New opioid prescription claims and their clinical indications: results from health administrative data in Quebec, Canada, over 14 years.

OBJECTIVES: Describe new opioid prescription claims, their clinical indications and annual trends among opioid naïve adults covered by the Quebec's public drug insurance plan (QPDIP) for the fiscal years 2006/2007-2019/2020. DESIGN AND SETTING: A retrospective observational study was conducted using data collected between 2006/2007 and 2019/2020 within the Quebec Integrated Chronic Disease Surveillance System, a linkage administrative data. PARTICIPANTS: A cohort of opioid naïve adults and new opioid users was created for each study year (median number=2 263 380 and 168 183, respectively, over study period). INTERVENTION: No. MAIN OUTCOME MEASURE AND ANALYSES: A new opioid prescription was defined as the first opioid prescription claimed by an opioid naïve adult during a given fiscal year. The annual incidence proportion for each year was then calculated and standardised for age. A hierarchical algorithm was built to identify the most likely clinical indication for this prescription. Descriptive and trend analyses were performed. RESULTS: There was a 1.7% decrease of age-standardised annual incidence proportion during the study period, from 7.5% in 2006/2007 to 5.8% in 2019/2020. The decrease was highest after 2016/2017, reaching 5.5% annual percentage change. Median daily dose and days' supply decreased from 27 to 25 morphine milligram equivalent/day and from 5 to 4 days between 2006/2007 and 2019/2020, respectively. Between 2006/2007 and 2019/2020, these prescriptions' most likely clinical indications increased for cancer pain from 34% to 48%, for surgical pain from 31% to 36% and for dental pain from 9% to 11%. Inversely, the musculoskeletal pain decreased from 13% to 2%. There was good consistency between the clinical indications identified by the algorithm and prescriber's specialty or user's characteristics. CONCLUSIONS: New opioid prescription claims (incidence, dose and days' supply) decreased slightly over the last 14 years among QPDIP enrollees, especially after 2016/2017. Non-surgical and non-cancer pain became less common as their clinical indication.

Spatial-temporal Bayesian accelerated failure time models for survival endpoints with applications to prostate cancer registry data.

Prostate cancer is the most common cancer after non-melanoma skin cancer and the second leading cause of cancer deaths in US men. Its incidence and mortality rates vary substantially across geographical regions and over time, with large disparities by race, geographic regions (i.e., Appalachia), among others. The widely used Cox proportional hazards model is usually not applicable in such scenarios owing to the violation of the proportional hazards assumption. In this paper, we fit Bayesian accelerated failure time models for the analysis of prostate cancer survival and take dependent spatial structures and temporal information into account by incorporating random effects with multivariate conditional autoregressive priors. In particular, we relax the proportional hazards assumption, consider flexible frailty structures in space and time, and also explore strategies for handling the temporal variable. The parameter estimation and inference are based on a Monte Carlo Markov chain technique under a Bayesian framework. The deviance information criterion is used to check goodness of fit and to select the best candidate model. Extensive simulations are performed to examine and compare the performances of models in different contexts. Finally, we illustrate our approach by using the 2004-2014 Pennsylvania Prostate Cancer Registry data to explore spatial-temporal heterogeneity in overall survival and identify significant risk factors.

Supporting the decision to perform molecular profiling for cancer patients based on routinely collected data through the use of machine learning.

BACKGROUND: Personalized medicine offers targeted therapy options for cancer treatment. However, the decision whether to include a patient into next-generation sequencing (NGS) testing is not standardized. This may result in some patients receiving unnecessary testing while others who could benefit from it are not tested. Typically, patients who have exhausted conventional treatment options are of interest for consideration in molecularly targeted therapy. To assist clinicians in decision-making, we developed a decision support tool using routine data from a precision oncology program. METHODS: We trained a machine learning model on clinical data to determine whether molecular profiling should be performed for a patient. To validate the model, the model's predictions were compared with decisions made by a molecular tumor board (MTB) using multiple patient case vignettes with their characteristics. RESULTS: The prediction model included 440 patients with molecular profiling and 13,587 patients without testing. High area under the curve (AUC) scores indicated the importance of engineered features in deciding on molecular profiling. Patient age, physical condition, tumor type, metastases, and previous therapies were the most important features. During the validation MTB experts made the same decision of recommending a patient for molecular profiling only in 10 out of 15 of their previous cases but there was agreement between the experts and the model in 9 out of 15 cases. CONCLUSION: Based on a historical cohort, our predictive model has the potential to assist clinicians in deciding whether to perform molecular profiling.

