Population-based age- and type-specific prevalence of human papillomavirus among non-vaccinated women aged 30 years and above in Germany.

BACKGROUND: A persisting high-risk human papillomavirus (HR-HPV) infection is causal for cervical cancer; however, there is limited population-based data on the prevalence of HPV infections in Germany. We assessed the age and type-specific HPV prevalence, and associated risk factors in HPV unvaccinated women aged 30 and above. METHODS: The MARZY prospective population-based cohort study was conducted between 2005 and 2012 in Mainz and Mainz-Bingen, Germany. Eligible women were randomly recruited from population registries and invited for cervical cancer screening (n = 5,275). A study swab (liquid-based cytology) was taken and HPV testing was performed with GP5+/6 + polymerase chain reaction (PCR) followed by genotyping. We assessed HPV types as HR-HPV, 'moderate' risk and low-risk (LR-HPV). Logistic regression was performed to identify factors associated with HPV infection, stratified by HPV types. RESULTS: 2,520 women were screened with a valid PCR result. Overall HPV prevalence was 10.6% (n = 266), with 6.5% HR-HPV positive (n = 165), 1.5% 'moderate' risk type (n = 38) and 3.3% LR-HPV type (n = 84) positive. 8.9% had a single infection (n = 225) and 1.6% had multiple types (n = 41). The most common HR-HPV types were 16, 56, 52 and 31 and LR-HPV 90 and 42. Of 187 HR-HPV infections detected (among 165 women), 55.1% (n = 103) were with HPV types not covered by available bivalent or quadrivalent HPV vaccines. About 23% (n = 43) were of types not covered by the nonavalent vaccine (HPV 35, 39, 51, 56, 59). The HR and LR-HPV prevalence were highest in the age group 30-34 years (HR 9.8%, 'moderate' risk 3.0% and LR 5.6%), decreasing with increasing age. HR-HPV prevalence in women with normal cytology was 5.5%. In women with a high-grade squamous intraepithelial lesion (HSIL), prevalence was 66.7%. Women currently not living with a partner and current smokers had increased chances of an HR-HPV infection. CONCLUSION: The overall population-based HPV prevalence was relatively high. An important share of prevalent HR-HPV infections constituted types not covered by current HPV vaccines. With the advent of HPV screening and younger vaccinated cohorts joining screening, HPV types should be monitored closely, also in older women who were not eligible for HPV vaccination.

Analysis of health claims data on vaccination coverage in older adults in Bavaria, Germany: Influenza, pneumococcus and herpes zoster.

BACKGROUND: Vaccination is essential, especially in older adults whose immune system function declines with age. The COVID-19 pandemic and its associated lockdowns temporarily disrupted routine vaccination services. We aimed to assess vaccination coverage for Influenza, Pneumococcus, and Herpes zoster among older adults in Bavaria over time and investigate potential pandemic effects on these rates. METHODS: Based on health claims data from the Bavarian Association of Statutory Health Insurance Physicians (KVB), we estimated the percentage of adults aged 60 years and older vaccinated following the German Standing Committee on Vaccinations (STIKO) recommendation for Influenza (2012-2021), Pneumococcus (2017-2021) and Herpes zoster (2019-2021), stratified by sex and 10-year age groups. Using time series regression analysis, we estimated the effect of the pandemic period (2020-2021) on quarterly Influenza and Pneumococcal vaccination rates. RESULTS: In the first year of the pandemic (2020), Influenza, Pneumococcus and Herpes zoster coverage in both sexes increased by 9.9, 8.7, and 2.5 percentage points (pp), respectively. In 2021, Influenza coverage decreased by 4.7 pp., while Pneumococcus and Herpes zoster coverage increased by 2.7 and 3.8 pp., respectively. Influenza and Pneumococcal vaccinations showed a seasonal pattern, with vaccinations occurring mainly in the fourth quarter; this pattern was distorted for Pneumococcus during the pandemic. Per the time series regression analysis, Influenza vaccination rates in the fourth quarters of 2020 and 2021 were 7.86 (95 %CI: 5.10-10.62) and 8.87 (95 %CI: 5.80-11.54) pp. higher for males and females, respectively, compared to that of the pre-pandemic period. During the pandemic, the quarterly Pneumococcal vaccination rates increased by 0.68 (95 %CI: 0.19-1.18) pp. in males and 0.80 (95 %CI: 0.30-1.30) pp. in females. CONCLUSION: The heightened increase in vaccination rates observed in 2020 may have resulted from increased vaccination awareness during the pandemic. As the pandemic effect wanes, more efforts are needed to sustain and increase these vaccination rates.

