scholarly journals Current Data on Risk Factor Estimates Does Not Explain the Difference in Rates of Melanoma between Hispanics and Non-Hispanic Whites

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Sonia Kamath ◽  
Kimberly A. Miller ◽  
Myles G. Cockburn
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Current Knowledge ◽  
Sun Exposure ◽  
Incidence Rates ◽  
Melanoma Risk ◽  
Similar Frequency ◽  
Red Hair ◽  
Melanoma Incidence ◽  
The Difference

United States Hispanics have seven times lower melanoma incidence rates than non-Hispanic whites (NHW). It is unclear whether this difference can be explained solely by phenotypic risk factors, like darker skin, or whether modifiable risk factors, like sun exposure, also play a role. The purpose of this paper is to summarize what is currently known about melanoma risk factors among Hispanics and NHWs, and whether or not those differences could explain the difference in melanoma incidence. Through literature review, relative risks and prevalence of melanoma risk factors in Hispanics and NHWs were identified and used to calculate the expected rate in Hispanics and rate ratio compared to NHWs. We found that melanoma risk factors either have similar frequency in Hispanics and NHWs (e.g., many large nevi) or are less frequent in Hispanics but do not explain a high proportion of disease variation (e.g., red hair). Considering current knowledge of risk factor prevalence, we found that melanoma incidence rates in the two groups should actually be similar. Sun exposure behavior among Hispanics may contribute to the explanation for the 7-fold difference in melanoma rates. Currently, limited data exist on sun exposure behavior among Hispanics, but possibilities for improving primary prevention by further studying these practices are substantial.

Personal melanoma risk awareness versus intrinsic risk.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 9069-9069
Author(s):  
Caroline Robert ◽  
Céleste Lebbé ◽  
Sevrine Ricard ◽  
Philippe Saiag ◽  
Florent Grange ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Family History ◽  
Sun Exposure ◽  
Risk Level ◽  
Control Group ◽  
Melanoma Risk ◽  
Protection Measures ◽  
Frequent Use ◽  
History Of

9069 Background: Intrinsic risk factors for melanoma include personal and family history of the condition, a high number of naevi and a light skin phototype (I or II). The objective of this study was to evaluate the correlation between personal awareness of melanoma risk and objective risk factors and to analyze the elements associated with under-or over-evaluation of the actual risk. Methods: EDIFICE melanoma, a nationwide French observational survey, was conducted through phone interviews on a representative sample of 1502 subjects aged ≥ 18 using typical quotas. The survey took place from 28th Sept 2011 to 20th Oct 2011. Results: 393 subjects (26%) had at least one melanoma risk factor: personal: 1%; family history: 11%; high number of naevi: 8% and phototype I-II: 11%. 1109 (74%) had no risk factor. 1029 (73%) had a correct perception of their risk level, 135 (10%) overestimated their risk and 241 (17%) underestimated it. Compared to the control group (correct perception), the population overestimating the melanoma risk is characterised by a higher percentage of individuals living alone (32% vs. 24%, p<0.05), socio-professional category + (38% vs. 28%, p<0.01) and greater alcohol consumption (45% vs. 34%, p<0.02). They are also more likely to expose themselves to the sun (89% vs. 78%, p<0.004) and less likely to use sunscreen protection (58% vs. 44%, p<0.003). A greater proportion of them participates in melanoma screening programmes (21% vs. 14%, p<0.04). The population that underestimates the risk is characterised by lower educational attainment (11% vs. 7%, p<0.05), greater use of high SPF sunscreen (41% vs. 29%, p<0.0004) and a more frequent use of UV sunbeds (9% vs. 6%, p<0.06). Conclusions: Overall, the French have a fair perception of their personal likelihood of developing melanoma. Interestingly, subjects overestimating their intrinsic risk do not behave appropriately with respect to sun protection measures (more sun exposure and less sunscreen protection). On the other hand, subjects underestimating their risk use UV sunbeds more extensively.

scholarly journals Melanoma Incidence Among Non-Hispanic Whites in All 50 US States From 2001 Through 2015

2019 ◽  
Vol 112 (5) ◽  
pp. 533-539 ◽  
Author(s):  
Aaron P Thrift ◽  
Franciska J Gudenkauf
Keyword(s):  
Incidence Rate ◽  
Birth Cohort ◽  
Sun Exposure ◽  
The United States ◽  
Incidence Rates ◽  
Birth Cohorts ◽  
Annual Percent Change ◽  
Incidence Trends ◽  
Percent Change ◽  
Melanoma Incidence

