The Experts below are selected from a list of 490422 Experts worldwide ranked by ideXlab platform
Henrik Møller - One of the best experts on this subject based on the ideXlab platform.
-
Is Cancer Survival associated with Cancer symptom awareness and barriers to seeking medical help in England? An ecological study.
British journal of cancer, 2016Co-Authors: Maja Niksic, Bernard Rachet, Manuela Quaresma, Henrik Møller, Stephen W. Duffy, Lindsay J L ForbesAbstract:: Campaigns aimed at raising Cancer awareness and encouraging early presentation have been implemented in England. However, little is known about whether people with low Cancer awareness and increased barriers to seeking medical help have worse Cancer Survival, and whether there is a geographical variation in Cancer awareness and barriers in England. : From population-based surveys (n=35 308), using the Cancer Research UK Cancer Awareness Measure, we calculated the age- and sex-standardised symptom awareness and barriers scores for 52 primary care trusts (PCTs). These measures were evaluated in relation to the sex-, age-, and type of Cancer-standardised Cancer Survival index of the corresponding PCT, from the National Cancer Registry, using linear regression. Breast, lung, and bowel Cancer Survival were analysed separately. : Cancer symptom awareness and barriers scores varied greatly between geographical regions in England, with the worst scores observed in socioeconomically deprived parts of East London. Low Cancer awareness score was associated with poor Cancer Survival at PCT level (estimated slope=1.56, 95% CI: 0.56; 2.57). The barriers score was not associated with overall Cancer Survival, but it was associated with breast Cancer Survival (estimated slope=-0.66, 95% CI: -1.20; -0.11). Specific barriers, such as embarrassment and difficulties in arranging transport to the doctor's surgery, were associated with worse breast Cancer Survival. : Cancer symptom awareness and Cancer Survival are associated. Campaigns should focus on improving awareness about Cancer symptoms, especially in socioeconomically deprived areas. Efforts should be made to alleviate barriers to seeking medical help in women with symptoms of breast Cancer.
-
Cancer Survival is dependent on season of diagnosis and sunlight exposure
International journal of cancer, 2006Co-Authors: Hyun-sook Lim, Rahul Roychoudhuri, Julian Peto, Gary G. Schwartz, Peter D. Baade, Henrik MøllerAbstract:Sunlight is essential for the production of vitamin D in the body. Evidence exists to suggest that vitamin D metabolites may have a role in tumor growth suppression. In this large study, involving over a million Cancer patients from the United Kingdom, we have analyzed the role of season of diagnosis and sunlight exposure in Cancer Survival for Cancers of the breast, colorectum, lung, prostate and at all sites combined. We used population-based data from the Thames Cancer Registry to analyze Cancer Survival in periods 0-1 and 0-5 years after diagnosis. The analysis was performed using Cox proportional regression analysis adjusting for age and period at diagnosis and including season of diagnosis and sunlight exposure in the preceding months as factors in the analysis. We found evidence of substantial seasonality in Cancer Survival, with diagnosis in summer and autumn associated with improved Survival compared with that in winter, especially in female breast Cancer patients and both male and female lung Cancer patients (hazard ratios 0.86 [95% CI 0.83-0.89], 0.95 [95% CI 0.92-0.97] and 0.95 [95% CI 0.93-0.98] respectively). Cumulative sunlight exposure in the months preceding diagnosis was also a predictor of subsequent Survival, although season of diagnosis was a stronger predictor than cumulative sunlight exposure. We found seasonality in Cancer Survival to be stronger in women than in men. Our results add to a growing body of evidence that vitamin D metabolites play an important role in Cancer Survival.