Five-year results from a prospective, single-arm European trial on decellularized allografts for aortic valve replacement-the ARISE Study and ARISE Registry Data.

OBJECTIVES: Decellularized aortic homografts (DAH) were introduced as a new option for aortic valve replacement for young patients. METHODS: A prospective, EU-funded, single-arm, multicentre study in 8 centres evaluating non-cryopreserved DAH for aortic valve replacement. RESULTS: A total of 144 patients (99 male) were prospectively enrolled in the ARISE Trial between October 2015 and October 2018 with a median age of 30.4 years [interquartile range (IQR) 15.9-55.1]; 45% had undergone previous cardiac operations, with 19% having 2 or more previous procedures. The mean implanted DAH diameter was 22.6 mm (standard deviation 2.4). The median operation duration was 312 min (IQR 234-417), the median cardiopulmonary bypass time was 154 min (IQR 118-212) and the median cross-clamp time 121 min (IQR 93-150). No postoperative bypass grafting or renal replacement therapy were required. Two early deaths occurred, 1 due to a LCA thrombus on day 3 and 1 due ventricular arrhythmia 5 h postoperation. There were 3 late deaths, 1 death due to endocarditis 4 months postoperatively and 2 unrelated deaths after 5 and 7 years due to cancer and Morbus Wegener resulting in a total mortality of 3.47%. After a median follow-up of 5.9 years [IQR 5.1-6.4, mean 5.5 years. (standard deviation 1.3) max. 7.6 years], the primary efficacy end-points peak gradient with median 11.0 mmHg (IQR 7.8-17.6) and regurgitation of median 0.5 (IQR 0-0.5) of grade 0-3 were excellent. At 5 years, freedom from death/reoperation/endocarditis/bleeding/thromboembolism were 97.9%/93.5%/96.4%/99.2%/99.3%, respectively. CONCLUSIONS: The 5-year results of the prospective multicentre ARISE trial continue to show DAH to be safe for aortic valve replacement with excellent haemodynamics.

Clinical factors associated with severity in patients with inflammatory bowel disease in Brazil based on 2-year national registry data from GEDIIB.

The Brazilian Organization for Crohn's Disease and Colitis (GEDIIB) established a national registry of inflammatory bowel disease (IBD). The aim of the study was to identify clinical factors associated with disease severity in IBD patients in Brazil. A population-based risk model aimed at stratifying the severity of IBD based on previous hospitalization, use of biologics, and need for surgery for ulcerative colitis (UC) and Crohn's Disease (CD) and on previous complications for CD. A total of 1179 patients (34.4 ± 14.7y; females 59%) were included: 46.6% with UC, 44.2% with CD, and 0.9% with unclassified IBD (IBD-U). The time from the beginning of the symptoms to diagnosis was 3.85y. In CD, 41.2% of patients presented with ileocolic disease, 32% inflammatory behavior, and 15.5% perianal disease. In UC, 46.3% presented with extensive colitis. Regarding treatment, 68.1%, 67%, and 47.6% received biological therapy, salicylates and immunosuppressors, respectively. Severe disease was associated with the presence of extensive colitis, EIM, male, comorbidities, and familial history of colorectal cancer in patients with UC. The presence of Montreal B2 and B3 behaviors, colonic location, and EIM were associated with CD severity. In conclusion, disease severity was associated with younger age, greater disease extent, and the presence of rheumatic EIM.

