Prognostic and predictive value of centrally reviewed Ki-67 labeling index in postmenopausal women with endocrine-responsive breast cancer: results from Breast International Group Trial 1-98 comparing adjuvant tamoxifen with letrozole.

PURPOSE: To evaluate the prognostic and predictive value of Ki-67 labeling index (LI) in a trial comparing letrozole (Let) with tamoxifen (Tam) as adjuvant therapy in postmenopausal women with early breast cancer. PATIENTS AND METHODS: Breast International Group (BIG) trial 1-98 randomly assigned 8,010 patients to four treatment arms comparing Let and Tam with sequences of each agent. Of 4,922 patients randomly assigned to receive 5 years of monotherapy with either agent, 2,685 had primary tumor material available for central pathology assessment of Ki-67 LI by immunohistochemistry and had tumors confirmed to express estrogen receptors after central review. The prognostic and predictive value of centrally measured Ki-67 LI on disease-free survival (DFS) were assessed among these patients using proportional hazards modeling, with Ki-67 LI values dichotomized at the median value of 11%. RESULTS: Higher values of Ki-67 LI were associated with adverse prognostic factors and with worse DFS (hazard ratio [HR; high:low] = 1.8; 95% CI, 1.4 to 2.3). The magnitude of the treatment benefit for Let versus Tam was greater among patients with high tumor Ki-67 LI (HR [Let:Tam] = 0.53; 95% CI, 0.39 to 0.72) than among patients with low tumor Ki-67 LI (HR [Let:Tam] = 0.81; 95% CI, 0.57 to 1.15; interaction P = .09). CONCLUSION: Ki-67 LI is confirmed as a prognostic factor in this study. High Ki-67 LI levels may identify a patient group that particularly benefits from initial Let adjuvant therapy.

Bayesian Networks and the Value of the Evidence for the Forensic Two-Trace Transfer Problem

Forensic scientists face increasingly complex inference problems for evaluating likelihood ratios (LRs) for an appropriate pair of propositions. Up to now, scientists and statisticians have derived LR formulae using an algebraic approach. However, this approach reaches its limits when addressing cases with an increasing number of variables and dependence relationships between these variables. In this study, we suggest using a graphical approach, based on the construction of Bayesian networks (BNs). We first construct a BN that captures the problem, and then deduce the expression for calculating the LR from this model to compare it with existing LR formulae. We illustrate this idea by applying it to the evaluation of an activity level LR in the context of the two-trace transfer problem. Our approach allows us to relax assumptions made in previous LR developments, produce a new LR formula for the two-trace transfer problem and generalize this scenario to n traces.

Modeling and mitigation of supply-demand mismatches

In this thesis, I develop analytical models to price the value of supply chain investments under demand uncer¬tainty. This thesis includes three self-contained papers. In the first paper, we investigate the value of lead-time reduction under the risk of sudden and abnormal changes in demand forecasts. We first consider the risk of a complete and permanent loss of demand. We then provide a more general jump-diffusion model, where we add a compound Poisson process to a constant-volatility demand process to explore the impact of sudden changes in demand forecasts on the value of lead-time reduction. We use an Edgeworth series expansion to divide the lead-time cost into that arising from constant instantaneous volatility, and that arising from the risk of jumps. We show that the value of lead-time reduction increases substantially in the intensity and/or the magnitude of jumps. In the second paper, we analyze the value of quantity flexibility in the presence of supply-chain dis- intermediation problems. We use the multiplicative martingale model and the "contracts as reference points" theory to capture both positive and negative effects of quantity flexibility for the downstream level in a supply chain. We show that lead-time reduction reduces both supply-chain disintermediation problems and supply- demand mismatches. We furthermore analyze the impact of the supplier's cost structure on the profitability of quantity-flexibility contracts. When the supplier's initial investment cost is relatively low, supply-chain disin¬termediation risk becomes less important, and hence the contract becomes more profitable for the retailer. We also find that the supply-chain efficiency increases substantially with the supplier's ability to disintermediate the chain when the initial investment cost is relatively high. In the third paper, we investigate the value of dual sourcing for the products with heavy-tailed demand distributions. We apply extreme-value theory and analyze the effects of tail heaviness of demand distribution on the optimal dual-sourcing strategy. We find that the effects of tail heaviness depend on the characteristics of demand and profit parameters. When both the profit margin of the product and the cost differential between the suppliers are relatively high, it is optimal to buffer the mismatch risk by increasing both the inventory level and the responsive capacity as demand uncertainty increases. In that case, however, both the optimal inventory level and the optimal responsive capacity decrease as the tail of demand becomes heavier. When the profit margin of the product is relatively high, and the cost differential between the suppliers is relatively low, it is optimal to buffer the mismatch risk by increasing the responsive capacity and reducing the inventory level as the demand uncertainty increases. In that case, how¬ever, it is optimal to buffer with more inventory and less capacity as the tail of demand becomes heavier. We also show that the optimal responsive capacity is higher for the products with heavier tails when the fill rate is extremely high.

