- Renal Transplantation Outcomes and Treatments
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
- Statistical Methods in Clinical Trials
- Organ Transplantation Techniques and Outcomes
- Organ Donation and Transplantation
- Renal and Vascular Pathologies
- Statistical Methods and Bayesian Inference
- Metabolism and Genetic Disorders
- Health, Environment, Cognitive Aging
- Bayesian Modeling and Causal Inference
- Algal biology and biofuel production
- Mitochondrial Function and Pathology
- COVID-19 and healthcare impacts
- Nutritional Studies and Diet
- Cytomegalovirus and herpesvirus research
- Liver Disease and Transplantation
- Monoclonal and Polyclonal Antibodies Research
- Health Systems, Economic Evaluations, Quality of Life
- Adipose Tissue and Metabolism
- AI in cancer detection
- Solar-Powered Water Purification Methods
- Mycobacterium research and diagnosis
- Statistical Methods in Epidemiology
- Light effects on plants
Institut de Cancérologie de l'Ouest
2025
Inserm
2008-2024
Sciences, Philosophie, Histoire
2014-2024
Nantes Université
2014-2024
Université de Tours
2017-2023
Centre Hospitalier Universitaire de Tours
2018-2022
Institut de Transplantation Urologie en Nephrologie
2015-2016
Centre Hospitalier Universitaire de Nantes
2016
Laboratoire de Génie des Procédés – Environnement – Agro-alimentaire
2011-2015
Université de Bourgogne
2003-2008
Abstract Controlling for confounding bias is crucial in causal inference. Distinct methods are currently employed to mitigate the effects of bias. Each requires introduction a set covariates, which remains difficult choose, especially regarding different methods. We conduct simulation study compare relative performance results obtained by using four sets covariates (those causing outcome, those treatment allocation, both outcome and all covariates) methods: g-computation, inverse probability...
Confounding factors are commonly encountered in observational studies. Several confounder‐adjusted tests to compare survival between differently exposed subjects were proposed. However, only few studies have compared their performances regarding type I error rates, and no study exists evaluating II rates. In this paper, we performed a comparative simulation based on two different applications kidney transplantation research. Our results showed that the propensity score‐based inverse...
Purpose To evaluate the effectiveness of C-LAB ® , an artificial intelligence (AI) platform, in extracting, structuring, and centralizing biomarker data from breast cancer pathology reports within challenging, heterogeneous dataset Institut de Cancérologie l’Ouest (ICO). Methods was deployed at ICO to analyze HER2 hormonal receptor reports. During development phase, 292 anatomic were used design refine rule-based extraction algorithm through iterative process monitoring adjustments. After...
From a prospective and multicentric French cohort, we proposed an external validation study for the expanded criteria donor (ECD), based on 4833 kidney recipients transplanted first time between 2000 2014. We estimated subject-specific effect from multivariable Cox model. confirmed 1.75-fold (95% confidence interval [CI] 1.53-2.00, P < .0001) increase in graft failure risk if given patient received ECD compared to with standard (standard [SCD]). Complementarily, population-average using...
Background About 10–20% of pancreas allografts are still lost in the early postoperative period despite identification numerous detrimental risk factors that correlate with graft thrombosis. Methods We conducted a multicenter study including 899 transplant recipients between 2000 and 2018. Early failure due to complete thrombosis, long-term pancreas, kidney patient survivals were analyzed adjusted donor, recipient perioperative variables using multivariate cause-specific Cox model stratified...
Abstract In clinical research, there is a growing interest in the use of propensity score-based methods to estimate causal effects. G-computation an alternative because its high statistical power. Machine learning also increasingly used possible robustness model misspecification. this paper, we aimed propose approach that combines machine and when both outcome exposure status are binary able deal with small samples. We evaluated performances several methods, including penalized logistic...
In time-to-event settings, g-computation and doubly robust estimators are based on discrete-time data. However, many biological processes evolving continuously over time. this paper, we extend the standardisation procedures to a continuous-time context. We compare their performance well-known inverse-probability-weighting estimator for estimation of hazard ratio restricted mean survival times difference, using simulation study. Under correct model specification, all methods unbiased, but...
In mammals, during the aging process, an atrophy of muscle fibers, increase in body fat mass, and a decrease skeletal oxidative capacities occur. Compounds activities that interact with lipid metabolism may be useful limiting damages occur muscle. this study, we evaluated effect L-carnitine physical exercise on several parameters related to physiology. We described supplementing old rats at 30 mg/kg weight for 12 weeks (a) allowed restoration level cells, (b) restored activity soleus, (c)...
Ischemia-reperfusion induces tubular and endothelial damage in the renal graft leads to delayed function (DGF) an early loss of peritubular capillaries (PTC). Few, if any, clinical studies have assessed impact proangiogenic antiangiogenic factors on repair during transplantation (RT)-related ischemia-reperfusion.We prospectively kinetics factor soluble Fms-like tyrosine kinase-1 (sFlt-1) 136 consecutive RT patients analyzed sFlt-1 DGF PTC loss.sFlt-1 plasma levels increased by twofold...
Barbiturates are proposed as a second/third line treatment for intracranial hypertension in traumatic brain injury (TBI) patients, but the literature remains uncertain regarding their benefit/risk balance. We aimed to evaluate impact of barbiturates therapy TBI patients with early on intensive care unit (ICU) survival, occurrence ventilator-associated pneumonia (VAP), and patient's functional status at three months. used French AtlanREA prospective cohort trauma patients. Using propensity...
Time-dependent receiver operating characteristic curves allow to evaluate the capacity of a marker discriminate between subjects who experience event up given prognostic time from those are free this event. In article, we propose an inverse probability weighting estimator standardized and weighted time-dependent curve. This provides measure capacities by taking into account potential confounding factors. We illustrate robustness simulation-based study its usefulness two applications in...
In causal studies, the near-violation of positivity may occur by chance, because sample-to-sample fluctuation despite theoretical veracity assumption in population. It mostly happen when exposure prevalence is low or sample size small. We aimed to compare robustness g-computation (GC), inverse probability weighting (IPW), truncated IPW, targeted maximum likelihood estimation (TMLE), and TMLE this situation, using simulations one real application. also tested different extrapolation...
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Background While Urinary tract infections are the most common in kidney transplant recipients, impact of late acute graft pyelonephritis (AGPN) on outcomes remains unknown. Our study was performed to more precisely evaluate long-term AGPN. Methods We included 9052 and combined kidney-pancreas recipients who underwent transplantation between 2008 2018 from a French multicenter cohort. The relationships AGPN patient survival were analyzed with time-dependent multivariate Cox model. Results...
A significant number of studies have compared graft outcomes between patients with Pre-emptive Kidney Transplantation (PreKT) and on Dialysis before their (DiaKT). These suffered from the limitation that DiaKT group is composed all dialysed patients, including those placed a waiting list at time first dialysis session. This seriously questions comparability these long need for renal replacement therapy. The aim this study was to precisely evaluate causal effect PreKT deceased donors.Data...