Adult genitourinary sarcoma: analysis using hospital-based cancer registry data in Japan.

BACKGROUND: Genitourinary sarcomas are rare in adults and few large-scale studies on adult genitourinary sarcoma are reported. We aimed to elucidate the clinical characteristics, survival outcomes, and prognostic factors for overall survival of adult genitourinary sarcoma in Japan. METHODS: A hospital-based cancer registry data in Japan was used to identify and enroll patients diagnosed with genitourinary sarcoma in 2013. The datasets were registered from 121 institutions. RESULTS: A total of 116 men and 39 women were included, with a median age of 66 years. The most common primary site was the kidney in 47 patients, followed by the paratestis in 36 patients. The most common histological type was liposarcoma in 54 patients, followed by leiomyosarcoma in 25 patients. The 5-year overall survival rates were 57.6%. On univariate analysis, male gender, paratestis as primary organ, and histological subtype of liposarcoma were predictive of favorable survival while primary kidney, bladder, or prostate gland location were predictive of unfavorable survival. On multivariate analysis, primary paratestis was an independent predictor of favorable survival while primary kidney, bladder, or prostate gland were independent predictors of unfavorable survival. CONCLUSIONS: This is the first report showing the clinical characteristics and survival outcomes of adult genitourinary sarcoma in Japan using a real-world large cohort database.

Changes in the Epidemiologic Pattern of Primary CNS Tumors in Response to the Aging Population: An Updated Nationwide Cancer Registry Data in the Republic of Korea.

PURPOSE: Primary CNS tumors (PCNSTs) are tumors originating from the brain and surrounding tissues. These tumors account for a significant proportion of cancer deaths and morbidity globally. Accurate epidemiologic data are essential for shaping clinical practices, research priorities, and health care policies. This study presents the latest 2020 national data on PCNSTs from the Republic of Korea (ROK) and explores the trends in incidence and their societal implications in the context of an aging population. METHODS: This is a cross-sectional, observational study conducted using data sourced from the Korea National Cancer Incidence Database by the Korea Central Cancer Registry. The study analyzed national data on PCNSTs in the ROK for the years 2010, 2013, 2016, and 2020. RESULTS: In 2020, 15,568 new PCNST cases were diagnosed in the ROK. The overall crude rate was 30.32, and the age-standardized rate was 19.37 per 100,000 persons. A decade-long trend analysis revealed an increasing trend in newly diagnosed glioblastoma and lymphoma, and a decreasing trend in embryonal tumors, in relation to the aging population of the ROK. CONCLUSION: This study shows the significant impact of demographic shifts on the epidemiologic patterns of PCNSTs in the ROK. Our findings emphasize the need for collaborative efforts to address the rising challenges posed by the changing incidence of PCNSTs related to an aging population.

Complication reporting in trauma: An environmental scan and comparison of nationwide trauma registry data.

BACKGROUND: To explore variability in quality measurement, this study aimed to compare abstraction and definitions of complications reported across trauma registries in Canada. METHODS: A literature search was performed to identify active trauma registries used in Canadian hospitals. Registry characteristics, data abstraction, and reported complications and definitions based on registry data dictionaries were compared. RESULTS: Nine registries were included, most of which were provincial-level registries (67 â€‹%). A total of 53 individual complications were identified. Twenty-one (40 â€‹%) were recorded by only one registry each whereas 5 (9 â€‹%) were collected by all. Of the 32 complications collected by â€‹> â€‹1 registry, 18 (56 â€‹%) had different definitions. Of the 18 with different definitions, 12 (67 â€‹%), 5 (28 â€‹%), and 1 (6 â€‹%) had 2, 3, and 4 different definitions across registries, respectively. CONCLUSIONS: Complications reported by trauma registries are variable. Reliable benchmarking is likely challenging, and efforts to standardize complication reporting may be a valuable undertaking.

The epidemiology and societal costs of myasthenia gravis in Norway: A non-interventional study using national registry data.

