Sensitivity analyses were conducted to assess the impact of cross-study variations. Twenty-five studies with over 4,000 patients with TNBC were identified. A synthesis of evidence from these studies suggested substantial improvement in EFS and OS for pCR versus non-pCR [EFS HR (95% confidence interval): 0.24 (0.20-0.29); OS: 0.19 (0.15-0.24)]; consistent results were reported in sensitivity analyses. Collectively, our findings suggest that adjuvant therapy is associated with improved EFS/OS in patients with TNBC who received neoadjuvant therapy, regardless of pCR status.

Cost-Benefit Implication of Gene Expression Profiling and Adjuvant Therapy in Stage IIIA Melanoma.

BACKGROUND: Indiscriminate use of adjuvant therapy in stage IIIA melanoma is controversial. We sought to model the clinical impact and cost of implementing a gene expression profile (GEP) test to guide adjuvant therapy. STUDY DESIGN: A Markov decision-analysis model was created to represent resected stage IIIA melanoma with 3 treatment options: observation (OBS), adjuvant pembrolizumab for all patients (ALL), and selective adjuvant therapy (SEL). In the SEL option, only high-risk patients based on GEP stratification were treated with pembrolizumab. Cost of adjuvant therapy was normalized to reflect Medicare reimbursement schedules. The primary outcome was cost per mortality avoided at 10 years. RESULTS: Model projections for 10-year overall survival were 68% for OBS, 73% for SEL, and 76% for ALL. The estimated incremental cost-per-mortality-avoided (compared to OBS) was $2.1 million for SEL and $2.4 million for ALL. These translate to costs of $583.0K and $697.1K per life-year for the SEL and ALL strategies, respectively. CONCLUSIONS: Routine adjuvant pembrolizumab for stage IIIA melanoma is costly, and risk-stratification by GEP only marginally improves the value of therapy.

Evaluation of Pathologic Complete Response as a Surrogate for Long-Term Survival Outcomes in Triple-Negative Breast Cancer.

BACKGROUND: Pathologic complete response (pCR) is a common efficacy endpoint in neoadjuvant therapy trials for triple-negative breast cancer (TNBC). Previous studies have shown that pCR is strongly associated with improved long-term survival outcomes, including event-free survival (EFS) and overall survival (OS). However, the trial-level associations between treatment effect on pCR and long-term survival outcomes are not well established. This study sought to evaluate these associations by incorporating more recent clinical trials in TNBC. METHODS: A literature review identified published randomized controlled trials (RCTs) of neoadjuvant therapy for TNBC that reported results for both pCR and EFS/OS. Meta-regression models were performed to evaluate the association of treatment effect on pCR and EFS/OS. Sensitivity analyses were conducted to assess the impact of divergent study designs. RESULTS: Ten comparisons from 8 RCTs (N=2,478 patients) were identified from the literature review. The log (odds ratio) of pCR was a significant predictor of the log (hazard ratio) of EFS (P=.003), with a coefficient of determination of 0.68 (95% CI, 0.41-0.95). There was a weaker association between pCR and OS (P=.18), with a coefficient of determination of 0.24 (95% CI, 0.01-0.77). Consistent results were found in the exploratory analysis and sensitivity analyses. CONCLUSIONS: This is the first study that has shown a trial-level association between pCR and survival outcomes in TNBC. By incorporating the most up-to-date RCTs, this study showed a significant trial-level association between pCR and EFS. A positive association between pCR and OS was also recorded.