The role of marital status in gallbladder cancer: a real-world competing risk analysis.

BACKGROUND: The association between marital status and gallbladder cancer (GBC) remains uncertain. This study aimed to verify the relationship between marital status and GBC and construct a prognostic nomogram to predict the impact of marital status on GBC patients. METHOD: GBC patients were divided into married and unmarried groups using data from the Surveillance, Epidemiology, and End Results (SEER) database. We employed competing risk analyses, propensity score matching (PSM), and Kaplan-Meier survival analyses. The relationship between marital status and GBC was then verified, and the predicted nomogram was constructed. RESULTS: A total of 3913 GBC patients were obtained from the SEER database, and an additional 76 GBC patients from Hangzhou Traditional Chinese Medicine Hospital were selected as the external validation group. The competing risk analysis revealed a significant disparity in the 5-year cumulative incidence of cancer-specific death (CSD) between the two cohorts (59.1% vs. 65.2%, p = 0.003). Furthermore, the multivariate competing hazards regression analysis identified a significant association (HR, 1.17; 95% CI, 1.04-1.31; p = 0.007) between marital status and CSD. To assess the 1-, 3-, and 5-year risks of CSD, a comprehensive competing event nomogram was constructed using factors derived from the multivariate analysis. The area under the receiver operating characteristic curve (AUC) values for the 1-, 3-, and 5-year training cohorts were 0.806, 0.785, and 0.776, respectively. In the internal validation cohort, these values were 0.798, 0.790, and 0.790, while the external validation cohort exhibited AUC values of 0.748, 0.835, and 0.883 for the corresponding time intervals. Furthermore, calibration curves demonstrated a commendable level of concordance between the observed and predicted probabilities of CSD. CONCLUSION: Marriage was a protective factor for GBC patients after taking competing risk into consideration. The proposed nomogram demonstrated exceptional predictive power.

Salmonella in Wild Boar Meat: Prevalence and Risk Assessment in Central Italy (Umbria and Marche Region).

A survey was conducted from 2018 to 2023 to assess the presence of Salmonella in 280 hunted wild boar (carcasses after evisceration and skinning, N = 226; liver, N = 258; and fecal samples, N = 174). The overall prevalence was 2.86% (confidence interval 95%, 1.45-5.45%) with five positive samples detected in carcasses, three in the liver, and one in a fecal sample. This prevalence was in line with those found in nearby areas denoting a low number of positive samples. Positive animals were over 24 months of age and weighed, before skinning, 59.00 ± 9.11 Kg and no difference was detected in microbial loads between samples positive and negative for Salmonella (aerobic colony count of 4.59 and 4.66 log CFU/400 cm2, and Enterobacteriaceae count of 2.89 and 2.73 log CFU/400 cm2 (mean values) in positive and negative subjects, respectively). Salmonella Stanleyville was the most frequently isolated serotype. A semiquantitative risk assessment was conducted for the first time in game meat considering two products, meat cuts intended for cooking and fermented dry sausages. Only proper cooking can reduce the risk of ingestion of Salmonella to the minimum for consumers, whereas ready-to-eat dry sausages constitute risk products in terms of foodborne Salmonellosis (risk score of 64 out of 100).

Developing a Nomogram for Prioritizing Hysteroscopy in Endometrial Cancer Diagnosis: A Case-Control Study.

(1) Background: The pandemic led to significant healthcare disruptions, resulting in postponed surgeries and extended waiting times for non-urgent treatments, including hysteroscopies essential for diagnosing endometrial cancer. This study aims to formulate a risk stratification model to enhance the prioritization of hysteroscopy procedures in Brazil; (2) Methods: A case-control study was conducted at Vila Santa Catarina Hospital in São Paulo, analyzing the medical records of 2103 women who underwent hysteroscopy between March 2019 and March 2022. We used bivariate analysis and multivariate linear regression to identify risk factors associated with endometrial cancer and formulate a nomogram; (3) Results: The findings revealed a 5.5% incidence of pre-invasive and invasive endometrial disease in the study population, with an average waiting time of 120 days for hysteroscopy procedures. The main risk factors identified were hypertension, diabetes, postmenopausal bleeding, and obesity; (4) Conclusions: This research highlights the urgent need for efficient prioritization of hysteroscopy procedures in the wake of the pandemic. The developed nomogram is an innovative tool for identifying patients at higher risk of endometrial cancer, thus facilitating timely diagnosis and treatment and improving overall patient outcomes in a strained healthcare system.