Abstract Background The United States has large regional variation in primary prevention campaigns for skin cancer. We collected data from all 50 states to examine changes in melanoma incidence and performed age-period-cohort analyses to describe the simultaneous effects of age, period, and cohort on incidence rates. Methods Annual melanoma incidence rates for non-Hispanic whites from 2001 to 2015 were extracted from the US Cancer Statistics registry. Secular trends were examined overall and by sex and state. We used joinpoint regression to compute annual percent change and average annual percent change and corresponding 95% confidence intervals (CIs). We also analyzed incidence trends by 5-year age group and birth cohort using incidence rate ratios and age-period-cohort modeling. Results Melanoma incidence increased from 20.7 per 100 000 (95% CI = 20.5 to 20.9) in 2001 to 28.2 per 100 000 (95% CI = 28.0 to 28.5) in 2015, increasing by 3.90% (95% CI = 2.36% to 5.48%) annually between 2001 and 2005 and 1.68% (95% CI = 1.37% to 1.99%) annually from 2005 through 2015. The average annual percent change in melanoma incidence rates were similar for men (2.34%, 95% CI = 1.91 to 2.78) and women (2.25%, 95% CI = 1.60 to 2.91). Age-specific relative risk by birth cohort increased from circa 1921 to 1981 before decreasing. Compared with adults born circa 1956, those born circa 1991 had lower melanoma risk (incidence rate ratio  = 0.85; 95% CI = 0.77 to 0.94). Geographic variation was observed; some states still have melanoma rates trending upwards in all birth cohorts. Conclusions The continued increase in melanoma incidence among non-Hispanic whites, particularly in states where rates continue to rise among recent and current birth cohorts, underscores the need for increased public health campaigns aimed at reducing sun exposure.

scholarly journals The north–south and east–west gradient in colorectal cancer risk: a look at the distribution of modifiable risk factors and incidence across Canada

2018 ◽  
Vol 25 (3) ◽  
pp. 231 ◽  
Author(s):  
J. Tung ◽  
C.E. Politis ◽  
J. Chadder ◽  
J. Han ◽  
J. Niu ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Risk Factors ◽  
Vegetable Consumption ◽  
Current Knowledge ◽  
Incidence Rates ◽  
Lifestyle Changes ◽  
Modifiable Risk Factors ◽  
Excessive Alcohol Consumption ◽  
Positive Effects ◽  
East West

Colorectal cancer (crc) is the 2nd most common cancer in Canada and the 2nd leading cause of cancer death. That heavy burden can be mitigated given the preventability of crc through lifestyle changes and screening. Here, we describe the extent of the variation in crc incidence rates across Canada and the disparities, by jurisdiction, in the prevalence of modifiable risk factors known to contribute to the crc burden.Findings suggest that there is a north–south and east–west gradient in crc modifiable risk factors, including excess weight, physical inactivity, excessive alcohol consumption, and low fruit and vegetable consumption, with the highest prevalence of risk factors typically found in the territories and Atlantic provinces. In general, that pattern reflects the crc incidence rates seen across Canada. Given the substantial interjurisdictional variation, more work is needed to increase prevention efforts, including promoting a healthier diet and lifestyle, especially in jurisdictions facing disproportionately higher burdens of crc.Based on current knowledge, the most effective approaches to reduce the burden of crc include adopting public policies that create healthier environments in which people live, work, learn, and play; making healthy choices easier; and continuing to emphasize screening and early detection. Strategic approaches to modifiable risk factors and mechanisms for early cancer detection have the potential to translate into positive effects for population health and fewer Canadians developing and dying from cancer.