BACKGROUND AND PURPOSE: With the emergence of new treatment options for myasthenia gravis (MG), there is a need for information regarding epidemiology, healthcare utilization, and societal costs to support economic evaluation and identify eligible patients. We aimed to enhance the understanding of these factors using nationwide systematic registry data in Norway. METHODS: We received comprehensive national registry data from five Norwegian health- and work-related registries. The annual incidence and prevalence were estimated for the period 2013-2021 using nationwide hospital and prescription data. The direct, indirect (productivity losses) and intangible costs (value of lost life-years [LLY] and health-related quality of life [HRQoL]) related to MG were estimated over a period of 1 year. RESULTS: In 2021, the incidence of MG ranged from 15 to 16 cases per year per million population depending on the registry used, while the prevalence varied between 208.9 and 210.3 per million population. The total annual societal costs of MG amounted to EUR 24,743 per patient, of which EUR 3592 (14.5%) were direct costs, EUR 8666 (35.0%) were productivity loss, and EUR 12,485 (50.5%) were lost value from LLY and reduced HRQoL. CONCLUSION: The incidence and prevalence of MG are higher than previously estimated, and the total societal costs of MG are substantial. Our findings demonstrate that productivity losses, and the value of LLY and HRQoL constitute a considerable proportion of the total societal costs.

Eligibility of patients with chronic obstructive pulmonary disease for inclusion in randomised control trials investigating triple therapy: a study using routinely collected data.

BACKGROUND: Randomised control trials (RCTs) with strict eligibility criteria can lead to trial populations not commonly seen in clinical practice. We described the proportion of people with chronic obstructive pulmonary disease (COPD) in England eligible for RCTs investigating treatment with triple therapy. METHODS: MEDLINE and Clinicaltrials.gov were searched for RCTs investigating triple therapy and eligibility criteria for each trial were extracted. Using routinely collected primary care data from Clinical Practice Research Datalink Aurum linked with Hospital Episode Statistics, we defined a population of COPD patients registered at a general practice in England, who were ≥ 40 years old, and had a history of smoking. Inclusion date was January 1, 2020. Patients who died earlier or left the general practice were excluded. Eligibility criteria for each RCT was applied to the population of COPD patients and the proportion of patients meeting each trial eligibility criteria were described. RESULTS: 26 RCTs investigating triple therapy were identified from the literature. The most common eligibility criteria were post-bronchodilator FEV1% predicted 30-80%, ≥ 2 moderate/≥ 1 severe exacerbations 12-months prior, no moderate exacerbations one-month prior and no severe exacerbations three-months prior, and the use of maintenance therapy or ICS use prior to inclusion. After applying each RCT eligibility criteria to our population of 79,810 COPD patients, a median of 11.2% [interquartile range (IQR) 1.8-17.4] of patients met eligibility criteria. The most discriminatory criteria included the presence exacerbations of COPD and previous COPD related medication use with a median of 67.6% (IQR 8.5-73.4) and 63% (IQR 69.3-38.4) of COPD patients not meeting these criteria, respectively. CONCLUSION: Data from these RCTs may not be generalisable to the wider population of people with COPD seen in everyday clinical practice and real-world evidence studies are needed to supplement trials to understand effectiveness in all people with COPD.

Cancer survivor late-effects, chronic health problems after cancer treatment: what's the evidence from population and registry data and where are the gaps?

PURPOSE OF REVIEW: Improvements in cancer treatment have led to more people living with and beyond a cancer diagnosis but survivors may have increased health problems as they age. The purpose of this review is to critically evaluate population data exploring incidence of late effects for cancer survivors. RECENT FINDINGS: 18 studies were identified between 2013 and 2023 that explored the impact on survivors' physical and emotional health. Patients who had been treated at least 2 years previously for cancer had significant cardiovascular risk factors compared with age-matched controls. Women with breast cancer were more likely to have cardiovascular disease, including hypertension, arrythmias and congestive heart failure. This was associated with anthracyclines and/or trastuzumab as part of systemic anti-cancer therapy. Survivors of colorectal cancer were three times more likely to have acute kidney injury than age-matched controls. Stress and mood disorders were higher in survivors of testicular cancer and prostate cancer. SUMMARY: Population studies are important to identify the 'real world' consequences of cancer and its treatment beyond clinical trials. Knowledge is critical for managing an ageing cancer population. Data to personalise cancer survivorship care, not only helps determine potential health risks, but can improve secondary prevention, emotional health, recovery, and long-term outcomes.