Investigation of non-fatal occupational accidents and their causes in Turkish shipyards.

This study reports new data for 1028 non-fatal occupational accidents dated between January 2010 and April 2015 by applying the analytical hierarchy process (AHP) technique. A comprehensive survey was conducted at four shipyards in Tuzla, Istanbul and Yalova regions in Turkey and a workplace questionnaire appropriate for the AHP technique was carried out. The obtained results indicated that inadequate safety equipment and protective clothing, unsuitable usage of machines and tools, and disobeying occupational health and safety (OHS) procedures were the most common risk factors for the accidents. Hence the preventive measures could be identified by analyzing non-fatal accident data. After the identification of the descriptive measures, the priority order of these measures was asked of the occupational safety professionals in the shipbuilding industry, and we used the AHP method to evaluate the results.

De-escalating chemotherapy for stage I-II gastric neuroendocrine carcinoma? A real-world competing risk analysis.

BACKGROUND: The role of adjuvant chemotherapy in gastric neuroendocrine neoplasms (GNEC) has not been well clarified yet. The study was designed to investigate the potential effect of adjuvant chemotherapy in stage I-II GNEC patients and construct a predictive nomogram. METHOD: Stage I-II GNEC patients were included in the Surveillance, Epidemiology, and End Results (SEER) database and divided into chemotherapy and no-chemotherapy groups. We used Kaplan-Meier survival analyses, propensity score matching (PSM), and competing risk analyses. The predictive nomogram was then built and validated. RESULTS: Four hundred four patients with stage I-II GNEC were enrolled from the SEER database while 28 patients from Hangzhou TCM Hospital were identified as the external validation cohort. After PSM, similar 5-year cancer-specific survival was observed in two groups. The outcomes of competing risk analysis indicated a similar 5-year cumulative incidence of cancer-specific death (CSD) between the two cohorts (35.4% vs. 31.4%, p = 0.731). And there was no significant relation between chemotherapy and CSD in the multivariate competing risks regression analysis (HR, 0.79; 95% CI, 0.48-1.31; p = 0.36). Furthermore, based on the variables from the multivariate analysis, a competing event nomogram was created to assess the 1-, 3-, and 5-year risks of CSD. The 1-, 3-, and 5-year area under the receiver operating characteristic curve (AUC) values were 0.770, 0.759, and 0.671 in the training cohort, 0.809, 0.782, and 0.735 in the internal validation cohort, 0.786, 0.856, and 0.770 in the external validation cohort. Furthermore, calibration curves revealed that the expected and actual probabilities of CSD were relatively consistent. CONCLUSION: Stage I-II GNEC patients could not benefit from adjuvant chemotherapy after surgery. De-escalation of chemotherapy should be considered for stage I-II GNEC patients. The proposed nomogram exhibited excellent prediction ability.

Association Between Specific Type 2 Diabetes Therapies and Risk of Alzheimer's Disease and Related Dementias in Propensity-Score Matched Type 2 Diabetic Patients.