-
FAST TRACK Cancer Survival is dependent on season of diagnosis and sunlight exposure
2006Co-Authors: Hyun-sook Lim, Rahul Roychoudhuri, Julian Peto, Gary G. Schwartz, Peter D. Baade, Henrik MøllerAbstract:Sunlight is essential for the production of vitamin D in the body. Evidence exists to suggest that vitamin D metabolites may have a role in tumor growth suppression. In this large study, involving over a million Cancer patients from the United Kingdom, we have analyzed the role of season of diagnosis and sunlight exposure in Cancer Survival for Cancers of the breast, colorectum, lung, prostate and at all sites combined. We used population-based data from the Thames Cancer Registry to analyze Cancer Survival in periods 0–1 and 0–5 years after diagnosis. The analysis was performed using Cox proportional regression analysis adjusting for age and period at diagnosis and including season of diagnosis and sunlight exposure in the preceding months as factors in the analysis. We found evidence of substantial seasonality in Cancer Survival, with diagnosis in summer and autumn associated with improved Survival compared with that in winter, especially in female breast Cancer patients and both male and female lung Cancer patients (hazard ratios 0.86 [95% CI 0.83–0.89], 0.95 [95% CI 0.92–0.97] and 0.95 [95% CI 0.93–0.98] respectively). Cumulative sunlight exposure in the months preceding diagnosis was also a predictor of subsequent Survival, although season of diagnosis was a stronger predictor than cumulative sunlight exposure. We found seasonality in Cancer Survival to be stronger in women than in men. Our results add to a growing body of evidence that vitamin D metabolites play an important role in Cancer Survival. ' 2006 Wiley-Liss, Inc.
Michel P Coleman - One of the best experts on this subject based on the ideXlab platform.
-
Public health surveillance of Cancer Survival in the United States and worldwide: The contribution of the CONCORD programme.
Cancer, 2017Co-Authors: Claudia Allemani, Michel P ColemanAbstract:CONCORD is a programme for the global surveillance of Cancer Survival. In 2015, the second cycle of the program (CONCORD-2) established long-term surveillance of Cancer Survival worldwide, for the first time, in the largest Cancer Survival study published to date. CONCORD-2 provided Cancer Survival trends for 25,676,887 patients diagnosed during the 15-year period between 1995 and 2009 with 1 of 10 common Cancers that collectively represented 63% of the global Cancer burden in 2009. Herein, the authors summarize the past, describe the present, and outline the future of the CONCORD programme. They discuss the difference between population-based studies and clinical trials, and review the importance of international comparisons of population-based Cancer Survival. This study will focus on the United States. The authors explain why population-based Survival estimates are crucial for driving effective Cancer control strategies to reduce the wide and persistent disparities in Cancer Survival between white and black patients, which are likely to be attributable to differences in access to early diagnosis and optimal treatment. Cancer 2017;123:4977-81. Published 2017. This article is a U.S. Government work and is in the public domain in the USA.
-
Control of data quality for population-based Cancer Survival analysis
Cancer epidemiology, 2014Co-Authors: Louise Abela, Laura M. Woods, Bernard Rachet, Jonathan Moore, Ula Nur, Claudia Allemani, Michel P ColemanAbstract:Abstract Background Population-based Cancer Survival is an important measure of the overall effectiveness of Cancer care in a population. Population-based Cancer registries collect data that enable the estimation of Cancer Survival. To ensure accurate, consistent and comparable Survival estimates, strict control of data quality is required before the Survival analyses are carried out. In this paper, we present a basis for data quality control for Cancer Survival. Methods We propose three distinct phases for the quality control. Firstly, each individual variable within a given record is examined to identify departures from the study protocol; secondly, each record is checked and excluded if it is ineligible or logically incoherent for analysis; lastly, the distributions of key characteristics in the whole dataset are examined for their plausibility. Results Data for patients diagnosed with bladder Cancer in England between 1991 and 2010 are used as an example to aid the interpretation of the differences in data quality. The effect of different aspects of data quality on Survival estimates is discussed. Conclusions We recommend that the results of data quality procedures should be reported together with the findings from Survival analysis, to facilitate their interpretation.