Value and Prices in Russian Economic Thought: A journey inside the Russian Synthesis, 1890-1920

This book explores Russian synthesis that occurred in Russian economic thought between 1890 and 1920. This includes all the attempts at synthesis between classical political economy and marginalism; the labour theory of value and marginal utility; and value and prices. The various ways in which Russian economists have approached these issues have generally been addressed in a piecemeal fashion in history of economic thought literature. This book returns to the primary sources in the Russian language, translating many into English for the first time, and offers the first comprehensive history of the Russian synthesis. The book first examines the origins of the Russian synthesis by determining the condition of reception in Russia of the various theories of value involved: the classical theories of value of Ricardo and Marx on one side; the marginalist theories of prices of Menger, Walras and Jevons on the other. It then reconstructs the three generations of the Russian synthesis: the first (Tugan-Baranovsky), the second, the mathematicians (Dmitriev, Bortkiewicz, Shaposhnikov, Slutsky, etc.) and the last (Yurovsky), with an emphasis on Tugan-Baranovsky's initial impetus. This volume is suitable for those studying economic theory and philosophy as well as those interested in the history of economic thought.

Le stress chez l'aidant naturel dont le proche est en traitement initial d'un cancer du poumon

Le cancer du poumon fait partie des cancers les plus fréquents. Diagnostiqué à un stade souvent tardif, il se caractérise par un mauvais pronostic et de lourdes répercussions sur la santé du patient. La phase de traitement initial représente un moment critique où les proches du patient deviennent aidants naturels du patient et endossent de nouvelles responsabilités. Cette situation génère des conséquences en termes de stress chez l'aidant naturel. Le but de cette étude était de décrire l'importance du stress chez l'aidant naturel du patient en traitement initial pour un cancer du poumon. L'approche méthodologique utilisée est de type descriptif transversal. L'échantillon de convenance était composé de 28 aidants naturels et 26 patients en traitement initial pour un cancer du poumon suivis dans un centre d'oncologie ambulatoire universitaire en Suisse. L'importance du stress des aidants naturels a été évaluée à partir de l'instrument Caregiver Reaction Assessment (CRA) de Given et al. (1992) complété d'une question mesurant la perception du manque d'information. Le CRA mesure le ressenti de l'aidant naturel face aux dimensions négatives et positive du stress sur une échelle de type Likert à cinq points. Le modèle des systèmes de Neuman (2002) a servi de cadre théorique à l'étude. Les aidants naturels ont accordé une importance plus élevée (score moyen 4,15) à l'Estime de soi, dimension positive du stress qu'aux dimensions négatives. Parmi celles-ci, la Perturbation des activités représente la dimension qui affecte le plus le quotidien des aidants (score moyen 2,96). Les caractéristiques sociodémographiques de l'aidant et les données médicales du patient, semblent avoir une influence sur l'importance du stress perçu, mais d'autres marqueurs objectifs doivent être identifiés pour affiner l'interprétation de ces relations. Une grande majorité (78%) des aidants ont indiqué qu'ils disposaient d'assez d'information pour soigner, indiquant que l'information est un sujet important dans leur vécu et mérite une évaluation plus poussée en tant que dimension du stress associé au rôle d'aidant naturel. L'infirmière doit viser par ses actions à préserver l'intégrité et la stabilité de la santé de l'aidant naturel comme elle le fait pour les patients. L'investigation systématique du stress représente une intervention prioritaire chez les aidants naturels dans le contexte oncologique. Des interventions personnalisées pourront être ainsi développées, afin de soutenir l'aidant naturel dans ses activités d'aide auprès de son proche tout en préservant sa propre santé.