Donor Selection For Haploidentical Hematopoietic Stem Cell Transplantation: Who Is The Better – Donor-Recipient Risk Factor Analysis

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 705-705
Author(s):  
Yu Wang ◽  
Xiao Jun Huang
Keyword(s):  
Risk Factors ◽  
Multivariate Analysis ◽  
Risk Factor ◽  
Stem Cell ◽  
Lower Incidence ◽  
Family Relationship ◽  
Donor Age ◽  
Sibling Donor ◽  
The Difference ◽  
Grade 3

Abstract Background many aspects should be considered when selecting an ideal donor. The progress made in haploidentical HSCT in recent years offers almost unlimited donor and availabilities of more than one donor at many occasions. To date, there have been no studies to answer the question of apart from HLA disparity, whether one donor should be preferred over another among various haploidentical donors available. The goal of the current study was to attempt to answer the question by analyzing the data on haploidentical HSCT without in-vitro T cell depletion modality. Methods Consecutive patients with leukemia or MDS who received HSCT from 3-5 of 6 HLA loci-matched family donors excluding collateral relatives between May 2002 and December 2010 were enrolled in this study (n=749). The stem cell source was G-CSF mobilized BM combined with PB. The conditioning regimen was modified BUCY plus ATG with 10mg/kg in total dosage. Patients receiving prophylactic DLI for prevention of leukemia relapse were excluded. Donor-recipient risk factors relevant to selection of optimal donor for haploidentical HCT were analyzed. Results (1)donor sex: male donor had lower incidence of both grade 2-4 (39% vs. 46%, p=.07) and grade 3-4 acute GVHD (aGVHD) (11% vs. 17%, p=.04), lower rate of NRM (16% vs. 24%, p=.006) and higher probabilities of OS (70% vs. 62%, p=.02) and LFS (67% vs. 60%, p=.03), compared with female donor. In multivariate analysis, donor sex was still a risk factor for GVHD, NRM and survival. However, if mother donor was excluded, all the difference became no longer significant. (2) Donor age: donor younger than 30 years old had lower incidence of both grade 2-4 (25% vs. 48%, p<.0001) and grade 3-4 aGVHD (5% vs. 16%, p=.0005), lower rate of NRM (12% vs. 22%, p=.007) and higher probabilities of OS (78% vs. 64%, p=.001) and LFS (76% vs. 64%, p=.002), compared with donor older than 30 years old. In multivariate analysis, donor age was a more prominent risk factor for GVHD, NRM and survival compared with donor sex. And if mother donor was excluded, all the difference remained significant both in univariate and multivariate analysis. (3)The rate of GVHD was not associated with the extent of HLA disparity or any individual allele disparity. (4) comparison between mother and father: father donor had lower incidence of both grade 2-4 (45% vs. 56%, p=.03) and grade 3-4 aGVHD (13% vs. 22%, p=.007), lower rate of NRM (14% vs. 26%, p=.003) and higher probabilities of OS (70% vs. 57%, p=.007) and LFS (67% vs. 57%, p=.03), compared with mother donor. In multivariate analysis, mother donor was still a risk factor for GVHD, NRM and survival. (5) comparison between offspring and sibling: offspring donor had significant lower incidence of grade 2-4 aGVHD (16% vs. 37%, p=.002), lower NRM and higher survival, although not reaching statistical significance, compared with sibling donor. In multivariate analysis, sibling donor was still a risk factor for GVHD. (6) comparison among sibling and father donors: donor older than 30 years old was the most important risk factor affecting GVHD, NRM and survival while the rates between father and sibling donor were comparable. Conclusions Not abiding by the rule of HLA disparity, this study was the first one to confirm that significant different outcomes were achieved among various haploidentical donors and proved once again that haploidentical HSCT overcame HLA barriers. Instead of HLA disparity, donor age and the family relationship were important risk factors under our treatment modality. The underlying mechanisms of crossing human leukocyte antigen barriers need further investigation and to be validated by other treatment modalities. Figure impact of donor age and family relationship on GVHD This work was partly supported by The Key Program of National Natural Science Foundation of China (Grant No. 81230013), Beijing Municipal Science & Technology Commission (No.Z121107002812033) and Beijing Municipal Science & Technology Commission(No. Z121107002612035). Disclosures: No relevant conflicts of interest to declare.

scholarly journals Esophageal Adenocarcinoma: Opportunities for Targeted Prevention in Ohio

2018 ◽  
Vol 11 ◽  
pp. 117955221879117 ◽  
Author(s):  
Julie A Stephens ◽  
James L Fisher ◽  
Jessica L Krok-Schoen ◽  
Ryan D Baltic ◽  
Holly L Sobotka ◽  
...  
Keyword(s):  
United States ◽  
Risk Factors ◽  
Risk Factor ◽  
Cigarette Smoking ◽  
Esophageal Adenocarcinoma ◽  
Surveillance System ◽  
The United States ◽  
Incidence Rates ◽  
Targeted Prevention ◽  
Care Providers

