Pediatric unit spending in the North of Italy during the COVID-19 pandemic.

BACKGROUND: During the COVID-19 pandemic, accesses to pediatric health care services decreased, as well as the consumption of traditional drugs, while the median cost per patient at the emergency department slightly increased and the cost of pediatric COVID-19 admissions to the pediatric ward too. Overall spending of a secondary level Pediatric Unit in the last two years has not been previously reported. METHODS: This is a retrospective study conducted by the Pediatric Unit of S. Chiara Hospital of Trento, North of Italy. We collected data on consumption and spending before and during the COVID-19 pandemic (between January 2018 and December 2022). RESULTS: The total spending ranged from 2.141.220 to 2.483.931 euros between 2018 and 2022. COVID-19 spending accounted only for 5-8% of the overall budget, while two macro-areas of spending were identified: (i) biologic drugs for inherited metabolic diseases (IMDs), that impacted for 35.4-41.3%, and (ii) technology devices for type 1 diabetes (T1D), that accounted for 41.6-32.8% of the overall budget, in 2021 and 2022, respectively. Analysis of costs along with the different health care services revealed that: (i) the spending for COVID-19 antigen tests and personal protective equipment had a major impact on the Emergency room budget (from 54 to 68% in the two years); (ii) biological drugs accounted mainly on the Pediatric Ward (for 57%), Day Hospital (for 74%) and rare disease center budget (for 95% of the spending); (iii) the cost for T1D devices was mainly due to continuous glucose monitoring, and impacted for the 97% of the outpatient clinic budget. CONCLUSIONS: The main impact on the budget was not due to COVID-19 pandemic related costs, but to the costs for biologic drugs and T1D devices. Therefore, cost savings could be mainly achieved through generic and biosimilars introduction and with inter-regionals calls for technology devices. We emphasize how the control of spending in pediatric hospital care has probably moved from the bedside (savings on traditional drugs as antibiotics) to the bench of national or inter-regional round tables, to obtain discounts on the costs of biologic drugs and medical devices. Here we provide for the first-time in literature, data for bench-marking between secondary level Pediatric Units before and during the COVID-19 pandemic.

Application of the IPDfromKM-Shiny Method to Compare the Efficacy of Novel Treatments Aimed at the Same Disease Condition: A Report of 14 Analyses.

In the area of evidence-based medicine, the IPDfromKM-Shiny method is an innovative method of survival analysis, midway between artificial intelligence and advanced statistics. Its main characteristic is that an original software investigates the Kaplan-Meier graphs of trials so that individual-patient data are reconstructed. These reconstructed patients represent a new form of original clinical material. The typical objective of investigations based on this method is to analyze the available evidence, especially in oncology, to perform indirect comparisons, and determine the place in therapy of individual agents. This review examined the most recent applications of the IPDfromKM-Shiny method, in which a new web-based software-published in 2021-was used. Reported here are 14 analyses, mostly focused on oncological treatments. Indirect comparisons were based on overall survival or progression free survival. Each of these analyses provided original information to compare treatments with one another and select the most appropriate depending on patient characteristics. These analyses can also be useful to assess equivalence from a regulatory viewpoint. All investigations stressed the importance of heterogeneity to better interpret the evidence generated by IPDfromKM-Shiny investigations. In conclusion, these investigations showed that the reconstruction of individual patient data through this online tool is a promising new method for analyzing trials based on survival endpoints. This new approach deserves further investigation, particularly in the area of indirect comparisons.

Survival in Patients with Relapsed-Refractory Multiple Myeloma: Indirect Comparison of Six New Treatments.

In recent years, new treatments have been studied for relapsed-refractory multiple myeloma (RRMM), including two CAR-T products and a variety of non-CAR-T agents. Since direct comparisons between these innovative treatments are not available, indirect comparisons can be of interest. Reconstruction of individual patient data from Kaplan-Meier graphs (e.g., according to the Shiny method) has been the subject of numerous reports that have fully validated their performance. In the present systematic review, we evaluated six treatments proposed for RRMM, including two CAR-T products (ciltacabtagene autoleucel and idecabtagene vicleucel) and four treatments not based on a CAR-T (melflufen plus dexamethasone, isatuximab plus dexamethasone, selinexor, and belantamab). The endpoint was overall survival (OS). Our results showed statistically significant differences in OS across these treatments. In particular, ciltacabtagene autoleucel showed better OS than idecabtagene vicleucel. As regards non-CAR-T treatments, the ranking in OS was headed by isatuximab plus dexamethasone, followed by belantamab, selinexor, and melflufen plus dexamethasone. In conclusion, while the Shiny method has confirmed its validity in reconstructing individual patient data, our indirect comparisons have offered some original clues to interpret the results of OS published in these studies.