-
Cancer Survival: global surveillance will stimulate health policy and improve equity
Lancet (London England), 2013Co-Authors: Michel P ColemanAbstract:Millions of people will continue to be diagnosed with Cancer every year for the foreseeable future. These patients all need access to optimum health care. Population-based Cancer Survival is a key measure of the overall effectiveness of health systems in management of Cancer. Survival varies very widely around the world. Global surveillance of Cancer Survival is needed, because unless these avoidable inequalities are measured, and reported on regularly, nothing will be done explicitly to reduce them.
-
Funnel plots for population‐based Cancer Survival: principles, methods and applications
Statistics in medicine, 2013Co-Authors: Manuela Quaresma, Michel P Coleman, Bernard RachetAbstract:Funnel plots are graphical tools designed to detect excessive variation in performance indicators by simple visual inspection of the data. Their main use in the biomedical domain so far has been to detect publication bias in meta-analyses, but they have also been recommended as the most appropriate way to display performance indicators for a vast range of health-related outcomes. Here, we extend the use of funnel plots to population-based Cancer Survival and several related measures. We present three applications to familiarise the reader with their interpretation. We propose funnel plots for various Cancer Survival measures, as well as age-standardised Survival, trends in Survival and excess hazard ratios. We describe the components of a funnel plot and the formulae for the construction of the control limits for each of these Survival measures. We include three transformations to construct the control limits for the Survival function: complementary log-log, logit and logarithmic transformations. We present applications of funnel plots to explore the following: (i) small-area and temporal variation in Cancer Survival; (ii) racial and geographical variation in Cancer Survival; and (iii) geographical variation in the excess hazard of death. Funnel plots provide a simple and informative graphical tool to display geographical variation and trend in a range of Cancer Survival measures. We recommend their use as a routine instrument for Cancer Survival comparisons, to inform health policy makers in planning and assessing Cancer policies. We advocate the use of the complementary log-log or logit transformation to construct the control limits for the Survival function.
-
Rebuttal to editorial saying Cancer Survival statistics are misleading
BMJ (Clinical research ed.), 2011Co-Authors: Michel P Coleman, Laura M. Woods, Riccardo Capocaccia, Paul W. Dickman, Bernard Rachet, Franco Berrino, John Butler, Anna Gavin, Roch Giorgi, Willie HamiltonAbstract:Beral and Peto’s 2010 editorial on Cancer Survival statistics is unfounded, untenable, and inconsistent.1 Godlee reported in September 2010 that they were then too busy to defend it.2 The editorial is indefensible. It should be withdrawn. The editorial is unfounded. The provocative subtitle, “UK Cancer Survival statistics are misleading and make Survival look worse than it is,” is pure conjecture. Conjecture becomes assertion, then …
Peter D. Baade - One of the best experts on this subject based on the ideXlab platform.
-
Estimating Cancer Survival - improving accuracy and relevance.
Australian and New Zealand journal of public health, 2016Co-Authors: Peter D. Baade, Susanna M. Cramb, Paramita Dasgupta, Danny R. YouldenAbstract:With the number of people diagnosed with Cancer increasing globally each year, the role of accurate and relevant indicators of the effectiveness of current management strategies at a population level is crucial for governments, policy makers, clinicians and planners as they seek to allocate and prioritise scarce resources and appropriately understand the changing burden of Cancer. One such indicator is Cancer Survival...