Prognostic value of PCSK9 levels in patients with acute coronary syndromes.

AIMS: Proprotein convertase subtilisin kexin 9 (PCSK9) is an emerging target for the treatment of hypercholesterolaemia, but the clinical utility of PCSK9 levels to guide treatment is unknown. We aimed to prospectively assess the prognostic value of plasma PCSK9 levels in patients with acute coronary syndromes (ACS). METHODS AND RESULTS: Plasma PCSK9 levels were measured in 2030 ACS patients undergoing coronary angiography in a Swiss prospective cohort. At 1 year, the association between PCSK9 tertiles and all-cause death was assessed adjusting for the Global Registry of Acute Coronary Events (GRACE) variables, as well as the achievement of LDL cholesterol targets of <1.8 mmol/L. Patients with higher PCSK9 levels at angiography were more likely to have clinical familial hypercholesterolaemia (rate ratio, RR 1.21, 95% confidence interval, CI 1.09-1.53), be treated with lipid-lowering therapy (RR 1.46, 95% CI 1.30-1.63), present with longer time interval of chest pain (RR 1.29, 95% CI 1.09-1.53) and higher C-reactive protein levels (RR 1.22, 95% CI 1.16-1.30). PCSK9 increased 12-24 h after ACS (374 ± 149 vs. 323 ± 134 ng/mL, P < 0.001). At 1 year follow-up, HRs for upper vs. lower PCSK9-level tertiles were 1.13 (95% CI 0.69-1.85) for all-cause death and remained similar after adjustment for the GRACE score. Patients with higher PCSK9 levels were less likely to reach the recommended LDL cholesterol targets (RR 0.81, 95% CI 0.66-0.99). CONCLUSION: In ACS patients, high initial PCSK9 plasma levels were associated with inflammation in the acute phase and hypercholesterolaemia, but did not predict mortality at 1 year.

Duration of untreated psychosis: Impact of the definition of treatment onset on its predictive value over three years of treatment.

BACKGROUND: While reduction of DUP (Duration of Untreated Psychosis) is a key goal in early intervention strategies, the predictive value of DUP on outcome has been questioned. We planned this study in order to explore the impact of three different definition of "treatment initiation" on the predictive value of DUP on outcome in an early psychosis sample. METHODS: 221 early psychosis patients aged 18-35 were followed-up prospectively over 36 months. DUP was measured using three definitions for treatment onset: Initiation of antipsychotic medication (DUP1); engagement in a specialized programme (DUP2) and combination of engagement in a specialized programme and adherence to medication (DUP3). RESULTS: 10% of patients never reached criteria for DUP3 and therefore were never adequately treated over the 36-month period of care. While DUP1 and DUP2 had a limited predictive value on outcome, DUP3, based on a more restrictive definition for treatment onset, was a better predictor of positive and negative symptoms, as well as functional outcome at 12, 24 and 36 months. Globally, DUP3 explained 2 to 5 times more of the variance than DUP1 and DUP2, with effect sizes falling in the medium range according to Cohen. CONCLUSIONS: The limited predictive value of DUP on outcome in previous studies may be linked to problems of definitions that do not take adherence to treatment into account. While they need replication, our results suggest effort to reduce DUP should continue and aim both at early detection and development of engagement strategies.