Citations

Introduction Increasing publication of fraudulent clinical trials poses a serious threat to evidence-based medicine. In the VITALITY Study I, we demonstrated that contamination by retracted trials significantly distorts evidence synthesis. The upcoming VITALITY Study II will take a step further and investigate how such problematic evidence undermines the credibility of guideline recommendations. Methods and analyses The VITALITY Study II will adopt a retrospective cohort design and will be structured as three work packages (WPs). To start with, a cohort of clinical practice guidelines (CPGs) that were contaminated by retracted trials and/or meta-analyses that included retracted trials will be established based on forward citation searching (WP1). Then, recommendations from these CPGs that used evidence from retracted trials and/or meta-analyses that synthesised these retracted trials will be re-evaluated after removing such problematic evidence, in terms of both the direction and strength of effect sizes (WP2). Finally, the subsequent impact on patient outcomes attributable to distorted recommendations will be estimated on a hypothetical population, measured by the number of expected benefit loss and the number of expected harm increment per 100 000 patients (WP3). Ethics and dissemination Formal ethical approval is not necessary for this study as it does not involve human or animal participants, nor does it involve the collection of primary data. We will disseminate the findings through publication in peer-reviewed journals and, whenever possible, presentations at academic conferences.

Abstract Use of brentuximab vedotin (BV) and PD-1 monoclonal antibodies (mAbs) before autologous stem cell transplantation (ASCT) could impact the benefit of post-ASCT BV maintenance in relapsed/refractory (R/R) classic Hodgkin lymphoma (cHL). We identified 1091 patients with R/R cHL who underwent ASCT between 2010-2022. In total, 244 (22%) received a PD-1 mAb and 443 (41%) received BV before ASCT, while 305 (28%) received BV maintenance. We performed 1:1 propensity score matching to assess the efficacy of BV maintenance in different patient subgroups. Among 608 matched patients, the 3-year progression-free survival (PFS) and overall survival were 73% (95% confidence interval [CI], 70-78) and 95% (95%CI, 93-97), respectively. BV maintenance was associated with improved PFS for patients with no exposure to novel agents, especially those with 2+ modified AETHERA risk factors (0-1 factors: hazard ratio (HR), 0.51; 95%CI, 0.24-1.09; P =.083; 2+ factors: HR, 0.40; 95%CI, 0.25-0.65; P< .001). In contrast, BV maintenance was not associated with a significant PFS benefit for any patient subgroup who received novel agents before ASCT (BV-treated, 0-1: HR, 1.43; 95%CI, 0.53-3.81; P =.48; 2+: HR, 0.79; 95%CI, 0.34-1.82; P =.58; PD-1-treated, 0-1 [P>.99], 2+: HR, 0.25; 95%CI, 0.03-2.14; P =.21). In particular, we observed excellent outcomes for patients undergoing ASCT in a complete response after one line of PD-1-based salvage treatment with no significant benefit for BV maintenance observed (2-year PFS 100% vs 95%; P>.99). The benefit of BV maintenance appears to be attenuated for patients receiving novel agents with salvage therapy. Omission of BV maintenance should be considered for patients anticipated to have excellent outcomes.

PURPOSE Chronic myelomonocytic leukemia (CMML) is a rare myeloid neoplasm characterized by clinical heterogeneity and is associated with poor outcomes. To date, limited molecular information has been incorporated into disease classification and risk stratification. We aimed to integrate genomic features into the clinical decision-making process for CMML. PATIENTS AND METHODS We analyzed a retrospective cohort of 3013 patients with CMML (training set) and a prospective population of 516 patients (validation set). Using an innovative framework for multimodal data analysis, we developed molecular-based disease taxonomy and prognostication. RESULTS Unsupervised clustering identified nine entities with distinct genomic features and outcomes ( P < .001), including splicing machinery, transcription factors, signal transduction and tyrosine kinase pathways aberrations, and high-risk molecular signatures. Notably, 15% of patients showed molecular/clinical overlap with other myeloid neoplasms. We integrated molecular and clinical information to build the international CMML Prognostic Scoring System (iCPSS), incorporating mutations in nine genes together with hematologic parameters and cytogenetic abnormalities. The iCPSS identified five groups with distinct probability of overall and leukemia-free survival in both training and validation cohorts ( P < .001), outperforming existing prognostic models. Importantly, 55% of patients were reassigned to higher or lower risk groups by the iCPSS. Decision analysis demonstrated that iCPSS could refine the optimal timing of allogeneic transplantation at the individual level; compared with conventional prognostic tools, iCPSS-based decision modeling changed transplantation strategy in 31% of cases, resulting in a significant gain-in-life expectancy for eligible patient population ( P < .001). A federated learning platform was implemented to enable continuous, privacy-preserving model update across multiple centers. CONCLUSION Molecular information improves CMML classification and prognostication, supports more effective clinical decision making, and potentially refines the design of clinical trials.

