scholarly journals SORG Algorithm to Predict 3- and 12-month Survival in Metastatic Spinal Disease: A Cross-Sectional Population-Based Retrospective Study.

2021 ◽  
Author(s):  
Gregory Zegarek ◽  
Enrico Tessitore ◽  
Etienne Chaboudez ◽  
Aria Nouri ◽  
Karl Schaller ◽  
...  
Keyword(s):  
Metastatic Disease ◽  
Roc Analysis ◽  
Predictive Ability ◽  
Population Based ◽  
Spinal Disease ◽  
University Hospitals ◽  
Discriminative Ability ◽  
Cross Sectional ◽  
Survival Estimation ◽  
Independent Cohort

Abstract In this study, we recruited 40 patients with spinal metastatic disease who were operated at Geneva University Hospitals by the Neurosurgery or Orthopedic teams between the years of 2015 and 2020. We did an ROC analysis in order to determine the accuracy of the SORG ML algorithm and nomogram versus the Tokuhashi Original and Revised Scores. The analysis of data of our independent cohort shows a clear advantage in terms of predictive ability of the SORG ML algorithm and nomogram in comparison with the Tokuhashi scores. The SORG ML had an AUC of 0.87 for 90-days and 0.85 for 1-year. The SORG Nomogram showed a predictive ability at 90-days and 1-year with AUC’s of 0.87 and 0.76 respectively. These results showed excellent discriminative ability as compared with the Tokuhashi Original Score which achieved AUC’s of 0.70 and 0.69 and the Tokuhashi Revised Score which had AUC’s of 0.65 and 0.71 for 3-month and 1-year respectively. The predictive ability of the SORG ML algorithm and nomogram were superior to currently used preoperative survival estimation scores for spinal metastatic disease.

scholarly journals Sorg algorithm to predict 3- and 12-month survival in metastatic spinal disease: A cross-sectional population-based retrospective study

2021 ◽  
Vol 1 ◽  
pp. 100122
Author(s):  
Gregory Zegarek ◽  
Enrico Tessitore ◽  
Aria Nouri ◽  
Karl Schaller ◽  
Renato Gondar
Keyword(s):  
Retrospective Study ◽  
Population Based ◽  
Spinal Disease ◽  
Cross Sectional

scholarly journals The ability of clinical balance measures to identify falls risk in multiple sclerosis: a systematic review and meta-analysis

2017 ◽  
Vol 32 (5) ◽  
pp. 571-582 ◽  
Author(s):  
Gillian Quinn ◽  
Laura Comber ◽  
Rose Galvin ◽  
Susan Coote
Keyword(s):  
Multiple Sclerosis ◽  
Quality Assessment ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
Predictive Ability ◽  
Timed Up And Go ◽  
Discriminative Ability ◽  
Cross Sectional ◽  
Falls Risk ◽  
Clinical Measures

Objective: To determine the ability of clinical measures of balance to distinguish fallers from non-fallers and to determine their predictive validity in identifying those at risk of falls. Data sources: AMED, CINAHL, Medline, Scopus, PubMed Central and Google Scholar. First search: July 2015. Final search: October 2017. Review methods: Inclusion criteria were studies of adults with a definite multiple sclerosis diagnosis, a clinical balance assessment and method of falls recording. Data were extracted independently by two reviewers. Study quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 scale and the modified Newcastle–Ottawa Quality Assessment Scale. Statistical analysis was conducted for the cross-sectional studies using Review Manager 5. The mean difference with 95% confidence interval in balance outcomes between fallers and non-fallers was used as the mode of analysis. Results: We included 33 studies (19 cross-sectional, 5 randomised controlled trials, 9 prospective) with a total of 3901 participants, of which 1917 (49%) were classified as fallers. The balance measures most commonly reported were the Berg Balance Scale, Timed Up and Go and Falls Efficacy Scale International. Meta-analysis demonstrated fallers perform significantly worse than non-fallers on all measures analysed except the Timed Up and Go Cognitive ( p < 0.05), but discriminative ability of the measures is commonly not reported. Of those reported, the Activities-specific Balance Confidence Scale had the highest area under the receiver operating characteristic curve value (0.92), but without reporting corresponding measures of clinical utility. Conclusion: Clinical measures of balance differ significantly between fallers and non-fallers but have poor predictive ability for falls risk in people with multiple sclerosis.

scholarly journals A drug comorbidity index to predict mortality in men with castration resistant prostate cancer

