Epidemiology and Molecular Profile of Mucosal Melanoma: A Population-Based Study in Southern Europe by Anna Carbó-Bagué, Jordi Rubió-Casadevall, Montserrat Puigdemont, Arantza Sanvisens, Glòria Oliveras, Mònica Coll, Bernat del Olmo, Ferran Perez-Bueno, Rafael Marcos-Gragera

“…Methods: We analyzed the database of the Cancer Registry of Girona, a region located in the north-east of Spain, in the period of 1994–2018. …”
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Myelodysplastic Syndromes in Ukraine: A 25-year Single Institution Analysis by T.S. Ivanivskaya, D.F. Gluzman, A.A. Philchenkov, S.V. Koval, M.P. Zavelevich

“…Background and Objectives: Until recently, MDS have not been reported as the separate entry in National Cancer Registry of Ukraine. According to the latest edition of Cancer in Five Continents (2017), the age-standardized MDS incidence in Ukraine in 2008–2012 was 0.2 and 0.1 per 100,000 of male and female population, respectively. …”
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Does access to health services influence the diagnostic pathway and outcome from cancer: analysis of a linked dataset. by Melanie Turner, Shona Fielding, Peter Murchie

“…Approach Routine clinical data from Scottish Morbidity Record (SMR) 01, Scottish Cancer Registry SMR 06, and Geographical Information Systems (GIS) derived measures of road distances and travelling times from key healthcare facilities have been linked to a clinical tracking database, NHS Grampian Cancer Care Pathway to form the Northeast and Aberdeen Scotland Cancer and Residence (NASCAR) database. …”
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Impact of Sepsis on the Oncologic Outcomes of Advanced Epithelial Ovarian Cancer Patients: A Multicenter Observational Study by Sherin A. Said, Joanne A. de Hullu, Maaike A. van der Aa, Janneke E. W. Walraven, Ruud L. M. Bekkers, Brigitte F. M. Slangen, Peter Pickkers, Anne M. van Altena

“…Survival outcomes were compared with advanced-stage EOC patients from the Netherlands Cancer Registry (NCR). To correct for case-mix differences, propensity score matching using 1:3 nearest neighbor matching was conducted after which survival analyses were repeated. …”
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Analysis and prediction of relative survival trends in patients with non-Hodgkin lymphoma in the United States using a model-based period analysis method by Shuping Xie, Shuping Xie, Zhong Yu, Aozi Feng, Shuai Zheng, Yunmei Li, You Zeng, Jun Lyu, Jun Lyu

“…This study aims to analyze the 5-year relative survival of non-Hodgkin lymphoma (NHL) in United States using population-based cancer registry data.MethodsA period analysis was used to evaluate the improvement in long-term prognosis of patients with NHL from 2004 to 2018, and a generalized linear model was developed to predict the 5-year relative survival rates of patients during 2019–2023 based on data from the SEER database stratified by age, sex, race and subtype.ResultsIn this study, relative survival improved for all NHL, although the extent of improvement varied by sex, age group and lymphoma subtype. …”
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Neighborhood social vulnerability and disparities in time to kidney cancer surgical treatment and survival in Arizona by Celina I. Valencia, Patrick Wightman, Kristin E. Morrill, Chiu‐Hsieh Hsu, Hina Arif‐Tiwari, Eric Kauffman, Francine C. Gachupin, Juan Chipollini, Benjamin R. Lee, David O. Garcia, Ken Batai

“…This study assessed: (1) whether racial and ethnic minority patients and patients from neighborhoods with high social vulnerability index (SVI) experience a longer time to surgery after clinical diagnosis, and (2) whether time to surgery, race and ethnicity, and SVI are associated with upstaging to pT3/pT4, disease‐free survival (DFS), and overall survival (OS). Methods Arizona Cancer Registry (2009–2018) kidney and renal pelvis cases (n = 4592) were analyzed using logistic regression models to assess longer time to surgery and upstaging. …”
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Adherence to Mediterranean Diet, Physical Activity and Survival after Prostate Cancer Diagnosis by Matteo Di Maso, Livia S. A. Augustin, Federica Toffolutti, Carmen Stocco, Luigino Dal Maso, David J. A. Jenkins, Neil E. Fleshner, Diego Serraino, Jerry Polesel

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Pathways between objective and perceived neighborhood factors among Black breast cancer survivors by Jesse J. Plascak, Adana A. M. Llanos, Stephen J. Mooney, Andrew G. Rundle, Bo Qin, Yong Lin, Karen S. Pawlish, Chi-Chen Hong, Kitaw Demissie, Elisa V. Bandera