Objective: The incidence of esophageal adenocarcinoma, one of the most lethal gastroenterological diseases, has been increasing since the 1960s. Prevention of esophageal adenocarcinoma is important because no early detection screening programs have been shown to reduce mortality. Obesity, gastroesophageal reflux disease, and tobacco smoking are risk factors for esophageal adenocarcinoma. Due to the high prevalence in Ohio of obesity (32.6%) and cigarette smoking (21.0%), this study sought to identify trends and patterns of these risk factors and esophageal adenocarcinoma in Ohio as compared with the United States. Methods: Data from the Ohio Cancer Incidence Surveillance System, Surveillance Epidemiology and End Results Program (SEER), and Behavioral Risk Factor Surveillance System were used. Incidence rates overall, by demographics and by county, as well as trends in incidence of esophageal adenocarcinoma and the percent of esophageal adenocarcinoma among esophageal cancers were examined. Trends in obesity and cigarette smoking in Ohio, and the prevalence of each by county, were reported. Results: There was an increasing trend in esophageal adenocarcinoma incidence in Ohio. Ohio’s average annual esophageal adenocarcinoma incidence rate was higher than the SEER rate overall and for each sex, race, and age group in 2009 to 2013. There was also an increasing prevalence of obesity in Ohio. Although the prevalence of cigarette smoking has been stable, it was high in Ohio compared with the United States. Conclusions: Health care providers and researchers should be aware of the esophageal adenocarcinoma incidence rates and risk factor patterns and tailor interventions for areas and populations at higher risk.

Risk Model Predictive of Severe Anemia Requiring RBC Transfusion After Chemotherapy in Pediatric Solid Tumor Patients

2003 ◽  
Vol 21 (22) ◽  
pp. 4235-4238 ◽  
Author(s):  
Perrine Marec-Berard ◽  
Jean Yves Blay ◽  
Matthias Schell ◽  
Murielle Buclon ◽  
Corrine Demaret ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Lymphocyte Count ◽  
Risk Model ◽  
Pediatric Population ◽  
Performance Status ◽  
Univariate Analysis ◽  
Absolute Lymphocyte Count ◽  
The Difference ◽  
Rbc Transfusion

Purpose: Severe anemias requiring RBC transfusions is a frequent complication of chemotherapy. A model elaborated by Ray-Coquard et al in adults pointed to three independent risk factors for RBC transfusion: performance status (PS) more than 1, hemoglobin less than 12 g/dL, and prechemotherapy absolute lymphocyte count (ALC) ≤ 700/μL. This model is tested on a pediatric population.Patients and Methods: One hundred nineteen children with solid tumors consecutively admitted for conventional chemotherapy throughout 1 year were included. The study end point was the RBC-transfusion risk in the month following chemotherapy. Only one course was considered for each patient. Age, sex, number of courses, platinum-containing regimens, PS, and hemoglobin and lymphocyte count at day 1 were tested in univariate and multivariate analyses.Results: Thirty-one (26%) of 119 children required RBC transfusion within 31 days of chemotherapy. Three factors correlated to transfusion risk in the univariate analysis: PS more than 1 (P < .001), hemoglobin less than 12 g/dL (P = .007), and pretreatment ALC ≤ 700/μL (P < .001). In the multivariate analysis, hemoglobin less than 12 g/dL, PS more than 1, and ALC ≤ 700/μL were identified as independent factors predicting RBC transfusion. The calculated probability of receiving RBC transfusion within 31 days of chemotherapy was high with three risk factors (96%), intermediate with two risk factors (53% to 77%), low with one risk factor (10% to 26%), and very low when no risk factor was present (2%). The difference of transfusion needs was significant (P < .001).Conclusion: The risk model elaborated for adults may also segregate children at high risk of postchemotherapy RBC transfusion, thus facilitating assessment of risk of transfusion and/or prophylactic erythropoietin support.

scholarly journals The impact of risk factor trends on intracerebral hemorrhage incidence over the last two decades—The Tromsø Study