Random forests for the analysis of matched case-control studies.

BACKGROUND: Conditional logistic regression trees have been proposed as a flexible alternative to the standard method of conditional logistic regression for the analysis of matched case-control studies. While they allow to avoid the strict assumption of linearity and automatically incorporate interactions, conditional logistic regression trees may suffer from a relatively high variability. Further machine learning methods for the analysis of matched case-control studies are missing because conventional machine learning methods cannot handle the matched structure of the data. RESULTS: A random forest method for the analysis of matched case-control studies based on conditional logistic regression trees is proposed, which overcomes the issue of high variability. It provides an accurate estimation of exposure effects while being more flexible in the functional form of covariate effects. The efficacy of the method is illustrated in a simulation study and within an application to real-world data from a matched case-control study on the effect of regular participation in cervical cancer screening on the development of cervical cancer. CONCLUSIONS: The proposed random forest method is a promising add-on to the toolbox for the analysis of matched case-control studies and addresses the need for machine-learning methods in this field. It provides a more flexible approach compared to the standard method of conditional logistic regression, but also compared to conditional logistic regression trees. It allows for non-linearity and the automatic inclusion of interaction effects and is suitable both for exploratory and explanatory analyses.

An age-period-cohort analysis of hysterectomy incidence trends in Germany from 2005 to 2019.

Recent studies show declining trends in hysterectomy rates in several countries. The objective of this study was to analyse hysterectomy time trends in Germany over a fifteen-year period using an age-period-cohort approach. Using an ecological study design, inpatient data from Diagnoses Related Group on hysterectomies by subtype performed in Germany from 2005 to 2019 were retrieved from the German Statistical Office. Descriptive time trends and age-period-cohort analyses were then performed. A total of 1,974,836 hysterectomies were performed over the study period. The absolute number of hysterectomies reduced progressively from 155,680 (365 procedures/100,000 women) in 2005 to 101,046 (257 procedures/100,000 women) in 2019. Total and radical hysterectomy decreased by 49.7% and 44.2%, respectively, whilst subtotal hysterectomy increased five-fold. The age-period-cohort analysis revealed highest hysterectomy rates in women aged 45-49 for total and subtotal hysterectomy with 608.63 procedures/100,000 women (95% CI 565.70, 654.82) and 151.30 procedures/100,000 women (95% CI 138.38, 165.44) respectively. Radical hysterectomy peaked later at 65-69 years with a rate of 40.63 procedures/100,000 women (95% CI 38.84, 42.52). The risk of undergoing total or radical hysterectomy decreased over the study period but increased for subtotal hysterectomy. Although, overall hysterectomy rates have declined, subtotal hysterectomy rates have increased; reflecting changes in clinical practice largely influenced by the availability of uterus-sparing options, evolving guidelines and introduction of newer surgical approaches.

Histology-specific standardized incidence ratio improves the estimation of second primary lung cancer risk.

BACKGROUND: Lung cancer (LC) survivors are at increased risk for developing a second primary cancer (SPC) compared to the general population. While this risk is particularly high for smoking-related SPCs, the published standardized incidence ratio (SIR) for lung cancer after lung cancer is unexpectedly low in countries that follow international multiple primary (IARC/IACR MP) rules when compared to the USA, where distinct rules are employed. IARC/IACR rules rely on histology-dependent documentation of SPC with the same location as the first cancer and only classify an SPC when tumors present different histology. Thus, SIR might be underestimated in cancer registries using these rules. This study aims to assess whether using histology-specific reference rates for calculating SIR improves risk estimates for second primary lung cancer (SPLC) in LC survivors. METHODS: We (i) use the distribution of histologic subtypes of LC in population-based cancer registry data of 11 regional cancer registries from Germany to present evidence that the conventional SIR metric underestimates the actual risk for SPLC in LC survivors in registries that use IARC/IACR MP rules, (ii) present updated risk estimates for SPLC in Germany using a novel method to calculate histological subtype-specific SIRs, and (iii) validate this new method using US SEER (Surveillance, Epidemiology, and End Results Program) data, where different MP rules are applied. RESULTS: The adjusted relative risk for lung cancer survivors in Germany to develop an SPLC was 2.98 (95% CI 2.53-3.49) for females and 1.15 (95% CI 1.03-1.27) for males using the novel histology-specific SIR. When using IARC/IACR MP rules, the conventional SIR underestimates the actual risk for SPLC in LC survivors by approximately 30% for both sexes. CONCLUSIONS: Our proposed histology-specific method makes the SIR metric more robust against MP rules and, thus, more suitable for cross-country comparisons.

