scholarly journals ECCDIA: an interactive web tool for the comprehensive analysis of clinical and survival data of esophageal cancer patients

BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Jingcheng Yang ◽  
Jun Shang ◽  
Qian Song ◽  
Zuyi Yang ◽  
Jianing Chen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Esophageal Cancer ◽  
Survival Analysis ◽  
Data Analysis ◽  
Clinical Data ◽  
Survival Data ◽  
Basic Data ◽  
Distribution Analysis ◽  
Clinical Factors ◽  
Incidence And Mortality

Abstract Background Esophageal cancer (EC) is considered as one of the deadliest malignancies with respect to incidence and mortality rate, and numerous risk factors may affect the prognosis of EC patients. For better understanding of the risk factors associated with the onset and prognosis of this malignancy, we develop an interactive web-based tool for the convenient analysis of clinical and survival characteristics of EC patients. Methods The clinical data were obtained from The Surveillance, Epidemiology, and End Results (SEER) database. Seven analysis and visualization modules were built with Shiny. Results The Esophageal Cancer Clinical Data Interactive Analysis (ECCDIA, http://webapps.3steps.cn/ECCDIA/) was developed to provide basic data analysis, visualization, survival analysis, and nomogram of the overall group and subgroups of 77,273 EC patients recorded in SEER. The basic data analysis modules contained distribution analysis of clinical factor ratios, Sankey plot analysis for relationships between clinical factors, and a map for visualizing the distribution of clinical factors. The survival analysis included Kaplan-Meier (K-M) analysis and Cox analysis for different subgroups of EC patients. The nomogram module enabled clinicians to precisely predict the survival probability of different subgroups of EC patients. Conclusion ECCDIA provides clinicians with an interactive prediction and visualization tool for visualizing invaluable clinical and prognostic information of individual EC patients, further providing useful information for better understanding of esophageal cancer.

scholarly journals Global Burden, Risk Factors, and Trends of Esophageal Cancer: An Analysis of Cancer Registries from 48 Countries

Cancers ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 141
Author(s):  
Junjie Huang ◽  
Anastasios Koulaouzidis ◽  
Wojciech Marlicz ◽  
Veeleah Lok ◽  
Cedric Chu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Esophageal Cancer ◽  
The Netherlands ◽  
Cancer Registries ◽  
Global Burden ◽  
Annual Percent Change ◽  
The United Kingdom ◽  
Incidence And Mortality ◽  
Elevated Cholesterol ◽  
Prevalence Of Obesity

This study aimed to examine the global burden, risk factors, and trends of esophageal cancer based on age, sex, and histological subtype. The data were retrieved from cancer registries database from 48 countries in the period 1980–2017. Temporal patterns of incidence and mortality were evaluated by average annual percent change (AAPC) using joinpoint regression. Associations with risk factors were examined by linear regression. The highest incidence of esophageal cancer was observed in Eastern Asia. The highest incidence of adenocarcinoma (AC) was found in the Netherlands, the United Kingdom, and Ireland. A higher AC/squamous cell carcinoma (SCC) incidence ratio was associated with a higher prevalence of obesity and elevated cholesterol. We observed an incidence increase (including AC and SCC) in some countries, with the Czech Republic (female: AAPC 4.66), Spain (female: 3.41), Norway (male: 3.10), Japan (female: 2.18), Thailand (male: 2.17), the Netherlands (male: 2.11; female: 1.88), and Canada (male: 1.51) showing the most significant increase. Countries with increasing mortality included Thailand (male: 5.24), Austria (female: 3.67), Latvia (male: 2.33), and Portugal (male: 1.12). Although the incidence of esophageal cancer showed an overall decreasing trend, an increasing trend was observed in some countries with high AC/SCC incidence ratios. More preventive measures are needed for these countries.

scholarly journals Risk factors associated with Richter’s transformation in patients with chronic lymphocytic leukaemia: protocol for a retrospective population-based cohort study

BMJ Open ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. e023566 ◽  
Author(s):  
Mariam Hussein Hleuhel ◽  
Yasmin Ben-Dali ◽  
Caspar Da Cunha-Bang ◽  
Christian Brieghel ◽  
Erik Clasen-Linde ◽  
...  
Keyword(s):  
Risk Factors ◽  
Survival Analysis ◽  
Chronic Lymphocytic Leukaemia ◽  
Clinical Data ◽  
Lymphocytic Leukaemia ◽  
B Cell Lymphoma ◽  
Aggressive Lymphoma ◽  
Richter’S Transformation ◽  
Richter's Transformation