The prognostic impact of treatment centralization in patients with testicular germ cell tumors: analysis of hospital-based cancer registry data in Japan.

BACKGROUND: To identify the prognostic impact of treatment centralization in patients with testicular germ cell tumors (TGCT). METHODS: We used a hospital-based cancer registry data in Japan to extract seminoma and non-seminoma cases that were diagnosed in 2013, histologically confirmed, and received the first course of treatment. To compare the 5-years overall survival (OS) rates of patients stratified by institutional care volume, we performed a Cox proportional hazards regression analysis using inverse probability of treatment weighting (IPTW) method to adjust patient backgrounds. RESULTS: A total of 1767 TGCT patients were identified. The 5-years OS rates for stage II and III TGCT patients treated at low-volume institutions (< 7 cases) were significantly worse than high-volume institutions (≥ 7 cases) (91.2% vs. 83.4%, p = 0.012). Histological stratification revealed that 5-year OS rates for stage II and III seminoma patients in the low-volume group were significantly worse than the high-volume group (93.5% vs. 84.5%, p = 0.041). Multivariate OS analysis using an IPTW-matched cohort showed that institutional care volume was an independent prognostic factor (hazard ratio 2.13 [95% confidence interval: 1.23-3.71], p = 0.0072). CONCLUSION: Our results indicate that stage II and III TGCT patients experience lower survival rates at low-volume institutions and would benefit from treatment centralization.

Epidemiology of gastroenteropancreatic neuroendocrine neoplasms: a review and protocol presentation for bridging tumor registry data with the Italian association for neuroendocrine tumors (Itanet) national database.

Neuroendocrine neoplasms (NENs) are rare tumors with diverse clinical behaviors. Large databases like the Surveillance, Epidemiology, and End Results (SEER) program and national NEN registries have provided significant epidemiological knowledge, but they have limitations given the recent advancements in NEN diagnostics and treatments. For instance, newer imaging techniques and therapies have revolutionized NEN management, rendering older data less representative. Additionally, crucial parameters, like the Ki67 index, are missing from many databases. Acknowledging these gaps, the Italian Association for Neuroendocrine Tumors (Itanet) initiated a national multicenter prospective database in 2019, aiming to gather data on newly-diagnosed gastroenteropancreatic neuroendocrine (GEP) NENs. This observational study, coordinated by Itanet, includes patients from 37 Italian centers. The database, which is rigorously maintained and updated, focuses on diverse parameters including age, diagnostic techniques, tumor stage, treatments, and survival metrics. As of October 2023, data from 1,600 patients have been recorded, with an anticipation of reaching 3600 by the end of 2025. This study aims at understanding the epidemiology, clinical attributes, and treatment strategies for GEP-NENs in Italy, and to introduce the Itanet database project. Once comprehensive follow-up data will be acquired, the goal will be to discern predictors of treatment outcomes and disease prognosis. The Itanet database will offer an unparalleled, updated perspective on GEP-NENs, addressing the limitations of older databases and aiding in optimizing patient care. STUDY REGISTRATION: This protocol was registered in clinicaltriasl.gov (NCT04282083).

Editorial Commentary: Artificial Intelligence Analysis of Biomedical, Large, Clinical Registry Data Using Machine Learning Requires Tens of Thousands of Subjects and a Focus on Substantial Clinical Benefit: Minimal Clinically Important Difference Is too Low a Bar.