Clusters of longitudinal risk profile trajectories are associated with cardiometabolic diseases: Results from the population-based KORA cohort.

BACKGROUND: Multiple risk factors contribute jointly to the development and progression of cardiometabolic diseases. Therefore, joint longitudinal trajectories of multiple risk factors might represent different degrees of cardiometabolic risk. METHODS: We analyzed population-based data comprising three examinations (Exam 1: 1999-2001, Exam 2: 2006-2008, Exam 3: 2013-2014) of 976 male and 1004 female participants of the KORA cohort (Southern Germany). Participants were followed up for cardiometabolic diseases, including cardiovascular mortality, myocardial infarction and stroke, or a diagnosis of type 2 diabetes, until 2016. Longitudinal multivariate k-means clustering identified sex-specific trajectory clusters based on nine cardiometabolic risk factors (age, systolic and diastolic blood pressure, body-mass-index, waist circumference, Hemoglobin-A1c, total cholesterol, high- and low-density lipoprotein cholesterol). Associations between clusters and cardiometabolic events were assessed by logistic regression models. RESULTS: We identified three trajectory clusters for men and women, respectively. Trajectory clusters reflected a distinct distribution of cardiometabolic risk burden and were associated with prevalent cardiometabolic disease at Exam 3 (men: odds ratio (OR)ClusterII = 2.0, 95% confidence interval: (0.9-4.5); ORClusterIII = 10.5 (4.8-22.9); women: ORClusterII = 1.7 (0.6-4.7); ORClusterIII = 5.8 (2.6-12.9)). Trajectory clusters were furthermore associated with incident cardiometabolic cases after Exam 3 (men: ORClusterII = 3.5 (1.1-15.6); ORClusterIII = 7.5 (2.4-32.7); women: ORClusterII = 5.0 (1.1-34.1); ORClusterIII = 8.0 (2.2-51.7)). Associations remained significant after adjusting for a single time point cardiovascular risk score (Framingham). CONCLUSIONS: On a population-based level, distinct longitudinal risk profiles over a 14-year time period are differentially associated with cardiometabolic events. Our results suggest that longitudinal data may provide additional information beyond single time-point measures. Their inclusion in cardiometabolic risk assessment might improve early identification of individuals at risk.

Incidence trend of type 2 diabetes from 2012 to 2021 in Germany: an analysis of health claims data of 11 million statutorily insured people.