IntroductionRichter’s transformation (RT) refers to the development of an aggressive lymphoma in patients with chronic lymphocytic leukaemia (CLL) or small lymphocytic lymphoma. Studies have shown that 2–10% of patients with CLL develop RT including diffuse large B-cell lymphoma (DLBCL) and less common Hodgkin lymphoma (HL). This study aims to assess the risk factors for RT of CLL in a nationwide cohort. Additionally, we want to examine prognostic factors in patients with RT. These findings may guide management of treated as well as untreated patients with CLL in the risk of RT.MethodsClinical data for patients diagnosed with CLL between 2008 and 2016 will be retrieved from the Danish National CLL registry (DCLLR). Using the Danish unique person identification number, clinical data will be merged with histologically verified DLBCL and/or HL diagnoses retrieved from the Danish National Pathology Data Bank. This will ensure complete follow-up for all patients.The DCLLR includes data from more than 4000 patients with CLL ensuring a median follow-up of 3 years. With the reported incidences (2-10%) of RT, we expect to identify 80–200 CLL patients with RT enabling analysis of overall survival following RT. From time of CLL diagnosis, estimates of cumulative incidence of RT will be calculated using the Aalen-Johansen estimator. From time of RT diagnosis, survival analysis will be performed by Kaplan-Meier method. Cox proportional hazards models will be used for multivariable survival analysis.Ethics and disseminationApprovals for data collection and analysis was obtained from the Danish Data Protection Agency and the Danish Health Authorities. All data will be managed confidentially according to guidelines and legislation. The dissemination will include a publication of scientific papers and/or presentations of the study findings at international conferences.

scholarly journals Gender-Dependent Specificities in Cutaneous Melanoma Predisposition, Risk Factors, Somatic Mutations, Prognostic and Predictive Factors: A Systematic Review

2021 ◽  
Vol 18 (15) ◽  
pp. 7945
Author(s):  
Oriana D’Ecclesiis ◽  
Saverio Caini ◽  
Chiara Martinoli ◽  
Sara Raimondi ◽  
Camilla Gaiaschi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Predictive Factors ◽  
Survival Data ◽  
Cutaneous Melanoma ◽  
Sex And Gender ◽  
Immune Functions ◽  
Men And Women ◽  
Incidence And Mortality ◽  
Prognostic And Predictive Factors

Background and aim: Over the last decades, the incidence of melanoma has been steadily growing, with 4.2% of the population worldwide affected by cutaneous melanoma (CM) in 2020 and with a higher incidence and mortality in men than in women. We investigated both the risk factors for CM development and the prognostic and predictive factors for survival, stratifying for both sex and gender. Methods: We conducted a systematic review of studies indexed in PUB-MED, EMBASE, and Scopus until 4 February 2021. We included reviews, meta-analyses, and pooled analyses investigating differences between women and men in CM risk factors and in prognostic and predictive factors for CM survival. Data synthesis: Twenty-four studies were included, and relevant data extracted. Of these, 13 studies concerned potential risk factors, six concerned predictive factors, and five addressed prognostic factors of melanoma. Discussion: The systematic review revealed no significant differences in genetic predisposition to CM between males and females, while there appear to be several gender disparities regarding CM risk factors, partly attributable to different lifestyles and behavioral habits between men and women. There is currently no clear evidence of whether the mutational landscapes of CM differ by sex/gender. Prognosis is justified by a complex combination of phenotypes and immune functions, while reported differences between genders in predicting the effectiveness of new treatments are inconsistent. Overall, the results emerging from the literature reveal the importance of considering the sex/gender variable in all studies and pave the way for including it towards precision medicine. Conclusion: Men and women differ genetically, biologically, and by social construct. Our systematic review shows that, although fundamental, the variable sex/gender is not among the ones collected and analyzed.

scholarly journals Risk factors for in-hospital mortality in laboratory-confirmed COVID-19 patients in the Netherlands: A competing risk survival analysis

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0249231
Author(s):  
Gerine Nijman ◽  
Maike Wientjes ◽  
Jordache Ramjith ◽  
Nico Janssen ◽  
Jacobien Hoogerwerf ◽  
...  
Keyword(s):  
Risk Factors ◽  
Survival Analysis ◽  
The Netherlands ◽  
Hospital Mortality ◽  
Survival Data ◽  
Competing Risk ◽  
Early Warning Score ◽  
Risk Of Death ◽  
Antiplatelet Medication ◽  
Increased Risk

Background To date, survival data on risk factors for COVID-19 mortality in western Europe is limited, and none of the published survival studies have used a competing risk approach. This study aims to identify risk factors for in-hospital mortality in COVID-19 patients in the Netherlands, considering recovery as a competing risk. Methods In this observational multicenter cohort study we included adults with PCR-confirmed SARS-CoV-2 infection that were admitted to one of five hospitals in the Netherlands (March to May 2020). We performed a competing risk survival analysis, presenting cause-specific hazard ratios (HRCS) for the effect of preselected factors on the absolute risk of death and recovery. Results 1,006 patients were included (63.9% male; median age 69 years, IQR: 58–77). Patients were hospitalized for a median duration of 6 days (IQR: 3–13); 243 (24.6%) of them died, 689 (69.9%) recovered, and 74 (7.4%) were censored. Patients with higher age (HRCS 1.10, 95% CI 1.08–1.12), immunocompromised state (HRCS 1.46, 95% CI 1.08–1.98), who used anticoagulants or antiplatelet medication (HRCS 1.38, 95% CI 1.01–1.88), with higher modified early warning score (MEWS) (HRCS 1.09, 95% CI 1.01–1.18), and higher blood LDH at time of admission (HRCS 6.68, 95% CI 1.95–22.8) had increased risk of death, whereas fever (HRCS 0.70, 95% CI 0.52–0.95) decreased risk of death. We found no increased mortality risk in male patients, high BMI or diabetes. Conclusion Our competing risk survival analysis confirms specific risk factors for COVID-19 mortality in a the Netherlands, which can be used for prediction research, more intense in-hospital monitoring or prioritizing particular patients for new treatments or vaccination.