As the field of arthroscopic hip preservation surgery grows, large high-quality registries represent a foundational study design for establishing whether hip arthroscopy is effective for patients with femoroacetabular impingement syndrome (FAIS). Original research publications from experienced high-volume surgeons tell us "Can it work". A registry tells us "Does it work?". The ability of preservation to truly preserve the joint, delay the arthritis process, and reduce the risk of arthroplasty requires long-term follow-up. A geographic registry can follow this. The registry represents the "real world", a heterogeneous set of variables pertaining to the doctor, patient, intervention, and outcome. The vast array of factors that can be analyzed before, during, and after surgery makes machine learning an ideal technique for analysis of large quantities of data. A global hip preservation surgery registry is a desirable and achievable goal. In order to optimally predict outcome of hip arthroscopy, given the known large number of patient- and hip-specific factors that influence outcomes, a deep learning model with tens of thousands of subjects for this medium-scale task would be needed. Measures of clinical relevance need to include more than just MCID (minimal clinically important difference), which is the lowest bar minimal threshold. Patient expectations often far exceed MCID-requiring other metrics like SCB (substantial clinical benefit), PASS (patient acceptable symptom state), and MOI (maximal outcome improvement). Registries should include validated, reliable, and responsive patient-reported outcome scores (e.g., International Hip Outcome Tool [iHOT-12]) with measures of clinical relevance and expectations assessed routinely. The United Kingdom's NAHR (Non-Arthroplasty Hip Registry) and Denmark's DHAR (Danish Hip Arthroscopy Registry) are the two largest geography-based registries in current hip preservation research both with 11 years of patient enrollment.

Rhode Island (RI) Women's Breast Cancer Mammography Use Prior to and After Cancer Diagnosis: Linkage of RI Cancer Registry Data With RI All-Payer Claims Database.

OBJECTIVE: A limitation of the central cancer registries to examine associations between mammography use and cancer diagnosis is their lack of cancer screening history. To fill this measurement gap, Rhode Island Cancer Registry (RICR) breast cancer (BC) records were linked to Rhode Island-all-payer claims database (RI-APCD) to study Rhode Island (RI) women's regular mammography use and identify its predictors. METHODS: From the linked 2011-2019 data, we identified 4 study cohorts: (1) women who ever received mammography by Women's Cancer Screening Program (WCSP) and were diagnosed with BC ("WCSP-BC" cohort: n = 149), (2) women diagnosed with BC outside of WCSP (BC-control cohort: n = 4304), (3) women with a history of mammography use at WCSP but no BC diagnosis (n = 6513), and (4) general RI women with no BC diagnosis (n = 15 121). Logistic regressions were conducted to identify predictors of regular mammography use. RESULTS: The linkage for RI-APCD and RICR for our study had a high matching rate of 82%. Mammography use prior to BC diagnosis was not different between the WCSP-BC cohort and the BC-control cohort (58% vs 57%). Women in the BC-control cohort who had mammography in 2 years prior to their cancer diagnosis were more likely of being diagnosed at an early-stage disease. Among BC-control group, women with no anxiety/depression or with no preventive examinations were less likely of regular mammography use. Among women with no BC, a lower proportion of women with a history of screening at WCSP had regular mammography use, compared with the general RI women (38% vs 66%). CONCLUSION: RI-APCD data linkage with RICR provides excellent opportunities to examine regular mammography use among RI women and compare their outcomes to the general women population in the state. We identified opportunities for improving their mammography use. A measurement gap in the central cancer registries can be effectively reduced by utilizing statewide claims database.

Cardiovascular-specific mortality and risk factors in colorectal Cancer patients: A cohort study based on registry data of over 500,000 individuals in the US.