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Multifactor dimensionality reduction method identifies novel SNP interactions in the WNT protein interaction networks that are associated with recurrence risk in colorectal cancer by Aaron A. Curtis, Yajun Yu, Megan Carey, Patrick Parfrey, Yildiz E. Yilmaz, Sevtap Savas, Sevtap Savas

“…BackgroundInteractions among genetic variants are rarely studied but may explain a part of the variability in patient outcomes.ObjectivesIn this study, we aimed to identify 1 to 3 way interactions among SNPs from five Wnt protein interaction networks that predict the 5-year recurrence risk in a cohort of stage I-III colorectal cancer patients.Methods423 patients recruited to the Newfoundland Familial Colorectal Cancer Registry were included. Five Wnt family member proteins (Wnt1, Wnt2, Wnt5a, Wnt5b, and Wnt11) were selected. …”
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Severe <i>Salmonella</i> spp. or <i>Campylobacter</i> spp. Infection and the Risk of Biliary Tract Cancer: A Population-Based Study by Elise de Savornin Lohman, Janneke Duijster, Bas Groot Koerkamp, Rachel van der Post, Eelco Franz, Lapo Mughini Gras, Philip de Reuver

“…National infectious diseases surveillance records of patients diagnosed with a laboratory-confirmed <i>Salmonella</i> or <i>Campylobacter</i> spp. infection during 1999–2016 were linked to the Netherlands Cancer Registry. Incidence of BTC in <i>Salmonella</i> and <i>Campylobacter</i> spp. patients was compared to the incidence of BTC in the general population using Standardized Incidence Ratios (SIRs). …”
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Renal cell carcinoma: the population, real world, and cost-of-illness by Alessandra Buja, Giuseppe De Luca, Maura Gatti, Claudia Cozzolino, Massimo Rugge, Manuel Zorzi, Mario Gardi, Matteo Sepulcri, Davide Bimbatti, Vincenzo Baldo, Marco Maruzzo, Umberto Basso, Vittorina Zagonel

“…Methods This investigation is a population-based cohort study using real-world data, which considers all RCC incident cases diagnosed in Local Unit 6 of the Province of Padua in 2016 and 2017 as registered by the Veneto Cancer Registry. Data on drug prescriptions, the use of medical devices, hospital admissions, and visits to outpatient clinics and emergency departments were collected by means of administrative databases. …”
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Association between obstructive sleep apnoea and cancer: a cross-sectional, population-based study of the DISCOVERY cohort by Josefin Sundh, Andreas Palm, Ludger Grote, Mirjam Ljunggren, J Theorell-Haglöw, Magnus Per Ekström, Johan Isakson

“…We aimed to investigate the association between OSA measures and cancer prevalence in a large national patient cohort.Design Cross-sectional study.Settings 44 sleep centres in Sweden.Participants 62 811 patients from the Swedish registry for positive airway pressure (PAP) treatment in OSA, linked to the national cancer registry and national socioeconomic data (the course of DIsease in patients reported to Swedish CPAP, Oxygen and VEntilator RegistrY cohort).Outcome measures After propensity score matching for relevant confounders (anthropometric data, comorbidities, socioeconomic status, smoking prevalence), sleep apnoea severity, measured as Apnoea-Hypopnoea Index (AHI) or Oxygen Desaturation Index (ODI), were compared between those with and without cancer diagnosis up to 5 years prior to PAP initiation. …”
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Quality of life after pediatric cancer: comparison of long-term childhood cancer survivors’ quality of life with a representative general population sample and associations with ph... by Mareike Ernst, Andreas Hinz, Elmar Brähler, Hiltrud Merzenich, Jörg Faber, Philipp S. Wild, Manfred E. Beutel

“…Abstract Background This study aimed to compare the quality of life (QoL) reported by childhood cancer survivors (CCS) drawn from a cohort of the German Childhood Cancer Registry with a representative general population sample and, within CCS, to test associations between QoL and health behavior, health risk factors, and physical illness. …”
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Identifying monoclonal gammopathy of undetermined significance from electronic health records by Hilary C. Tanenbaum, Brenda M. Birmann, Kimberly A. Bertrand, Lauren R. Teras, Amrita Y. Krishnan, Hoda Pourhassan, Scott Goldsmith, Kimberly Cannavale, Sophia S. Wang, Chun R. Chao