User Evaluation of an Integrated Medical Workstation for Clinical Data Analysis

1993 ◽  
Vol 32 (05) ◽  
pp. 365-372 ◽  
Author(s):  
T. Timmeis ◽  
J. H. van Bemmel ◽  
E. M. van Mulligen
Keyword(s):  
Data Analysis ◽  
Clinical Research ◽  
Clinical Data ◽  
University Hospital ◽  
User Evaluation ◽  
Scientific Staff ◽  
Medical Institutions ◽  
Clinical Data Analysis ◽  
Research Problems ◽  
The University

AbstractResults are presented of the user evaluation of an integrated medical workstation for support of clinical research. Twenty-seven users were recruited from medical and scientific staff of the University Hospital Dijkzigt, the Faculty of Medicine of the Erasmus University Rotterdam, and from other Dutch medical institutions; and all were given a written, self-contained tutorial. Subsequently, an experiment was done in which six clinical data analysis problems had to be solved and an evaluation form was filled out. The aim of this user evaluation was to obtain insight in the benefits of integration for support of clinical data analysis for clinicians and biomedical researchers. The problems were divided into two sets, with gradually more complex problems. In the first set users were guided in a stepwise fashion to solve the problems. In the second set each stepwise problem had an open counterpart. During the evaluation, the workstation continuously recorded the user’s actions. From these results significant differences became apparent between clinicians and non-clinicians for the correctness (means 54% and 81%, respectively, p = 0.04), completeness (means 64% and 88%, respectively, p = 0.01), and number of problems solved (means 67% and 90%, respectively, p = 0.02). These differences were absent for the stepwise problems. Physicians tend to skip more problems than biomedical researchers. No statistically significant differences were found between users with and without clinical data analysis experience, for correctness (means 74% and 72%, respectively, p = 0.95), and completeness (means 82% and 79%, respectively, p = 0.40). It appeared that various clinical research problems can be solved easily with support of the workstation; the results of this experiment can be used as guidance for the development of the successor of this prototype workstation and serve as a reference for the assessment of next versions.

Nutritional assessment and risk factors associated to malnutrition in patients with esophageal cancer

2020 ◽  
pp. 100638
Author(s):  
Jingjing Cao ◽  
Hongxia Xu ◽  
Wei Li ◽  
Zengqing Guo ◽  
Yuan Lin ◽  
...  
Keyword(s):  
Risk Factors ◽  
Esophageal Cancer ◽  
Nutritional Assessment ◽  
Factors Associated

scholarly journals The Assessment of Early Complications and Risk Factors Affecting Their Occurrence in Breast Reconstructive Procedures

2021 ◽  
Author(s):  
Justyna Jończyk ◽  
Jerzy Jankau
Keyword(s):  
Risk Factors ◽  
Postoperative Complications ◽  
Breast Reconstruction ◽  
Complication Rate ◽  
Clinical Factors ◽  
Early Complications ◽  
Reconstructive Procedures ◽  
Factors Affecting ◽  
Rehospitalization Rate ◽  
Early Postoperative Complications

AbstractThe presence of postoperative complications may have a significant impact on the outcome of the breast reconstruction. The aim of this study was to investigate early postoperative complications and the risk factors for their occurrence. A prospective analysis was carried out to evaluate surgical outcomes after breast reconstructive surgeries performed over a 2-year period. Procedures included expander/implant (TE/IMP), pedicle transverse rectus abdominis musculocutaneous (pTRAM), and latissimus dorsi (LD) techniques. All adverse events which occurred within 6 weeks of surgery were ranked according to severity based on the contracted Accordion grading system. Outcomes were assessed for their association with surgical, demographic, and clinical variables. Sixty-one consecutive breast reconstruction procedures were analyzed. The overall complication rate was 60.7% (n = 37), and 8 patients (13.1%) required reoperation. The lowest complication rate was observed in implant-based reconstructions (TE/IMP, 18.8%; pTRAM, 72.7%; LD, 78.3%; p = 0.008). Mild complications occurred significantly more often after LD reconstructions (LD, 60.9%; pTRAM, 22.7%; TE/IMP, 12.5%; p = 0.031), while severe complications were significantly more frequent after the pTRAM procedures (pTRAM, 27.3%; TE/IMP, 6.2%; LD, 8.7%; p = 0.047). Severe complications were associated with higher rehospitalization rate (p = 0.010) and longer hospital stay. Study revealed a significant impact of the operative method on the incidence and severity of early complications after breast reconstruction procedures with little effect from other demographic and clinical factors.

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