AIMS/HYPOTHESIS: The aim of the study is to describe the time trend of type 2 diabetes incidence in the largest state of Germany, Bavaria, from 2012 to 2021, and to compare the incidence rates during the pandemic period (2020-2021) to the pre-pandemic period (2012-2019). METHODS: This secondary data analysis uses health claims data provided by the Bavarian Association of Statutory Health Insurance Physicians (KVB), covering approximately 11 million insurees, accounting for 85% of the total population of Bavaria, Germany. Newly diagnosed type 2 diabetes cases in adults (≥20 years) coded as E11 (Diabetes mellitus, Type 2) or E14 (Unspecified diabetes mellitus) under ICD-10, German modification (ICD-10-GM) for the study period 2012 to 2021 were included. Annual and quarterly age-standardised incidence rates (ASIR) stratified by sex, age and region were calculated using the European standard population. Sex-specific crude incidence rates (CIR) were calculated using 10-year age groups. Regression analyses adjusted for time trends, seasonal effects, and pandemic effects were used to analyse the incidence trend and to assess the effect of the pandemic. RESULTS: Overall, 745,861 new cases of type 2 diabetes were diagnosed between 2012 and 2021: 50.4% (376,193 cases) in women. The male/female ratio remained stable over the observation period, while the median age at diagnosis decreased from 61 to 58 years in men and from 66 years to 61 years in women. ASIR were consistently higher for men compared with women, with the yearly difference remaining stable over time (2012: 18%; 2021: 20%). An overall decreasing trend in ASIR was observed during the study period, with a strong decrease from 2012 to 2017, followed by a less pronounced decline from 2018 to 2021 for both sexes. For men, ASIR decreased from 1514 per 100,000 person-years in 2012 to 995 per 100,000 person-years in 2021 (4.6% average annual reduction), and for women from 1238 per 100,000 person-years in 2012 to 796 per 100,000 person-years in 2021 (4.8% average annual reduction). This downward trend was also observed for age groups above 50 years. Regression analyses showed no significant change in incidence rates during the pandemic period (2020 and 2021) compared with the pre-pandemic period. CONCLUSIONS/INTERPRETATION: For the first time, a 10-year incidence trend of type 2 diabetes is reported for Germany, showing a strong decline from 2012 to 2017, followed by a less pronounced decline from 2018 to 2021. The incidence trend of type 2 diabetes appears not to have been affected by the first 2 years of the COVID-19 pandemic. Despite an overall increasing prevalence, the incidence is decreasing, potentially resulting from robust screening by family physicians, reducing the median age at diagnosis by 3 to 5 years. However, further investigation is needed to fully identify the reasons for the declining incidence trend. Continued incidence monitoring is necessary to identify the long-term trend and the potential effect of the pandemic on diagnoses of type 2 diabetes.

Behavioral weight loss interventions for people with physical disabilities: A systematic review.

AIM: The aim of this study is to examine which interventions lead to clinically significant weight loss among people with physical disabilities. METHODS: We systematically searched three electronic databases (PubMed, Scopus, and CENTRAL) including studies until May 2022 to find randomized controlled trials on behavioral interventions and weight-related outcomes in people with physical disabilities. Pharmacological or surgical interventions were excluded. Study quality was evaluated using the Cochrane Risk of Bias Tool. Interventions were grouped as dietary, physical activity, education/coaching, or multi-component. Mean weight changes, standard deviations, confidence intervals, and effect sizes were extracted or calculated for assessment of the intervention effect. RESULTS: Sixty studies involving 6,511 participants were included in the qualitative synthesis. Most studies (n = 32) included multi-component interventions, incorporating dietary and physical activity components. Limited evidence suggests that extensive dietary interventions or long-term multi-component interventions might lead to a clinically relevant weight reduction of at least 5% for older individuals (age > 50) with mild-to-moderate mobility impairments. DISCUSSION: Due to the high heterogeneity of studies and low study quality, it can be assumed that the range of applicability of the findings is questionable. Further research should examine younger age groups (i.e., children, adolescents, and adults under 40 years) and compare different settings such as schools, clinics, nursing homes, and assisted living facilities.

An audit of 1632 routinely collected cervical cancer screening smears from 398 women in Germany: Results from the TeQaZ Study.

OBJECTIVE: There is evidence in Germany that half of the cervical cancer (CC) cases had undergone screening frequently in the decade preceding their diagnosis, signaling cytology quality issues. This study investigates routine smear assessment accuracy in Germany. METHODS: Within a population-based case-control study in 9 German states, we recruited cases (women with a histologically confirmed diagnosis of CC) and population controls (women with no history of CC or hysterectomy). Two independent expert cytologists audited Pap smears taken within the 10 years preceding CC diagnosis (cases)/study entry (controls). We report the prevalence of positive results, as well as routine assessment's accuracy, as sensitivity, specificity, false-positive and false-negative rates along with 95% confidence intervals (95% CI). We also examined cases' smear history, to investigate possible false-positive recurrence. RESULTS: We audited 1632 smears of 392 women (18.9% cases, 81.1% controls). In the routine assessment, the overall prevalence of positive results was 4.5% (29.0% among cases). According to the expert audit, the overall prevalence of positive results was 7.7% (40.8% among cases). When restricting analyses to the 3 years preceding diagnosis/study entry, this prevalence increased to 11.9% overall (61.4% among cases). The overall sensitivity of the routine assessment was 54.9% (66.8% for cases). CONCLUSION: As cytology remains an important part of CC screening, quality issues must be urgently addressed in Germany. Shifting to objective methods such as primary high-risk HPV screening followed by triaging may help CC elimination in Germany.