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0255239
Author(s):  
Giuseppe Fallara ◽  
Rolf Gedeborg ◽  
Anna Bill-Axelson ◽  
Hans Garmo ◽  
Pär Stattin
Keyword(s):  
Prostate Cancer ◽  
Charlson Comorbidity Index ◽  
Predictive Ability ◽  
Population Based ◽  
Castration Resistant Prostate Cancer ◽  
Discriminative Ability ◽  
Castration Resistant ◽  
Kaplan Meier ◽  
Aggressive Cancer ◽  
Comorbidity Index

Background The Charlson Comorbidity Index is a poor predictor of mortality in men with castration resistant prostate cancer (CRPC). To improve this prediction, we created a comorbidity index based on filled prescriptions intended to be used in registry-based studies. Materials and methods In a population-based cohort of men with CPRC a drug comorbidity index (DCI-CRPC) was calculated based on prescriptions filled during a 365-day period before the date of CRPC diagnosis to predict mortality. Five risk categories for men with CRPC were defined based on PSA kinetics. Mortality rates were described by Kaplan-Meier curves. The predictive ability of the DCI-CRPC was compared in univariable models to that of the original DCI, derived from men in the general population, and to that of the Charlson Comorbidity Index. Results In 1,885 men with CRPC the median overall survival ranged from 3.0 years (95% confidence interval [CI] 2.8 to 3.4) in the first tertile of the DCI-CRPC, to 1.0 year (95% CI 0.9 to 1.1) in the third tertile of the DCI-CRPC. The index had higher discriminative ability (C-index 0.667) than the Charlson Comorbidity Index (C-index 0.508). The discriminative ability of the DCI-CRPC was highest in the subgroup with least aggressive cancer (C-index 0.651) and lowest in men with most aggressive cancer (C-index 0.618). The performance of the DCI-CRPC was comparable to that of the original DCI. Conclusion Our newly created comorbidity index using filled prescriptions predicted death in men with CRPC better than the Charlson Comorbidity Index.

How much gambling is too much? Identifying potential problem gambling among adolescents

2016 ◽  
Vol 29 (3) ◽  
Author(s):  
Tiina A. Räsänen ◽  
Tomi P. Lintonen ◽  
Susanna U. Raisamo ◽  
Anne I. Konu
Keyword(s):  
Problem Gambling ◽  
Roc Analysis ◽  
Potential Problem ◽  
Population Based ◽  
Gambling Behaviour ◽  
Problem Gambler ◽  
South Oaks Gambling Screen ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Representative Random Sample

Abstract Aims: Using a population-based sample of Finnish 12–17 year olds, this study explored gambling behaviour limits for potential problem gambling [South Oaks Gambling Screen – revised for adolescents (SOGS-RA)]. Methods: Data were obtained from the Youth Gambling Survey 2006, which is a cross-sectional survey of a nationally representative random sample of 5000 adolescents. Adolescents who participated in gambling at least once a month were selected from the data (n=1827, 25.1% were girls). The limits for gambling behaviour were detected using receiver operating characteristic (ROC) analysis. Logistic regression was used to study associations between these behavioural limits and potential problem gambling. Results: For each of the gambling behaviour indicators plotted, the risk curves showed similar trends among boys and girls. The risk of being a potential problem gambler increased noticeably with increasing gambling intensity. The ROC analysis showed that the optimal behavioural cut-off values among 12–14 year olds for frequency was gambling more than 2–3 times a month, spending more than €2 per week on gambling, spending more than €8 in any 1 day on gambling, and gambling on more than two different games per year. For 15–17 year olds, cut-off values were gambling more than once a week, spending more than €4 per week and spending more than €12 in any 1 day on gambling. Cut-off for number of game types was same as it was for younger adolescents. Of the behavioural indicators those associated with money were the most robust. Conclusion: Behavioural indicators can be used as initial markers of possible problem gambling.

Minerals Intake Distributions in a Large Sample of Iranian at-Risk Population Using the National Cancer Institute Method: Do They Meet Their Requirements?