2018 ◽  
Vol 14 (1) ◽  
pp. 61-68 ◽  
Author(s):  
Maria Carlsson ◽  
Tom Wilsgaard ◽  
Stein Harald Johnsen ◽  
Liv-Hege Johnsen ◽  
Maja-Lisa Løchen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Intracerebral Hemorrhage ◽  
Proportional Hazards ◽  
Temporal Trends ◽  
Population Based ◽  
Incidence Rates ◽  
Cox Proportional Hazards ◽  
Intracerebral Hemorrhages ◽  
The Impact

Background Studies on the relationship between temporal trends in risk factors and incidence rates of intracerebral hemorrhage are scarce. Aims To analyze temporal trends in risk factors and incidence rates of intracerebral hemorrhage using individual data from a population-based study. Methods We included 28,167 participants of the Tromsø Study enrolled between 1994 and 2008. First-ever intracerebral hemorrhages were registered through 31 December 2013. Hazard ratios (HRs) for intracerebral hemorrhage were analyzed by Cox proportional hazards models, risk factor levels over time by generalized estimating equations, and incidence rate ratios (IRR) by Poisson regression. Results We registered 219 intracerebral hemorrhages. Age, male sex, systolic blood pressure (BP), diastolic BP, and hypertension were associated with intracerebral hemorrhage. Hypertension was more strongly associated with non-lobar intracerebral hemorrhage (HR 5.08, 95% CI 2.86–9.01) than lobar intracerebral hemorrhage (HR 1.91, 95% CI 1.12–3.25). In women, incidence decreased significantly (IRR 0.46, 95% CI 0.23–0.90), driven by a decrease in non-lobar intracerebral hemorrhage. Incidence rates in men remained stable (IRR 1.27, 95% CI 0.69–2.31). BP levels were lower and decreased more steeply in women than in men. The majority with hypertension were untreated, and a high proportion of those treated did not reach treatment goals. Conclusions We observed a significant decrease in intracerebral hemorrhage incidence in women, but not in men. A steeper BP decrease in women may have contributed to the diverging trends. The high proportion of untreated and sub-optimally treated hypertension calls for improved strategies for prevention of intracerebral hemorrhage.

The Clinical Spectrum of Acute GVHD: Beyond Day 100.

Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 5377-5377
Author(s):  
Daniel R. Couriel ◽  
Rima Saliba ◽  
Shubhra Gosh ◽  
Marcos De Lima ◽  
Sergio Giralt ◽  
...  
Keyword(s):  
Risk Factors ◽  
Acute Gvhd ◽  
Current Knowledge ◽  
Chronic Gvhd ◽  
Clinical Manifestations ◽  
Disease Status ◽  
Response To Therapy ◽  
Preparative Regimen ◽  
Prognostic Implications ◽  
The Difference

Abstract Objective: To assess the clinical and prognostic implications of the timing of acute GVHD (aGVHD). Introduction: Traditionally, the syndrome of acute GVHD has been chronologically defined as GVHD occurring before day 100. It has become increasingly clear that this syndrome can occur after day 100, which raises the question of historical misclassification of aGVHD occurring after day 100 (“late aGVHD”) as chronic GVHD. On the other hand, timing of GVHD could have prognostic implications and the case in hyperacute forms of GVHD are an example. In this study, we redifine aGVHD based on clinical manifestations and we evaluate risk factors as well as clinical and prognostic differences between late aGVHD and GVHD before day 100 (“classic aGVHD”). Methods: Retrospective evaluation of records and database on all matched sibling transplants (n= 128) performed at UT MDACC from 1/00 to 2/02. Results: A total of 47 patients (37%) had “classic” aGVHD and another 67 (52%) were classified as chronic GVHD (cGVHD) in our database. Upon review of medical records, 30/67 patients (45%) were found to have late aGVHD, and the remainder true cGVHD. Of these 30 patients, 9 had aGVHD progressing through day 100 and were reclassified as classic aGVHD. The remainder 21 had newly diagnosed late aGVHD. We evaluated risk factors for developing late aGVHD in patients who were alive at day 100. Only a later engraftment (ANC&gt;500 beyond day 12) was associated with a higher incidence of late aGVHD, while age, gender, malignancy, disease status at transplant, type of preparative regimen (nonmyeloablative versus others), bone marrow vs peripheral blood or CD3,4 or 8 infused did not impact the incidence of late acute GVHD. Compared to classic aGVHD, the late group had a significantly higher proportion of grade 2–4 GVHD (85 vs 61%, p= 0.03) with similar grade 3–4 aGVHD (29 vs 27%, p= 0.5). Skin and GI involvement, as well as isolated elevation of the alkaline phosphatase were more common manifestations of late aGVHD. There was a trend to better response (CR/PR) to first line immunosuppression in patients with late aGVHD (81 vs 63%, p= 0.13), but this was not statistically significant. The overall survival (OS) and non-relapse mortality (NRM) since the diagnosis of GVHD were substantially better in patients with late aGVHD (OS 70 vs 29%, p= 0.01; NRM 16 vs 39%, p= 0.06). Finally, the NRM of patients with chronic GVHD prior to reclassifying patients with late aGVHD (n= 67) was 28% at 2 years. When patients with late aGVHD were excluded, the NRM at 2 years for the remainder 37 patients with chronic GVHD was 20% (p= 0.3). Conclusions: 1- The current chronological definition of acute GVHD may lead to misclassification of late aGVHD as chronic GVHD. This could have implications in interpreting the current knowledge and literature on GVHD, 2- There was a trend to higher NRM in the chronic GVHD group prior to reclassifying cases of late aGVHD, althought the difference was not statistically significant, 3-Patients with late aGVHD share similarities with those with classic aGVHD, although there seems to be a trend to better response to therapy and better survival in patients developing aGVHD beyond day 100. Thus, timing of aGVHD may affect its outcome.