“…Methods and Results Data were retrieved from Kaiser Permanente Southern California's comprehensive electronic health records, which contain documentation of all outpatient and inpatient visits, laboratory tests, diagnosis codes and a cancer registry. We ascertained potential MGUS cases diagnosed between 2008 and 2014 using the presence of an MGUS ICD‐9 diagnosis code (273.1). …”
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Novel Algorithm for the Estimation of Cancer Incidence Using Claims Data in Japan: A Feasibility Study by Toshio Ogawa, Hirokazu Takahashi, Hiroshi Saito, Motoyasu Sagawa, Daisuke Aoki, Kazuo Matsuda, Tomio Nakayama, Yoshio Kasahara, Katsuaki Kato, Eiko Saitoh, Tohru Morisada, Kumiko Saika, Norie Sawada, Yasushi Matsumura, Tomotaka Sobue

“…We estimated the cancer incidence of the five cancer sites and compared it with the Japan National Cancer Registry incidence (calculated standardized incidence ratio with 95% CIs).RESULTSThe number of patients with newly diagnosed cancer ranged from 219 to 17,840 by the sites, algorithms, and exclusion criteria. …”
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Risk of 16 cancers across the full glycemic spectrum: a population-based cohort study using the UK Biobank by Liam Smeeth, Nish Chaturvedi, Rohini Mathur, Krishnan Bhaskaran, Christopher T Rentsch, Ruth E Farmer, Victoria Garfield, Sophie V Eastwood, Aliki-Eleni Farmaki

“…We investigated associations between glycosylated hemoglobin (HbA1c) across the whole glycemic spectrum and incidence of 16 cancers in a population sample with comprehensive adjustment for risk factors and medication.Research design and methods Linked data from the UK Biobank and UK cancer registry for all individuals with baseline HbA1c and no history of cancer at enrollment were used. …”
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Incidence of primary bone sarcomas in Iranian population (2008-2015): A national population-based study by Adel Ebrahimpour, Mehrdad Sadighi, Amin Karimi, Amir Sabaghzadeh, Farsad Biglari, Mohammadreza Chehrassan, Mehdi Azizmohammad Looha, Meisam Jafari Kafiabadi, Mohammad Esmaeil Akbari, Amin Nokhostin-Ansari

“…This study aimed to evaluate the incidence, age, sex distribution, histologic type, and location of malignant bone sarcomas, based on the Iran National Cancer Registry (INCR). Methods: This was a national population-based study using INCR data from March 20, 2008, to March 20, 2015, on patients who were diagnosed with primary bone sarcomas of the appendicular (C-code:40) and axial skeleton (C-code 41), excluding skull and face bones. …”
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Protocol for a pragmatic cluster randomised controlled trial assessing the clinical effectiveness and cost-effectiveness of Electronic RIsk-assessment for CAncer for patients in ge... by Gary A Abel, John L Campbell, Martin Pitt, Sarah Gerard Dean, Luke Mounce, Fiona C Warren, Emily Fletcher, Anne Spencer, Raff Calitri, Antonieta Medina-Lara, Elizabeth Shephard, Marijke Shakespeare, Adrian Mercer

“…The primary outcome is cancer stage at diagnosis, dichotomised to stage 1 or 2 (early) or stage 3 or 4 (advanced) for these six cancers, assessed from National Cancer Registry data. Secondary outcomes include stage at diagnosis for a further six cancers without eRATs, use of urgent referral cancer pathways, total practice cancer diagnoses, routes to cancer diagnosis and 30-day and 1-year cancer survival. …”
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Impact of the COVID-19 pandemic in childhood and adolescent cancer care in northern Tanzania: a cross-sectional study by Yotham Gwanika, Hannah E. Rice, Madeline Metcalf, Pamela Espinoza, Happiness D. Kajoka, Henry E. Rice, Catherine Staton, Blandina T. Mmbaga, Esther Majaliwa, Emily R. Smith, Cesia Cotache-Condor

“…Methods In this cross-sectional study, we assessed the demographic and clinical characteristics of 547 pediatric and adolescent cancer patients (ages 0–19 years old) between 2016 and 2022 using the population-based Kilimanjaro Cancer Registry (KCR). We categorized data into pre-COVID-19 (2016–2019) and COVID-19 (2020–2022) eras, and performed descriptive analyses of diagnostic, treatment, and demographic information. …”
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The DIAbetes MANagement and Treatment (DIAMANT) Cohort by Overbeek JA, Swart KMA, van der Pal EYM, Blom MT, Beulens JWJ, Nijpels G, Elders PJM, Herings RMC

“…The data can be enriched by established linkages to other data sources (eg, hospital data, the Perinatal Registry, the Cancer Registry). The DIAMANT cohort serves as a start of a national infrastructure to study, manage and provide personalised care in order to ultimately improve care and outcomes for people with diabetes.Keywords: diabetes, type 2 diabetes, epidemiology, follow-up, prospective cohort, real-world data…”
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