2015 ◽  
Vol 85 (3-4) ◽  
pp. 129-144 ◽  
Author(s):  
Zahra Heidari ◽  
Awat Feizi ◽  
Leila Azadbakht ◽  
Nizal Sarrafzadegan
Keyword(s):  
At Risk ◽  
National Cancer Institute ◽  
Population Based ◽  
Cross Sectional Study ◽  
Normal Function ◽  
Dietary Intakes ◽  
Middle Aged ◽  
Cross Sectional ◽  
Nutritional Interventions ◽  
High Prevalence

Abstract. Background: Minerals are required for the body’s normal function. Aim: The current study assessed the intake distribution of minerals and estimated the prevalence of inadequacy and excess among a representative sample of healthy middle aged and elderly Iranian people. Methods: In this cross-sectional study, the second follow up to the Isfahan Cohort Study (ICS), 1922 generally healthy people aged 40 and older were investigated. Dietary intakes were collected using 24 hour recalls and two or more consecutive food records. Distribution of minerals intake was estimated using traditional (averaging dietary intake days) and National Cancer Institute (NCI) methods, and the results obtained from the two methods, were compared. The prevalence of minerals intake inadequacy or excess was estimated using the estimated average requirement (EAR) cut-point method, the probability approach and the tolerable upper intake levels (UL). Results: There were remarkable differences between values obtained using traditional and NCI methods, particularly in the lower and upper percentiles of the estimated intake distributions. A high prevalence of inadequacy of magnesium (50 - 100 %), calcium (21 - 93 %) and zinc (30 - 55 % for males > 50 years) was observed. Significant gender differences were found regarding inadequate intakes of calcium (21 - 76 % for males vs. 45 - 93 % for females), magnesium (92 % vs. 100 %), iron (0 vs. 15 % for age group 40 - 50 years) and zinc (29 - 55 % vs. 0 %) (all; p < 0.05). Conclusion: Severely imbalanced intakes of magnesium, calcium and zinc were observed among the middle-aged and elderly Iranian population. Nutritional interventions and population-based education to improve healthy diets among the studied population at risk are needed.

The German Version of the Satisfaction With Life Scale (SWLS)

2011 ◽  
Vol 27 (2) ◽  
pp. 127-132 ◽  
Author(s):  
Heide Glaesmer ◽  
Gesine Grande ◽  
Elmar Braehler ◽  
Marcus Roth
Keyword(s):  
Convergent Validity ◽  
Satisfaction With Life ◽  
Age Groups ◽  
Population Based ◽  
Factorial Invariance ◽  
Satisfaction With Life Scale ◽  
Small Samples ◽  
Cross Sectional ◽  
Confirmatory Factor Analyses ◽  
Life Scale

The Satisfaction with Life Scale (SWLS) is the most commonly used measure for life satisfaction. Although there are numerous studies confirming factorial validity, most studies on dimensionality are based on small samples. A controversial debate continues on the factorial invariance across different subgroups. The present study aimed to test psychometric properties, factorial structure, factorial invariance across age and gender, and to deliver population-based norms for the German general population from a large cross-sectional sample of 2519 subjects. Confirmatory factor analyses supported that the scale is one-factorial, even though indications of inhomogeneity of the scale have been detected. Both findings show invariance across the seven age groups and both genders. As indicators of the convergent validity, a positive correlation with social support and negative correlation with depressiveness was shown. Population-based norms are provided to support the application in the context of individual diagnostics.

Association between reproductive factors and postmenopausal osteoporosis

2011 ◽  
Vol 20 (03) ◽  
pp. 248-251
Author(s):  
H. R. Meybodi ◽  
N. Khalili ◽  
P. Khashayar ◽  
R. Heshmat ◽  
A. Hossein-nezhad ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Bone Mineral ◽  
Reproductive Factors ◽  
Population Based ◽  
Age At Menarche ◽  
Mineral Density ◽  
Cross Sectional ◽  
Number Of Children ◽  
Menstrual History ◽  
Duration Of Breastfeeding

SummaryThe present cross-sectional research was designed to study possible correlations between clinical reproductive factors and bone mineral density (BMD) values.Using the data gathered by the population-based Iranian Multicenter Osteoporosis Study (IMOS), we investigated the correlation found between reproductive factors and osteoporosis. Subjects were recruited from five major cities of Iran. Bone mineral density was measured using Dual-Energy X-ray Absorptiometry and the results were analyzed against the age at menarche and at menopause, number of pregnancies, children and abortions, and the history (and duration) of breastfeeding.Data was available for 2528 women. Gravidity and number of children were reversely correlated with BMD. Younger age at menarche was associated with higher BMD values, whereas there was no significant correlation between age at menopause and menstrual history and BMD.Our study suggests that clinical reproductive factors, particularly number of children and breastfeeding, could be incorporated as predictors of BMD levels in women. Given the controversial results obtained in different studies, longitudinal studies should be carried out to enlighten the importance of these factors and the rationale of their use to predict BMD values in different settings.

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