Objective: We sought to determine the impact of Type 2 Diabetes Mellitus (T2D) anti-hyperglycemic medications (A-HgM) on risk of Alzheimer's disease (AD) and related dementias (ADRD) outcomes including vascular dementia, and non-AD dementia such as frontotemporal, Lewy body, and mixed etiology dementias. Research Design and Methods: This retrospective cohort study used the US-based Mariner claims dataset. 1,815,032 T2D participants 45 years and older with records 6 months prior and at least 3 years after the diagnosis of T2D were included. Claims were surveyed for a diagnosis of AD and ADRD 12 months post T2D diagnosis. A propensity score approach was used to minimize selection bias. Analyses were conducted between January 1st and February 28th, 2021. Results: In this cohort study A-HgM exposure was associated with decreased diagnosis of AD (RR, 0.61; 95% CI, 0.59-0.62; p < 0.001), vascular dementia (RR, 0.72; 95% CI, 0.69-0.74; p < 0.001) and non-AD dementia (RR, 0.67; 95% CI, 0.66-0.68; p < 0.001). Metformin was associated with the greatest risk reduction and insulin with the least reduction in risk compared to patients not receiving A-HgM for ADRD risk. Of interest, patients with a diagnosis of AD, while either on metformin or insulin, were older in age and predominately female, than individuals on these drugs that did not develop AD. Mean (SD) follow-up was 6.2 (1.8) years. Conclusion: After controlling for age, sex, and comorbidities, A-HgM in patients with T2D was associated with a reduced risk of AD and ADRD. These findings provide evidence in support of T2D as a risk factor for AD and ADRD and the beneficial impact of early and effective control of hyperglycemia to mitigate risk.

Predicting Cancer-Specific Survival Among Patients With Prostate Cancer After Radical Prostatectomy Based on the Competing Risk Model: Population-Based Study.

Introduction: We aimed to develop an easy-to-use individual survival prognostication tool based on competing risk analyses to predict the risk of 5-year cancer-specific death after radical prostatectomy for patients with prostate cancer (PCa). Methods: We obtained the data from the Surveillance, Epidemiology, and End Results (SEER) database (2004-2016). The main variables obtained included age at diagnosis, marital status, race, pathological extension, regional lymphonode status, prostate specific antigen level, pathological Gleason Score. In order to reveal the independent prognostic factors. The cumulative incidence function was used as the univariable competing risk analyses and The Fine and Gray's proportional subdistribution hazard approach was used as the multivariable competing risk analyses. With these factors, a nomogram and risk stratification based on the nomogram was established. Concordance index (C-index) and calibration curves were used for validation. Results: A total of 95,812 patients were included and divided into training cohort (n = 67,072) and validation cohort (n = 28,740). Seven independent prognostic factors including age, race, marital status, pathological extension, regional lymphonode status, PSA level, and pathological GS were used to construct the nomogram. In the training cohort, the C-index was 0.828 (%95CI, 0.812-0.844), and the C-index was 0.838 (%95CI, 0.813-0.863) in the validation cohort. The results of the cumulative incidence function showed that the discrimination of risk stratification based on nomogram is better than that of the risk stratification system based on D'Amico risk stratification. Conclusions: We successfully developed the first competing risk nomogram to predict the risk of cancer-specific death after surgery for patients with PCa. It has the potential to help clinicians improve post-operative management of patients.

A population-based competing risk survival analysis of patients with salivary duct carcinoma.

BACKGROUND: Salivary duct carcinoma (SDC) is a rare malignancy with high risk of local recurrence and distant metastases of the salivary gland. This study was designed to summarize the clinical and pathological features and to further evaluate them as potential prognostic factors for SDC in the salivary gland. METHODS: Clinical data of 266 patients diagnosed with SDC between 2004 and 2015 were collected from the Surveillance, Epidemiology, and End Results (SEER) database. The prognostic factors affecting overall survival (OS) and cancer-specific survival (CSS) were determined by Kaplan-Meier analyses and Cox proportional hazards model. The nomogram was established to predict OS and CSS for SDC. The predictive accuracy of the nomograms was measured by concordance index (C-index). RESULTS: The 3- and 5-year OS of SDC patients were 67.41% and 47.86%, while the 3- and 5-year CSS were 84.6% and 60.7%, respectively. The primary site, T stage and M stage were identified as independent prognostic factors for OS by the multivariate analysis, whereas N stage, M stage, the presence of multiple primary carcinomas and the treatment modalities were identified as independent prognostic factors for CSS. The C-index values of the prognostic nomogram based the risk factors affecting SDC OS and CSS were 0.703 (0.646-0.760) and 0.771 (0.691-0.851), respectively. CONCLUSIONS: SDC is an aggressive malignancy with a high proportion of advanced stage and lymph node metastases. Patients with increasing age, submandibular gland malignancy, advanced T stage, advanced N stage, advanced M stage, high lymph node ratio (LNR) and the presence of multiple primary carcinomas tend to have unfavorable outcomes. Radiotherapy or chemotherapy improve CSS remarkably. These factors will aid in effective therapeutic treatment modalities for SDC.