BACKGROUND: Colorectal cancer (CRC) is one of the most common cancers worldwide, and recent studies have found that CRC patients are at increased risk for cardiovascular disease (CVD). This study aimed to investigate competing causes of death and prognostic factors among a large cohort of CRC patients and to describe cardiovascular-specific mortality in relation to the US standard population. METHODS: This registry-based cohort study identified patients diagnosed with CRC between 1973 and 2015 from the Surveillance, Epidemiology, and End Results (SEER) database in the US. Cumulative mortality functions, conditional standardized mortality ratios, and cause-specific hazard ratios were calculated. RESULTS: Of the 563,298 eligible CRC patients included in this study, 407,545 died during the follow-up period. CRC was the leading cause of death, accounting for 49.8% of all possible competing causes of death. CVD was the most common non-cancer cause of death, accounting for 17.8% of total mortality. This study found that CRC patients have a significantly increased risk of cardiovascular-specific mortality compared to the US standard population, with the risk increasing with age and extended survival time. CONCLUSION: This study highlights the need to develop multidisciplinary prevention and management strategies for CRC and CVD to improve CRC patients' survival and quality of life.

Timing of microsurgical resection for ruptured brain arteriovenous malformations: a propensity score-matched analysis using prospective single-center registry data.

OBJECTIVE: The optimal microsurgical timing in ruptured brain arteriovenous malformations (AVMs) is not well understood and is surrounded by controversy. This study aimed to elucidate the impacts of microsurgical resection timing on clinical outcomes. METHODS: The authors retrieved and reviewed the records on all ruptured AVMs treated at their institution and registered in a nationwide multicenter prospective collaboration registry between August 2011 and August 2021. Patients were dichotomized into an early resection group (≤ 30 days from the last hemorrhagic stroke) and a delayed resection group (> 30 days after the last hemorrhagic stroke). Propensity score-matched analysis was used to compare long-term outcomes. The primary outcome was neurological status as assessed using the modified Rankin Scale (mRS). The secondary outcomes were complete obliteration rate, postoperative seizure, and postoperative hemorrhage. RESULTS: Of the 3649 consecutive AVMs treated at the authors' institution, a total of 558 ruptured AVMs were microsurgically resected and had long-term follow-up. After propensity score matching, 390 ruptured AVMs (195 pairs) were included in the comparison of outcomes. The mean (± standard deviation) clinical follow-up duration was 4.93 ± 2.94 years in the early resection group and 5.61 ± 2.56 years in the delayed resection group. Finally, as regards the distribution of mRS scores, short-term neurological outcomes were better in the delayed resection group (risk difference [RD] 0.3%, 95% CI -0.1% to 0.6%, p = 0.010), whereas long-term neurological outcomes were similar between the two groups (RD 0.0%, 95% CI -0.2% to 0.2%, p = 0.906). Long-term favorable neurological outcomes (early vs delayed: 90.8% vs 90.3%, p > 0.999; RD 0.5%, 95% CI -5.8% to 6.9%; RR 1.01, 95% CI 0.94-1.07) and long-term disability (9.2% vs 9.7%, p > 0.999; RD -0.5%, 95% CI -6.9% to 5.8%; RR 0.95, 95% CI 0.51-1.75) were also similar between these groups. In terms of secondary outcomes, postoperative seizure (early vs delayed: 8.7% vs 5.6%, p = 0.239; RD 3.1%, 95% CI -2.6% to 8.8%; RR 1.55, 95% CI 0.74-3.22), postoperative hemorrhage (1.0% vs 1.0%, p > 0.999; RD 0.0%, 95% CI -3.1% to 3.1%; RR 1.00, 95% CI 0.14-7.04), and hospitalization time (16.4 ± 8.5 vs 19.1 ± 7.9 days, p = 0.793) were similar between the two groups, whereas early resection had a lower complete obliteration rate (91.3% vs 99.0%, p = 0.001; RD -7.7%, 95% CI -12.9% to 3.1%; RR 0.92, 95% CI 0.88-0.97). CONCLUSIONS: Early and delayed resection of ruptured AVMs had similar long-term neurological outcomes. Delayed resection can lead to a higher complete obliteration rate, although the risk of rerupture during the resection waiting period should be vigilantly monitored.

Comparison of Vital Status, Cause of Death, and Follow-Up after Hematopoietic Cell Transplantation in Linked Center for International Blood and Marrow Transplant Research and California Cancer Registry Data, 1991 to 2018.