Modelling the effect of demographic change and healthcare infrastructure on the patient structure in German hospitals - a longitudinal national study based on official hospital statistics.

BACKGROUND: Effects of demographic change, such as declining birth rates and increasing individual life expectancy, require health system adjustments offering age- and needs-based care. In addition, healthcare factors can also influence health services demand. METHODS: The official German hospital statistics database with odd-numbered years between 1995 and 2011 was analysed. This is a national comprehensive database of all general hospital inpatient services delivered. Official data from hospital statistics were linked at the district level with demographic and socio-economic data as well as population figures from the official regional statistics. Panel data regression, modelling case numbers per hospital, was performed for 13 diagnosis groups that characterised the patient structure. Socio-demographic variables included age, sex, household income, and healthcare factors included bed capacity, personnel and hospital characteristics. RESULTS: The median number of annual treatments per hospital increased from 6 015 (5th and 95th percentile [670; 24 812]) in 1995 to 7 817 in 2011 (5th and 95th percentile [301; 33 651]). We developed models characterising the patient structure of health care in Germany, considering both socio-demographic and hospital factors. Demographic factors influenced case numbers across all major diagnosis groups. For example, the age groups 65-74 and 75 + influenced cerebrovascular disease case numbers (p < 0.001). Other important factors included human and material resources of hospitals or the household income of patients. Distinct differences between the models for the individual diagnosis groups were observed. CONCLUSIONS: Hospital planning should not only consider demographic change but also hospital infrastructure and socio-economic factors.

A systematic review of clinical health conditions predicted by machine learning diagnostic and prognostic models trained or validated using real-world primary health care data.

With the advances in technology and data science, machine learning (ML) is being rapidly adopted by the health care sector. However, there is a lack of literature addressing the health conditions targeted by the ML prediction models within primary health care (PHC) to date. To fill this gap in knowledge, we conducted a systematic review following the PRISMA guidelines to identify health conditions targeted by ML in PHC. We searched the Cochrane Library, Web of Science, PubMed, Elsevier, BioRxiv, Association of Computing Machinery (ACM), and IEEE Xplore databases for studies published from January 1990 to January 2022. We included primary studies addressing ML diagnostic or prognostic predictive models that were supplied completely or partially by real-world PHC data. Studies selection, data extraction, and risk of bias assessment using the prediction model study risk of bias assessment tool were performed by two investigators. Health conditions were categorized according to international classification of diseases (ICD-10). Extracted data were analyzed quantitatively. We identified 106 studies investigating 42 health conditions. These studies included 207 ML prediction models supplied by the PHC data of 24.2 million participants from 19 countries. We found that 92.4% of the studies were retrospective and 77.3% of the studies reported diagnostic predictive ML models. A majority (76.4%) of all the studies were for models' development without conducting external validation. Risk of bias assessment revealed that 90.8% of the studies were of high or unclear risk of bias. The most frequently reported health conditions were diabetes mellitus (19.8%) and Alzheimer's disease (11.3%). Our study provides a summary on the presently available ML prediction models within PHC. We draw the attention of digital health policy makers, ML models developer, and health care professionals for more future interdisciplinary research collaboration in this regard.

The Association of Women's Empowerment with HIV-Related Indicators: A Pooled Analysis of Demographic and Health Surveys in Sub-Saharan Africa.