The development of implementation management instruments for a new complex stroke caregiver intervention based on systematic stakeholder and risk analyses.

BACKGROUND: Stakeholders are important contributors in the implementation of a complex public health intervention. During the development phase of an implementation, alongside careful design of its components and investing in the exploration of the dynamic multi-stakeholder stroke rehabilitation setting, it is essential to assess possible implementation risks. Systematic stakeholder and risk analyses can guide the exploration process and enable teams involved in complex interventions to develop context-tailored implementation management instruments. PURPOSE: To develop instruments that facilitate the implementation of the complex stroke caregiver intervention project in the real-life support system. METHODS: Systematic stakeholder and risk analyses were conducted composing five activities. Project stakeholders were identified, classified and assessed using a top-down approach, while implementation risks were identified and assessed by applying a bottom-up approach. Data were collected through interviews and focus groups. RESULTS: Based on the knowledge provided by the stakeholders, two context-tailored implementation management instruments were designed with a top-down approach: (1) a comprehensive 'stakeholder-risk atlas' providing individual stakeholder information, such as role, access, contribution, power and interest, expectations, perceived risks and specific engagement activities and (2) an overall 'project implementation strategy' concentrating on communication, transparency, network building and professionalism. CONCLUSION: Complex interventions will benefit from early and comprehensive stakeholder and risk analyses. The early involvement of stakeholders, with their insightful knowledge, enables the research team to develop context-tailored implementation management instruments. Instruments will support the team during implementation and may impact positively on the outcome of the intervention. Knowledge can be obtained by combining top-down and bottom-up working approaches.

Multiplicity of Asymptomatic Plasmodium falciparum Infections and Risk of Clinical Malaria: A Systematic Review and Pooled Analysis of Individual Participant Data.

BACKGROUND: The malaria parasite Plasmodium falciparum holds an extensive genetic polymorphism. In this pooled analysis, we investigate how the multiplicity in asymptomatic P. falciparum infections-that is, the number of coinfecting clones-affects the subsequent risk of clinical malaria in populations living under different levels of transmission. METHODS: A systematic search of the literature was performed to identify studies in which P. falciparum infections were genotyped in asymptomatic individuals who were followed up prospectively regarding the incidence of clinical malaria. Individual participant data were pooled from 15 studies (n = 3736 individuals). RESULTS: Multiclonal asymptomatic infections were associated with a somewhat increased subsequent risk of clinical malaria in the youngest children, followed by an initial declining risk with age irrespective of transmission intensity. At approximately 5 years of age, the risk continued the gradual decline with age in high-transmission settings. However, in older children in moderate-, low-, and seasonal-transmission settings, multiclonal infections were either not significantly associated with the risk of subsequent febrile malaria or were associated with an increased risk. CONCLUSIONS: The number of clones in asymptomatic P. falciparum infections is associated with different risks of subsequent clinical malaria depending on age and transmission intensity.

Histological Assessment of Gonads in DSD: Relevance for Clinical Management.

Malignant gonadal germ cell tumors, referred to as germ cell cancers (GCC), occur with increased frequency in individuals who have specific types of differences (disorders) of sex development (DSD). Recent population-based studies have identified new environmental and genetic risk factors that have led to a 'genvironment' hypothesis, which may potentially be helpful in risk assessment in DSD-related GCC. In DSD, the malignancy risk is highly heterogeneous, but recent studies allow now to discriminate between high- and low-risk conditions. Gonadal biopsy is in some cases the best procedure of choice to assess the risk, and with the availability of immunohistochemical biomarkers [OCT3/4 (POU5F1), TSPY, SOX9, FOXL2 and KITLG (SCF)], a reliable classification of GCC and its precursors can be made. The opportunities in the field of virtual diagnostic pathology will be presented, having possibilities for rare diseases in general and DSD specifically. It is expected that the International DSD Registry will stimulate international collaborations, facilitating better diagnostic procedures as well as research.