Assessing outcomes following hematopoietic cell transplantation (HCT) poses challenges due to the necessity for systematic and often prolonged patient follow-up. Linking the HCT database of the Center for International Blood and Marrow Transplant Research (CIBMTR) with cancer registry data may improve long-term outcome ascertainment, but the reliability of mortality data in death certificates from cancer registries among HCT recipients remains unknown. We compared the classification of vital status and primary cause of death (COD), as well as the length of follow-up between the CIBMTR and California Cancer Registry (CCR) to assess the possibility of supplementing the CIBMTR with cancer registry data. This retrospective study leveraged a linked CIBMTR-CCR dataset. We included patients who were California residents at the time of HCT and received a first allogeneic (allo) or autologous (auto) HCT for a hematologic malignancy diagnosed during 1991-2016. Follow-up was through 2018. We analyzed 18,450 patients (alloHCT, n = 8232; autoHCT, n = 10,218). The Vital status agreement was 97.7% for alloHCT and 97.2% for autoHCT. Unknown COD was higher in CIBMTR (12.9%) than in CCR (1.6%). After excluding patients with unknown COD information, the overall agreement of primary COD (cancer versus noncancer) was 53.7% for alloHCT and 83.2% for autoHCT. This agreement was lower within the first 100 days post-HCT (alloHCT, 31.0%; autoHCT, 54.6%). Compared with CIBMTR, deaths due to cancer were higher in CCR (alloHCT, 90.0%; autoHCT, 90.1% versus alloHCT, 47.3%; autoHCT, 82.5% in CIBMTR). CIBMTR reports more frequently noncancer-related deaths, including graft-versus-host disease and infections. The cumulative incidence of cancer-specific mortality at 20 years differed, particularly for alloHCT (CCR, 53.7%; CIBMTR, 27.6%). The median follow-up among alive patients was longer in CCR (alloHCT, 6.0 years; autoHCT, 4.7 years) than in CIBMTR (alloHCT, 5.0 years; autoHCT, 3.8 years). Our findings highlight the completeness of vital status data in CIBMTR but reveal substantial disagreement in primary COD. Consequently, caution is required when interpreting HCT studies that use only death certificates to estimate cause-specific mortality outcomes. Improving the accuracy of COD registration and follow-up completeness by developing communication pathways between cancer registries and hospital-based cohorts may enhance our understanding of late effects and long-term outcomes among HCT survivors.

Do age at diagnosis, tumour thickness and tumour site explain sex differences in melanoma survival? A causal mediation analysis using cancer registry data.

Women diagnosed with melanoma have better survival than men, but little is known about potential intervention targets to reduce this survival gap by sex. We conducted a population-based study using Victorian Cancer Registry data including 5833 women and 6780 men aged 15 to 70 years when diagnosed with first primary melanoma between 2007 and 2015. Deaths to the end of 2020 were identified through linkage to the Victorian and national death registries. We estimated the effect of age at diagnosis, tumour thickness and tumour site on reducing the melanoma-specific survival gap by sex (ie, interventional indirect effects [IIEs]) on risk difference (RD) scale. Compared to women, there were 211 (95% CI: 145-278) additional deaths per 10 000 in men within 5 years following diagnosis. We estimated that 44% of this gap would be reduced by a hypothetical intervention shifting the distribution of melanoma thickness in men to be the same as that observed for women (IIEthickness RD 93 [95% CI: 75-118] per 10 000) and 20% by an intervention on tumour site (head and neck/trunk vs upper limb/lower limb; IIEsite RD 42 [95% CI: 15-72] per 10 000), while an intervention on age at diagnosis would have a negligible effect. Tumour thickness, tumour site and age at diagnosis mediated 65% of the effect of sex on 5-year melanoma survival in Victoria. Of these factors, tumour thickness had the most considerable mediating effect, suggesting that effective promotion of earlier detection of melanoma in men could potentially nearly halve the gap in melanoma-specific survival by sex.