-
Cancer Survival is dependent on season of diagnosis and sunlight exposure
International journal of cancer, 2006Co-Authors: Hyun-sook Lim, Rahul Roychoudhuri, Julian Peto, Gary G. Schwartz, Peter D. Baade, Henrik MøllerAbstract:Sunlight is essential for the production of vitamin D in the body. Evidence exists to suggest that vitamin D metabolites may have a role in tumor growth suppression. In this large study, involving over a million Cancer patients from the United Kingdom, we have analyzed the role of season of diagnosis and sunlight exposure in Cancer Survival for Cancers of the breast, colorectum, lung, prostate and at all sites combined. We used population-based data from the Thames Cancer Registry to analyze Cancer Survival in periods 0-1 and 0-5 years after diagnosis. The analysis was performed using Cox proportional regression analysis adjusting for age and period at diagnosis and including season of diagnosis and sunlight exposure in the preceding months as factors in the analysis. We found evidence of substantial seasonality in Cancer Survival, with diagnosis in summer and autumn associated with improved Survival compared with that in winter, especially in female breast Cancer patients and both male and female lung Cancer patients (hazard ratios 0.86 [95% CI 0.83-0.89], 0.95 [95% CI 0.92-0.97] and 0.95 [95% CI 0.93-0.98] respectively). Cumulative sunlight exposure in the months preceding diagnosis was also a predictor of subsequent Survival, although season of diagnosis was a stronger predictor than cumulative sunlight exposure. We found seasonality in Cancer Survival to be stronger in women than in men. Our results add to a growing body of evidence that vitamin D metabolites play an important role in Cancer Survival.
-
FAST TRACK Cancer Survival is dependent on season of diagnosis and sunlight exposure
2006Co-Authors: Hyun-sook Lim, Rahul Roychoudhuri, Julian Peto, Gary G. Schwartz, Peter D. Baade, Henrik MøllerAbstract:Sunlight is essential for the production of vitamin D in the body. Evidence exists to suggest that vitamin D metabolites may have a role in tumor growth suppression. In this large study, involving over a million Cancer patients from the United Kingdom, we have analyzed the role of season of diagnosis and sunlight exposure in Cancer Survival for Cancers of the breast, colorectum, lung, prostate and at all sites combined. We used population-based data from the Thames Cancer Registry to analyze Cancer Survival in periods 0–1 and 0–5 years after diagnosis. The analysis was performed using Cox proportional regression analysis adjusting for age and period at diagnosis and including season of diagnosis and sunlight exposure in the preceding months as factors in the analysis. We found evidence of substantial seasonality in Cancer Survival, with diagnosis in summer and autumn associated with improved Survival compared with that in winter, especially in female breast Cancer patients and both male and female lung Cancer patients (hazard ratios 0.86 [95% CI 0.83–0.89], 0.95 [95% CI 0.92–0.97] and 0.95 [95% CI 0.93–0.98] respectively). Cumulative sunlight exposure in the months preceding diagnosis was also a predictor of subsequent Survival, although season of diagnosis was a stronger predictor than cumulative sunlight exposure. We found seasonality in Cancer Survival to be stronger in women than in men. Our results add to a growing body of evidence that vitamin D metabolites play an important role in Cancer Survival. ' 2006 Wiley-Liss, Inc.
Hyun-sook Lim - One of the best experts on this subject based on the ideXlab platform.
-
Cancer Survival is dependent on season of diagnosis and sunlight exposure
International journal of cancer, 2006Co-Authors: Hyun-sook Lim, Rahul Roychoudhuri, Julian Peto, Gary G. Schwartz, Peter D. Baade, Henrik MøllerAbstract:Sunlight is essential for the production of vitamin D in the body. Evidence exists to suggest that vitamin D metabolites may have a role in tumor growth suppression. In this large study, involving over a million Cancer patients from the United Kingdom, we have analyzed the role of season of diagnosis and sunlight exposure in Cancer Survival for Cancers of the breast, colorectum, lung, prostate and at all sites combined. We used population-based data from the Thames Cancer Registry to analyze Cancer Survival in periods 0-1 and 0-5 years after diagnosis. The analysis was performed using Cox proportional regression analysis adjusting for age and period at diagnosis and including season of diagnosis and sunlight exposure in the preceding months as factors in the analysis. We found evidence of substantial seasonality in Cancer Survival, with diagnosis in summer and autumn associated with improved Survival compared with that in winter, especially in female breast Cancer patients and both male and female lung Cancer patients (hazard ratios 0.86 [95% CI 0.83-0.89], 0.95 [95% CI 0.92-0.97] and 0.95 [95% CI 0.93-0.98] respectively). Cumulative sunlight exposure in the months preceding diagnosis was also a predictor of subsequent Survival, although season of diagnosis was a stronger predictor than cumulative sunlight exposure. We found seasonality in Cancer Survival to be stronger in women than in men. Our results add to a growing body of evidence that vitamin D metabolites play an important role in Cancer Survival.