Abstract Background Minimally invasive left-sided pancreatectomy (MIS-LP) is increasingly adopted for pancreatic neuroendocrine tumours (PNETs), yet its oncological safety compared with open surgery (O-LP) remains debated. Robust population-level evidence is required to guide practice. Methods Patients ≥65 years with grade 1–2 PNETs undergoing left pancreatectomy were identified from the SEER-Medicare database (2010–2019). Overall and cancer-specific survival outcomes were analysed using multilevel Cox regression after propensity-score matching (PSM). Landmark analysis from 6 months excluded early postoperative deaths. Results 772 patients were included: 257 (33%) MIS-LP and 515 (67%) O-LP. Median age was 71 years; 87% had grade 1 and 13% grade 2 tumours. Before matching, MIS-LP patients had lower comorbidity (median Charlson Index 2 versus 3, P = 0.011) and fewer with metastatic disease (2.0% versus 5.7%, P = 0.019). After PSM (MIS-LP n = 248; O-LP n = 441), 5-year overall survival was higher with MIS-LP (88.1% versus 84.5%, P = 0.03), while 5-year cancer-specific survival was similar (95.2% versus 93.5%, P = 0.11). O-LP was associated with increased risk of death (HR 1.75, 95% c.i. 1.05–2.91, P = 0.030), though not cancer-specific death (HR 1.97, 95% c.i. 0.86–4.54, P = 0.110). Notably, all 90-day mortalities (n = 15, 1.9%) occurred in the O-LP group. In landmark analysis beyond 6 months, surgical approach was no longer predictive of OS or CSS. Conclusions MIS-LP confers an early survival advantage, driven by reduced perioperative mortality, without compromising long-term oncological outcomes. As the largest population-based analysis in this setting, these findings support MIS-LP as the standard surgical approach for older patients with low- to intermediate-grade PNETs.

Importance Adjuvant chemotherapy regimens may be administered after pancreatic resection for adenocarcinoma arising from intraductal papillary mucinous neoplasms (A-IPMNs), although the evidence supporting their use is limited. Objective To evaluate the survival benefit associated with contemporary adjuvant chemotherapy regimens after resection in A-IPMNs between 2017 and 2023. Design, Setting, and Participants This retrospective cohort study was an international, multicenter study with 69 participating centers across Europe, North America, South America, and the Asia-Pacific region. Patients undergoing resection for A-IPMNs were included. Data were analyzed from May to August 2025. Intervention Contemporary adjuvant chemotherapy regimens, such as gemcitabine-capecitabine (GemCap); 5-fluorouracil, leucovorin, oxaliplatin, and irinotecan (FOLFIRINOX), modified FOLFIRINOX (mFOLFIRINOX), and S-1. Main Outcome and Measure Overall survival (months). Results Among 1321 patients (median [IQR] age 70 [63 to 76] years; 713 males [54.0%] and 608 females [46.0%]), 781 patients (59.1%) received adjuvant chemotherapy, while in 181 patients (13.7%) it was omitted due to poor patient fitness. Of patients who received adjuvant chemotherapy, 568 patients (72.6%) received contemporary regimens, including GemCap (232 patients [29.7%]), FOLFIRINOX (176 patients [22.5%]), mFOLFIRINOX (71 patients [9.1%]), and S-1 (70 patients [9.0%]). The median (IQR) follow-up for the cohort was 64.2 (40.4 to 85.0) months, and the median overall survival was 73.8 months (95% CI, 66.4 to 81.9 months). After 90-day landmark analysis and exclusion of patients ineligible for chemotherapy, adjuvant chemotherapy vs no adjuvant chemotherapy (propensity score–matched populations, 243:243 patients) was not associated with improved overall survival (median, 82.3 months; 95% CI, 78.2 months to not applicable [NA] vs not reached; 95% CI, 75.3 months to NA; P = .58). Contemporary regimens vs no adjuvant chemotherapy (propensity score–matched populations, 309:309 patients) was not associated with longer survival, and a mean survival benefit greater than 4.2 months over 5 years was excluded (difference in restricted mean survival, 1.26 months; 95%, −1.72 to 4.24 months). Treatment outcomes did not vary by chemotherapy regimen or disease characteristic (eg, N stage or carbohydrate antigen 19-9 level). Conclusions and Relevance In this study, contemporary adjuvant chemotherapy was not associated with improved overall survival in A-IPMNs, and a randomized clinical trial is indicated.

Background: Sinonasal malignancies (SNM) are rare cancers associated with poor prognosis and impaired quality of life (QOL). The 22-question Sino-Nasal Outcome Test (SNOT-22) has been used to assess QOL in patients with SNM. Objective: To determine the minimal clinically important difference (MCID) for the SNOT-22 in patients with SNM. Methods: About 264 patients with SNM were drawn from a prospective, longitudinal, multi-institutional study. SNOT-22 scores were collected at pre-treatment baseline and follow-up through 5 years post-treatment. Cronbach’s alpha was used to assess the internal consistency of the SNOT-22. Distribution-based approaches were used to estimate the MCID. Multivariable regression identified factors associated with SNOT-22 improvement exceeding the determined MCID. Results: Cronbach’s alpha was >.85. The estimated MCIDs were: 1.44 (Cohen’s effect size), 1.32 (standard error of the mean), 10.45 (1/2 of baseline standard deviation), and 3.67 (minimum detectable change). The mean MCID across methods was 4.22. Multivariable regression demonstrated higher odds of clinically meaningful improvement from baseline in patients with early-stage disease (odds ratio (OR) 3.510, P = .035), no neck irradiation (OR 11.050, P = .014), and neoadjuvant therapy (OR 16.667, P = .047). Conclusions: The SNOT-22 MCID was estimated as 4.22 in a large multi-center cohort of patients with SNM, suggesting that relatively small QOL changes are clinically relevant. When applying the MCID to the current cohort, advanced stage, treatment of neck disease, and not requiring neoadjuvant therapy were predictive of worse QOL.