[The EFS metrology: From the production to the reason]. / Métrologie à l'EFS : de la production à la raison.

In order to answer statutory requirements and to anticipate the future needs and standards, the EFS is committed, since a few years, in a process of harmonization of its metrology function. In particular, the institution has opted for the skills development by internalizing the metrological traceability of the main critical quantities (temperature, volumetric) measurements. The development of metrology so resulted in a significant increase in calibration and testing activities. Methods are homogenized and improved through accreditations. The investment strategies are based on more and more demanding specifications. The performance of the equipments is better known and mastered. Technical expertise and maturity of the national metrology function today are assets to review in more informed ways the appropriateness of the applied periodicities. Analysis of numerous information and data in the calibration and testing reports could be pooled and operated on behalf of the unique establishment. The objective of this article is to illustrate these reflections with a few examples from of a feedback of the EFS Pyrénées Méditerranée. The analysis of some methods of qualification, the exploitation of the historical metrology in order to quantify the risk of non-compliance, and to adapt the control strategy, analysis of the criticality of an instrument in a measurement process, risk analyses are tools that deserve to be more widely exploited for that discipline wins in efficiency at the national level.

Partial and radical nephrectomy provide comparable long-term cancer control for T1b renal cell carcinoma.

OBJECTIVES: To examine utilization rates of partial nephrectomy relative to radical nephrectomy for T1b renal cell carcinoma in contemporary years, to identify sociodemographic and disease characteristics associated with partial nephrectomy use, and to compare effectiveness of partial versus radical nephrectomy with respect to cancer control. METHODS: Using the Surveillance, Epidemiology, and End Results database, 16,333 patients treated with partial or radical nephrectomy for T1bN0M0 renal cell carcinoma between 1988 and 2008 were identified. Logistic regression models were carried out to identify determinants of partial nephrectomy. Subsequently, cumulative incidence rates of cancer-specific and other-cause mortality between partial and radical nephrectomy were assessed, within the matched cohort. Furthermore, competing-risks regression analyses were used for prediction of cancer-specific mortality, after adjusting for other-cause mortality, and vice versa. RESULTS: The utilization rate of partial nephrectomy increased from 1.2% in 1988 to 15.9% in 2008 (P < 0.001). Younger individuals, smaller tumors, persons of black race, as well as men, were more likely to be treated with partial nephrectomy in the current cohort (all P ≤ 0.002). In the post-propensity cohort, the 5- and 10-year cancer-specific mortality rates were 4.4 and 6.1% for partial versus 6.0 and 10.4% for radical nephrectomy, respectively (P = 0.03). Competing-risks regression analyses showed that nephrectomy type was not statistically significantly associated with cancer-specific mortality, even after adjusting for other-cause mortality (hazard ratio 0.89, P = 0.5). CONCLUSIONS: Despite providing a comparable cancer control, the use of partial over radical nephrectomy for T1b renal cell carcinoma in USA has remained limited in recent years.

EvacuAid: a probabilistic model to determine the expected loss of life for different mass evacuation strategies during flood threats.

Evacuation of people in case of a threat is a possible risk management strategy. Evacuation has the potential to save lives, but it can be costly with respect to time, money, and credibility. The consequences of an evacuation strategy depend on a combination of the time available, citizen response, authority response, and capacity of the infrastructure. The literature that discusses evacuations in case of flood risk management focuses, in most cases, only on a best-case strategy as a preventive evacuation and excludes other possible strategies. This article introduces a probabilistic method, EvacuAid, to determine the benefits of different types of evacuation with regards to loss of life. The method is applied for a case study in the Netherlands for preventive and vertical evacuation due to flood risk. The results illustrate the impact of uncertainties in available time and actual conditions (e.g., the responses of citizens and authorities and the use of infrastructure). It is concluded that preparation for evacuation requires adaptive planning that takes preventive and vertical evacuation into account, based on a risk management approach.