-
FAST TRACK Cancer Survival is dependent on season of diagnosis and sunlight exposure
2006Co-Authors: Hyun-sook Lim, Rahul Roychoudhuri, Julian Peto, Gary G. Schwartz, Peter D. Baade, Henrik MøllerAbstract:Sunlight is essential for the production of vitamin D in the body. Evidence exists to suggest that vitamin D metabolites may have a role in tumor growth suppression. In this large study, involving over a million Cancer patients from the United Kingdom, we have analyzed the role of season of diagnosis and sunlight exposure in Cancer Survival for Cancers of the breast, colorectum, lung, prostate and at all sites combined. We used population-based data from the Thames Cancer Registry to analyze Cancer Survival in periods 0–1 and 0–5 years after diagnosis. The analysis was performed using Cox proportional regression analysis adjusting for age and period at diagnosis and including season of diagnosis and sunlight exposure in the preceding months as factors in the analysis. We found evidence of substantial seasonality in Cancer Survival, with diagnosis in summer and autumn associated with improved Survival compared with that in winter, especially in female breast Cancer patients and both male and female lung Cancer patients (hazard ratios 0.86 [95% CI 0.83–0.89], 0.95 [95% CI 0.92–0.97] and 0.95 [95% CI 0.93–0.98] respectively). Cumulative sunlight exposure in the months preceding diagnosis was also a predictor of subsequent Survival, although season of diagnosis was a stronger predictor than cumulative sunlight exposure. We found seasonality in Cancer Survival to be stronger in women than in men. Our results add to a growing body of evidence that vitamin D metabolites play an important role in Cancer Survival. ' 2006 Wiley-Liss, Inc.
Jan Willem Coebergh - One of the best experts on this subject based on the ideXlab platform.
-
Why Cancer Survival may worsen
Nature Reviews Clinical Oncology, 2010Co-Authors: Esther De Vries, Henrike E. Karim-kos, Maryska L.g. Janssen-heijnen, Isabelle Soerjomataram, Bart Kiemeney, Jan Willem CoeberghAbstract:textabstractIf Cancer Survival is reported to be worsening over time or inferior compared to other countries, politicians and health-care workers may get blamed because suboptimal care is presumed to be the cause. Yet, a variety of reasons exist for Cancer Survival statistics to change for the worse, of which deterioration of care is only one. Another explanation is that the improved diagnosis of premalignant lesions causes Survival statistics to reflect only the most aggressive Cancers-those with the poorest prognosis. In addition, deleterious changes in the distribution of prognostic factors and in the distribution of sociodemographic characteristics may negatively affect Survival proportions. In this article, we identify the pitfalls that might be encountered in comparisons of published, population-based Survival data from different time periods or populations.
-
Explanations for worsening Cancer Survival
Nature reviews. Clinical oncology, 2010Co-Authors: Esther De Vries, Henrike E. Karim-kos, Maryska L.g. Janssen-heijnen, Isabelle Soerjomataram, Lambertus A. Kiemeney, Jan Willem CoeberghAbstract:If Cancer Survival is reported to be worsening over time or inferior compared to other countries, politicians and health-care workers may get blamed because suboptimal care is presumed to be the cause. Yet, a variety of reasons exist for Cancer Survival statistics to change for the worse, of which deterioration of care is only one. Another explanation is that the improved diagnosis of premalignant lesions causes Survival statistics to reflect only the most aggressive Cancers-those with the poorest prognosis. In addition, deleterious changes in the distribution of prognostic factors and in the distribution of sociodemographic characteristics may negatively affect Survival proportions. In this article, we identify the pitfalls that might be encountered in comparisons of published, population-based Survival data from different time periods or populations.