Abstract Background Radiomics extracts quantitative imaging features from computed tomography (CT) data for clinical decision‐making. However, variations in acquisition parameters—particularly x‐ray tube voltage (kV)—introduce non‐biological variability in attenuation values, limiting the reproducibility of radiomic features across scanners, protocols, and institutions. Purpose To develop and evaluate a CT dAta harmoNiZAtion framework based on deep learNed vIrTual monoEnergetic imaging (TANZANITE), which leverages the keV flexibility of virtual monoenergetic images (VMIs) to enable cross‐kV scan translation and radiomics harmonization. Methods TANZANITE is a model hub consisting of multiple pre‐trained convolutional neural networks (CNNs), each designed to translate VMIs from 1 keV level to another. Phantom‐based calibration was first used to determine energy‐equivalent (Eff_E) keV levels corresponding to each tube potential (e.g., Eff_E(A) keV for source kV and Eff_E(B) keV for target kV). A CNN trained using 69 120 patches from seven patient cases to map VMIs from Eff_E(A) to Eff_E(B) was selected from the TANZANITE hub and applied directly to clinical CT images acquired at the source kV. This harmonized the images to match the attenuation characteristics of the target kV setting. Evaluation was conducted on independent dual‐energy CT datasets acquired at 100/Sn150 kV. Regions of interest (ROIs) were placed in the kidney, liver, and spine to assess CT number consistency and radiomic feature reproducibility. The concordance correlation coefficient (CCC) was calculated across 93 non‐shape radiomic features. Results After TANZANITE processing with 100 kV images, CT numbers in evaluated organs closely matched the Sn150 kV reference values in four testing patient cases. For example, mean kidney CT numbers changed from 320 HU (100 kV) to 156 HU (TANZANITE), approximating the Sn150 kV value of 160 HU. Similar changes were observed in the liver (157–105 HU vs. 104 HU reference) and spine (45–22 HU vs. 19 HU reference). Radiomic reproducibility improved substantially across organs: mean CCC increased from 0.590 to 0.995 in the liver, 0.300 to 0.970 in the kidney, and 0.630 to 0.968 in the spine. Post‐TANZANITE, over 98% of features exceeded the stability threshold (CCC ≥ 0.900) in all three representative organs. Conclusion TANZANITE provides a flexible, image‐domain harmonization framework by learning the keV‐to‐keV translation in the VMI domain and applying pre‐trained CNNs to clinical kV images. It improves CT number consistency and organ‐specific radiomic reproducibility without requiring raw projection data or scanner‐specific training. This approach supports consistent quantitative imaging across multiple‐kV acquisition protocols, enhancing radiomics reliability in clinical settings.

Objective This study evaluates the impact of international observerships organized by Help Ukraine Group (HUG) on professional development, knowledge transfer, and clinical practice improvement in radiation oncology in Ukraine. Methods A total of 50 observerships were facilitated for Ukrainian medical professionals at 14 institutions across the USA, Canada, Europe, and Australia from 2022 to 2024, including 31 radiation oncologists and medical physicists. A survey assessed their impact on oncology care, focusing on knowledge gained, lessons learned, and challenges in implementing new techniques. The primary outcome was the success score, defined as a composite score of implementing new procedures, initiating improvement projects, and knowledge dissemination efforts. Descriptive and comparative analyses examined satisfaction and success outcomes. Results A total of 43 respondents participated in the survey (response rate 86.0%). Twenty-eight of the responders were radiation oncology professionals (67.8% radiation oncologists, 32.1% medical physicists). The median observership duration for radiation oncology professionals was four weeks, with 96.4% also attending a professional conference. Overall satisfaction was high (mean 9.5 out of 10, median 10.0, IQR 9.0-10.0) while the success score was substantial (mean 6.1 out of 10, median 7.0, IQR 5.0-8.0). Time since certification influenced success, with ≥10 years’ experience associated with higher success scores (7.4 vs. 4.7, p=0.01). Importantly, 100% of respondents learned new procedures, 89.3% reported shifts in their clinical perspective, and 60.7% successfully implemented new techniques. Subsequent knowledge dissemination in Ukraine was substantial: 82.1% provided informal training, 60.7% delivered institutional or national presentations, 39.3% incorporated materials into lectures, and 10.7% engaged in all activities. Continued mentorship with host institutions was reported by 82.1%. Conclusions Amid the war, international observerships advanced clinical practice, education, and procedures in Ukraine, demonstrating the resilience of its medical community and providing a model that other LMICs/UMICs can follow.