[Application of artificial intelligence for an early comparison of efficacy between new cancer drugs.] / Applicazione dell'intelligenza artificiale per un precoce confronto di efficacia tra nuovi farmaci oncologici.

INTRODUCTION: The clinical choice among recently approved cancer drugs is burdened by the absence of direct comparisons in terms of efficacy across these new agents. In this article we present the IPDfromKM method, an artificial intelligence (AI) application that aims to facilitate the analyses on efficacy based on secondary data. METHODS: Seven therapeutic areas were selected in which at least three new agents were recently approved. Kaplan-Meier curves of related clinical trials were digitized. Then, the IPDfromKM method was employed to reconstruct patient-level survival data. This information allowed us to compare selected agents in each therapeutic area and to rank them in terms of efficacy. RESULTS: We identified the most effective treatment in each of the seven selected therapeutic areas. In two cases, immunotherapies, sharing similar mechanisms of actions, were compared highlighting the most effective one. In the remaining cases, our comparison included also the standard of care, which proved to be superior to new agents in patients with osteosarcoma. DISCUSSION: When randomized clinical trials are not available, indirect comparisons can be a valuable source of information. The experience described herein recommends the use of a new method endowed by two important advantages: remarkable speed of analysis and free access to computational tools. In assessing the place in therapy for newly developed agents, this approach can further promote the application of evidence-based principles.

Survival with novel hormonal therapies in patients with nonmetastatic castration-resistant prostate cancer: indirect comparison of three randomized phase-III trials.

INTRODUCTION: In recent years, new treatments have been approved for nonmetastatic castration-resistant prostate cancer (M0CRPC). Because direct comparisons between these treatments are not available to guide treatment decisions, indirect comparisons can be of interest. METHODS: Our analysis evaluated second-generation hormone treatments proposed for M0CRPC. We searched multiple databases for articles published between 2010 and 2022. Phase-III clinical trials that studied these agents in M0CRPC patients were eligible. Among these, we included trials reporting overall survival (OS) through Kaplan-Meier curves. We performed the reconstruction of individual patient data from Kaplan-Meier graphs, according to the Shiny method, to indirectly compare the efficacy of the different agents. Indirect comparisons included testing for equivalence according to FDA criteria. Confidence intervals (CI) were 95% in all analyses except equivalence testing, where 90%CIs were used. RESULTS: Three studies met these inclusion criteria. Apalutamide (hazard ratio [HR]: 0.75, 95% confidence interval [CI] 0.64-0.88), darolutamide (HR 0.70, 95%CI 0.58-0.84), and enzalutamide (HR 0.77, 95%CI 0.65-0.90) were all significantly more effective than the placebo. Our results showed no difference in OS between any of these three agents, and in testing for equivalence, our estimates of HR met the 0.75-1.33 level. CONCLUSIONS: While the Shiny method has confirmed its validity in reconstructing individual patient data, our indirect comparisons based on mature OS demonstrated similar efficacy and substantial equivalence among these three second-generation androgen receptor inhibitors.

Medical Therapy, Radiofrequency Ablation, or Cryoballoon Ablation as First-Line Treatment for Paroxysmal Atrial Fibrillation: Interpreting Efficacy Through the Shiny Method.

In patients with paroxysmal atrial fibrillation, cryoballoon ablation (CBA) and radiofrequency ablation (RFA) represent two therapeutic approaches supported by increasing literature. While both these ablation techniques play a role during different stages of the patient's therapeutic pathway, their use as first-line is being increasingly recognized. This scoping review comparatively examined the evidence of effectiveness for these two ablation techniques. Our analysis was limited to the evaluation of the end-point of time to recurrence of atrial fibrillation (or other forms of atrial arrhythmias), which was the primary end-point in most clinical trials. The method used for pooling the information from clinical trials (Shiny method) is original and based on an artificial intelligence (AI) method that reconstructs individual patient data from published Kaplan-Meier time-to-event curves. Because a network meta-analysis has been published on this same clinical material, one objective of the present work was to compare the meta-analytic results with those generated by the Shiny method. A standard literature search was conducted on PubMed/Medline. Only randomized studies comparing CBA versus medical therapy, RFA versus medical therapy, or CBA versus RFA in previously untreated patients were eligible. Trials presenting a Kaplan-Meier curve to present the above-mentioned end-point were included. Patient-level data were reconstructed by application of the Shiny method. These individual patient data were then analyzed by standard statistical testing based on hazard ratio (HR) for risk of recurrence and medians of time to recurrence. Our analysis compared the two ablation treatments and medical therapy. A total of five trials were identified through our literature search. Information from these trials was pooled according to the three treatments (CBA: three trials, n = 365; RFA: two trials, n = 99; medical therapy: five trials, n = 457). CBA showed higher effectiveness than medical therapy (HR, 0.51; 95% confidence interval (CI): 0.38 to 0.67). In comparison with medical therapy, RFA showed a numerical trend that remained far from statistical significance (HR, 0.89; 95% CI: 0.62 to 1.27). Medians for time to recurrence were 14.1 months (95% CI: 10.0 to not reached) for RFA and 11.5 months (95% CI: 9.3 to 25.3) for medical therapy. This parameter was not reached for CBA. The current evidence from five randomized trials suggests that CBA ranks first in effectiveness, followed by RFA and medical therapy. In our comparison between the results generated by the Shiny method with those published in the previous meta-analysis, the Shiny method confirmed its ability to account for the length of follow-up in individual trials, whereas the meta-analytic approach confirmed its ability to account for the effects of randomizations performed in the trials.