BACKGROUND: Women's empowerment is an important factor for HIV prevention, but the association with HIV-related indicators has never been quantified. In this study, we examined the association between women's empowerment and selected HIV-related indicators. METHODS: We used the latest Demographic and Health Surveys that included HIV testing among other biomarkers of 31 countries in sub-Saharan Africa. Empowerment was measured by the Survey-based Women's EmPowERment (SWPER) index and was compared to the HIV-related indicators: HIV status, HIV testing (ever and in the past 12 months), condom use at last high-risk sex, the ability to ask the partner to use a condom, and the ability to refuse sex. RESULTS: 208,947 women were included in the analysis, of whom 100,924 (48%) were considered highly empowered and 21,933 (10%) as lowly empowered. There was no association between empowerment and HIV status (OR = 1.12, 95% confidence interval [CI] 0.98-1.28). Highly empowered women were more likely to have ever been tested for HIV (OR = 1.67, 95% CI 1.60-1.74) but less likely to have been tested for HIV in the past 12 months (OR = 0.92, 95%CI 0.88-0.96). Highly empowered women were more commonly able to ask the partner to use a condom (OR = 1.69, 95% CI 1.63-1.75) and to refuse sex (OR = 1.78, 95%CI 1.72-1.85). CONCLUSIONS: Women's empowerment does not seem to be linked to HIV status, but it is strongly associated with a woman's ability to make decisions about their sexual behavior. Empowering women and young girls has the potential to contribute toward achieving the United Nations' goal of ending AIDS by 2030.

Prevalence and risk of psychological distress, anxiety and depression in adolescent and young adult (AYA) cancer survivors: A systematic review and meta-analysis.

BACKGROUND: Adolescent and young adult (AYA) cancer survivors (CS) face unique psychosocial challenges, which may affect their mental health. However, there are inconsistencies in AYA definitions and varying prevalence data on psychological distress, anxiety, and depression. We aimed to synthesize published literature on prevalence, risk, longitudinal changes, and predictors for these outcomes and estimate pooled prevalences. METHODS: We searched for observational studies published in English before June 1 2022, in PubMed, PsycINFO, Scopus, and Web of Science. Two researchers extracted independently information on study characteristics, prevalence, and risk. The pooled prevalence (PP) of psychological distress, anxiety, and depression was estimated using random-effects models. Geographical region, treatment status, and assessment instruments were considered in stratified meta-analyses. RESULTS: Sixty-eight studies were included in the systematic review and 57 in the meta-analyses. We estimated an overall prevalence of 32% (n = 30; 4226/15,213 AYAs; 95% CI, 23%-42%; I2 = 99%) for psychological distress, 29% for anxiety (n = 24; 2828/8751 AYAs; 95% CI, 23%-36%; I2 = 98%), and 24% (n = 35; 3428/16,638 AYAs; 95% CI, 18%-31%; I2 = 98%) for depression. The range of PP of psychological distress varied across geographical regions, treatment status, and assessment instruments. The PP of anxiety varied significantly across continents, while no variations were seen for depression. Studies found higher risks for psychological distress, anxiety, and depression in AYAs compared to older cancer survivors or cancer-free peers. CONCLUSIONS: Our research found that one in three AYA-CS experience psychological distress or anxiety and one in four are affected by depression, highlighting the need for specialized psychological services for AYA-CS in oncology settings and AYA-focused interventions.

Determinants of stunting among children under age five in Burundi: Evidence from the 2016-2017 Burundi Demographic and Health Survey (BDHS 2016-17).

Burundi has one of the highest prevalence of stunting in the world. This study aimed to identify determinants of stunting among children under age five in Burundi. A total of 4993 children with anthropometric measurements from the 2016-2017 Burundi Demographic and Health Survey were included in the study. Stunting was assessed from the height-for-age Z-scores (HAZ). Logistic regression models were analyzed to identify demographic, maternal, child-related, and structural variables that influence stunting. In total, 56.9% of children under age five were stunted, of those 31.0% moderately and 25.9% severely. Multivariable logistic regression indicated that older children, male children (adjusted OR (aOR) = 1.41, 95% CI 1.24-1.61), and children who were perceived as small (aOR = 2.00, 95% CI 1.55-2.59) or very small at birth (aOR = 2.37, 95% CI 1.57-3.59) were significantly more likely to be stunted. Moreover, children of single mothers, with lower levels of education, who were underweight at the time of the survey (aOR = 1.95, 95% CI 1.42-2.68), who had short stature (aOR = 3.76, 95% CI 2.50-5.66) or who conceived more than four children (aOR = 1.22, 95% CI 1.05-1.42) were more commonly stunted. Stunting was more prevalent in rural areas (aOR = 2.53, 95% CI 1.72-3.73) and in households with no access to improved types of toilet facilities (aOR = 1.27, 95% CI 1.10-1.45). The results of this study show that the prevalence of stunting in children under age five in Burundi is alarmingly high and underscores the urgent need for decisive and determined action.