scholarly journals Melanoma risk prediction models

2014 ◽  
Vol 71 (8) ◽  
pp. 757-766
Author(s):  
Jelena Nikolic ◽  
Tatjana Loncar-Turukalo ◽  
Srdjan Sladojevic ◽  
Marija Marinkovic ◽  
Zlata Janjic
Keyword(s):  
Risk Factors ◽  
At Risk ◽  
High Risk ◽  
Prediction Models ◽  
Significant Risk ◽  
Prognostic Models ◽  
Hair Color ◽  
Melanoma Risk ◽  
Data Mining Algorithms ◽  
Red Hair

Background/Aim. The lack of effective therapy for advanced stages of melanoma emphasizes the importance of preventive measures and screenings of population at risk. Identifying individuals at high risk should allow targeted screenings and follow-up involving those who would benefit most. The aim of this study was to identify most significant factors for melanoma prediction in our population and to create prognostic models for identification and differentiation of individuals at risk. Methods. This case-control study included 697 participants (341 patients and 356 controls) that underwent extensive interview and skin examination in order to check risk factors for melanoma. Pairwise univariate statistical comparison was used for the coarse selection of the most significant risk factors. These factors were fed into logistic regression (LR) and alternating decision trees (ADT) prognostic models that were assessed for their usefulness in identification of patients at risk to develop melanoma. Validation of the LR model was done by Hosmer and Lemeshow test, whereas the ADT was validated by 10-fold cross-validation. The achieved sensitivity, specificity, accuracy and AUC for both models were calculated. The melanoma risk score (MRS) based on the outcome of the LR model was presented. Results. The LR model showed that the following risk factors were associated with melanoma: sunbeds (OR = 4.018; 95% CI 1.724- 9.366 for those that sometimes used sunbeds), solar damage of the skin (OR = 8.274; 95% CI 2.661-25.730 for those with severe solar damage), hair color (OR = 3.222; 95% CI 1.984-5.231 for light brown/blond hair), the number of common naevi (over 100 naevi had OR = 3.57; 95% CI 1.427-8.931), the number of dysplastic naevi (from 1 to 10 dysplastic naevi OR was 2.672; 95% CI 1.572-4.540; for more than 10 naevi OR was 6.487; 95%; CI 1.993-21.119), Fitzpatricks phototype and the presence of congenital naevi. Red hair, phototype I and large congenital naevi were only present in melanoma patients and thus were strongly associated with melanoma. The percentage of correctly classified subjects in the LR model was 74.9%, sensitivity 71%, specificity 78.7% and AUC 0.805. For the ADT percentage of correctly classified instances was 71.9%, sensitivity 71.9%, specificity 79.4% and AUC 0.808. Conclusion. Application of different models for risk assessment and prediction of melanoma should provide efficient and standardized tool in the hands of clinicians. The presented models offer effective discrimination of individuals at high risk, transparent decision making and real-time implementation suitable for clinical practice. A continuous melanoma database growth would provide for further adjustments and enhancements in model accuracy as well as offering a possibility for successful application of more advanced data mining algorithms.

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