The Degree of Programmed Death-Ligand 1 (PD-L1) Positivity as a Determinant of Outcomes in Metastatic Triple-Negative Breast Cancer Treated With First-Line Immune Checkpoint Inhibitors.

In metastatic triple-negative breast cancer (TNBC), the efficacy of immune checkpoint inhibitors (ICIs) in combination with chemotherapy has been demonstrated in randomized clinical trials (RCTs). Despite this, an indirect comparison is not yet available. Reconstruction of individual patient data from Kaplan-Meier curves allows the indirect comparison of different treatments. We analyzed six overall survival (OS) curves from three RCTs. In patients with ≥1% positivity, atezolizumab was found to determine a significantly better OS than pembrolizumab. As regards pembrolizumab, adopting a threshold of PD-L1 positivity ≥10% (as opposed to ≥1%) improved median survival to a remarkable extent (23.0 vs 15.5 months).

Evaluation of maintenance treatment with PARP inhibitors in ovarian carcinoma patients responding to platinum therapy: Use of restricted mean survival time as an index of efficacy.

BACKGROUND: Maintenance therapy using poly (ADP-ribose) polymerase inhibitors (PARPIs) is an important therapeutic option in advanced ovarian cancer after platinum-based chemotherapy. MATERIALS AND METHODS: We evaluated randomized studies (n = 5) describing the effect of maintenance therapy with PARPIs; they were obtained mainly by searching PubMed. Patient data for the analysis were derived from progression-free survival curves. Restricted mean survival time (RMST) and 95% confidence interval were estimated for individual arms of each trial. RESULTS: The three PARPIs used (olaparib, niraparib, rucaparib) all showed a higher effectiveness than placebo. The gains in progression-free survival were 6 - 8 months. CONCLUSION: Maintenance therapy studies provide evidence that olaparib, niraparib, rucaparib are effective treatments for advanced ovarian cancer.

Efficacy of Immune Checkpoint Inhibitors in Patients with Mismatch Repair-Deficient or Microsatellite Instability-High Metastatic Colorectal Cancer: Analysis of Three Phase-II Trials.

Programmed cell death ligand 1 (PD-L1) and programmed cell death protein 1 (PD-1) inhibitors are increasingly used in a variety of solid tumors. In patients with DNA mismatch repair-deficient (dMMR)/microsatellite instability-high (MSI-H) metastatic colorectal cancer, their efficacy has been demonstrated in recently published phase-II trials. However, an indirect comparison of effectiveness between pembrolizumab, nivolumab, and nivolumab+ipilimumab is not yet available. After a standard literature search, we analyzed four overall survival (OS) curves from three phase-II trials. Individual patient data were reconstructed from each curve using a specific web-based technique (Shiny method). Indirect statistical comparisons were made based on hazard ratio (HR) and restricted mean survival time (RMST). Nivolumab+ipilumumab had a better HR compared with pembrolizumab (0.65, 95% confidence interval [CI], 0.43 to 1.002, p=0.051); the difference being close to statistical significance. In the analysis based on RMST, the combination of nivolumab+ipilimumab showed a significantly longer OS than pembrolizumab (improvement in RMST, 1.08 mos; 95%CI, 0.11 to 2.06; p=0.029). The other two pairwise differences in RMST (nivolumab vs. pembrolizumab and nivolumab+ ipilimumab vs. nivolumab) had a smaller magnitude (0.25 mos, 95%CI, -0.99 to 1.48, and 0.84 mos, 95%CI, -0.40 to 2.07, respectively) and were far from statistical significance. Our results favoring the combination of nivolumab+ipilimumab in metastatic colorectal cancer must be viewed with caution owing to the indirect nature of our statistical comparisons. With this limitation in mind, the magnitude of the incremental benefit for the above combination treatment was estimated to be around one month over a follow-up of 15 months.