Epidemiology of cervical cancer in elderly women: Analysis of incidence, treatment, and survival using German registry data.

BACKGROUND: Cervical cancer (CC) screening is generally recommended until age 65. The incidence of CC could be underestimated, particularly in older women, due to a lack of hysterectomy correction. Furthermore, elderly women (≥65 years) are more often diagnosed with late-stage disease and have worse outcomes than younger patients. This study aims to provide an in-depth overview of CC in Germany. METHODS: Incidence rates of CC (ICD-10 C53) were determined using data from the German Centre of Cancer Registry data (ZfKD) of six federal state registries. Incidence was corrected by using hysterectomy prevalence values from a real-world study. The distribution of treatment modalities (surgery, chemotherapy, radiation therapy) was assessed. Relative survival was calculated using the period approach (2011-2015). Survival was stratified by tumor (T) stage and histological type. RESULTS: In total, 14,528 CC cases were included, 27.6% of which occurred in elderly women. Cumulative (2001-2015) age-standardized incidence rates were 12.5 per 100,000 women without hysterectomy correction and 15.5 per 100,000 women after hysterectomy correction (+24% relative change). A lower proportion of elderly women were treated, especially in advanced tumor stages. Younger women (20-64 years) had a higher 5-year relative survival compared to elderly women: 76.7% versus 46.9%, respectively. Survival was worse with increasing stage and for glandular histological subgroups, particularly among elderly women. CONCLUSIONS: CC incidence in elderly women is underestimated and survival is lower compared to younger women in Germany. Due to the high disease burden in elderly women, screening and treatment strategies need to be improved.

Second primary cancer among 217702 colorectal cancer survivors: An analysis of national German cancer registry data.

With improvements in survival after colorectal cancer (CRC), more survivors are at risk of developing a second cancer, particularly in younger populations where CRC incidence is increasing. We estimated the incidence of second primary cancer (SPC) in CRC survivors and its potential risk factors. We identified CRC cases diagnosed between 1990 and 2011 and SPCs until 2013 from nine German cancer registries. Standardized incidence ratios (SIR) and absolute excess risk (AER) per 10 000 person-years were calculated and were stratified by index site: colon cancer (CC) and rectal cancer (RC), age and sex. Cox regression assessed potential SPC risk factors, including primary tumor-related therapy considering death as a competing risk. We included 217 202 primary CRC cases. SPC occurred in 18 751 CRC survivors (8.6%; median age: 69 years). Risk of cancer was significantly higher in CRC survivors than in the general population (SIR males 1.14, 95% confidence interval [CI] 1.12-1.17, AER = 24.7; SIR females 1.20, 95% CI 1.17-1.23, AER = 22.8). Increased risks of SPCs were observed for the digestive system, urinary system and female and male reproductive organs. CRC incidence increased in younger persons (<50 years) and SPC incidence was 4-fold in this group (SIR males 4.51, 95% CI 4.04-5.01, AER = 64.2; SIR females 4.03, 95% CI 3.62-4.48, AER = 77.0). Primary tumor-related factors associated with SPC risk were right-sided cancer and smaller primary tumor size. Treatment and risk of SPC differed for CC (no effect) and RC (lower risk after chemotherapy). CRC survivors have excess risk of developing SPC, with particular characteristics that could guide targeted surveillance.

Health risks of titanium dioxide (TiO2) dust exposure in occupational settings - A scoping review.

Titanium dioxide (TiO2) is an inorganic compound with many applications, for example in paint, sunscreen or as food coloring. There have been concerns regarding its safety and according to IARC, the existing evidence is not substantial enough to rule them out, leading to the substance being classified as possibly carcinogenic to humans (2B). This work aims to provide a comprehensible overview about epidemiological studies on occupational health risks and methodological aspects. A literature search was conducted in two databases (MEDLINE and Web of Science). The search focused on occupational exposure since this setting provides the highest amounts of TiO2 exposure. Of 443 unique search results, ten were included in this study, with publication dates ranging from 1988 to 2022. Seven of them are retrospective cohort studies and three have a case-control study design. Main outcomes of most studies were all-cause mortality and lung cancer mortality. For all-cause mortality, most cohort studies reported no association with TiO2 exposure. For lung cancer mortality, a significantly increased risk was found in a study population from Europe. The analysis results of working cohorts from the US comparing exposed workers' mortality rates with those of the general population were unobtrusive. However, one US cohort found an elevated mortality risk for all causes and lung cancer based on a reference population of company workers unexposed to TiO2. Case-control studies did not indicate an increased risk for cancer related to TiO2. Recent publications partly questioned the validity of those earlier findings, claiming insufficient confounder analysis, most notably for smoking, as well as the presence of the healthy worker effect, masking a potential health risk. In conclusion, the associations between occupational TiO2 exposure and mortality are unclear, but concerns regarding possible health risks recently re-emerged based on new analytical approaches, highlighting methodological difficulties that could have limited the inferential value of previously conducted studies.

Opportunities to inform German residents about the possibility of skin cancer screening and to inform stakeholders to take appropriate actions: A qualitative approach.

BACKGROUND: The national skin cancer screening (SCS) was introduced in Germany in 2008. However, public awareness and participation rates remain low. There are no campaigns or target group-specific invitation strategies for SCS yet. Thus, our aim was to derive potential suggestions on how to best inform German residents about the possibility of SCS. METHODS: Semi-structured, individual interviews with male and female German residents aged ≥35 years were conducted in Erlangen (Germany) to explore opportunities on raising awareness of SCS. Interviews were audiotaped, transcribed verbatim, and analyzed using qualitative content analysis. RESULTS: Overall, 39 persons were interviewed. About 79.5% (31/39) had already undergone at least one SCS. Numerous opportunities to raise awareness of the possibility of SCS were suggested which were categorized into three main topics: the role of public promotion, health-related caregivers, and health insurance. Similar themes were identified for inviting entitled persons to undergo SCS after 2 years. Furthermore, age-dependent communication approaches were proposed, that is, younger persons should be approached electronically, while the older generation should be targeted with traditional media like mail. CONCLUSIONS: The results of this project will inform stakeholders to take appropriate actions. The findings may contribute to increase participation rates in SCS and thus lead to earlier detection of skin cancer.

Impact of the COVID-19 pandemic on reported cancer diagnoses in Bavaria, Germany.

PURPOSE: The aim of our study was to explore the impact of the COVID-19 pandemic on reported cancer cases in Bavaria, Germany, by comparing pre-pandemic (March 2019 to February 2020) and pandemic period (March 2020 to February 2021). METHODS: Data on incident cases were retrieved from the Bavarian Cancer Registry (until 22nd April 2022). We included patients with malignant and in situ neoplasms reported by pathology departments with consistent reporting. We calculated the number of incident cases during the COVID-19 pandemic and the pre-pandemic period with 95% confidence intervals (CI) with Bonferroni correction (α = 0.0018) based on a Poisson approach. We stratified for malignancy (malignant, in situ), tumor site, and month of year. RESULTS: Data was available for 30 out of 58 pathology departments (51.7%) from Bavaria. Incident malignant neoplasms dropped from 42,857 cases in the pre-pandemic period to 39,980 cases in the pandemic period (- 6.7%; 95% CI - 8.7%, - 4.7%). Reductions were higher for colon, rectum, skin/melanoma as well as liver (> 10.0% reduction) and less for breast cancer (4.9% reduction). No case reductions were observed for pancreas, esophagus, ovary, and cervix. Percent changes were largest for April 2020 (- 20.9%; 95% CI - 24.7%, - 16.8%) and January 2021 (- 25.2%; 95% CI - 28.8%, - 21.5%) compared to the previous year. Declines tended to be larger for in situ compared to malignant neoplasms. CONCLUSION: Detection and diagnosis of cancer were substantially reduced during the COVID-19 pandemic. Potential effects, e.g. a stage shift of tumors or an increase of cancer mortality, need to be monitored.