Publications by authors named "C J Coscia"
Article Synopsis
- Causal mediation analysis (CMA) is gaining popularity in epidemiological studies but has limitations due to assumptions about confounding bias.
- The authors propose a new method, MRinCMA, which combines CMA with Mendelian randomization to improve analysis of the causal effects of obesity and diabetes on pancreatic cancer.
- Simulations showed that MRinCMA generally performs better than structural equation models, particularly with noncontinuous variables, and the study did not find evidence of a causal link between obesity or diabetes and pancreatic cancer.
The therapeutic approach of bladder cancer strongly determines its prognosis. We describe the treatments and outcomes for a Spanish cohort of patients with bladder cancer for the first 12 months after diagnosis and identify the factors that influenced the decision to undergo the treatment received. We conducted a multicenter, prospective, cohort study including primary bladder cancer patients during the first 12 months after diagnosis.
View Article and Find Full Text PDFMendelian randomization (MR) uses genetic variants as instrumental variables to investigate the causal effect of a risk factor on an outcome. A collider is a variable influenced by two or more other variables. Naive calculation of MR estimates in strata of the population defined by a collider, such as a variable affected by the risk factor, can result in collider bias.
View Article and Find Full Text PDFArticle Synopsis
- The study focuses on improving outcomes for patients with cardiogenic shock (CS), particularly those requiring mechanical circulatory support (MCS), by analyzing a care program implemented by a multidisciplinary team in a regional hospital network from 2014 to 2019.
- A total of 130 patients were examined, with a majority being middle-aged men; most cases were due to heart failure or myocardial infarction, and 81% of patients used MCS, primarily extracorporeal membrane oxygenation (ECMO).
- The program achieved a 57% survival rate to discharge, suggesting that a coordinated approach with specialized teams significantly benefits patients in critical conditions like refractory CS.
Objectives: To characterise the association between type 2 diabetes mellitus (T2DM) subtypes (new-onset T2DM (NODM) or long-standing T2DM (LSDM)) and pancreatic cancer (PC) risk, to explore the direction of causation through Mendelian randomisation (MR) analysis and to assess the mediation role of body mass index (BMI).
Design: Information about T2DM and related factors was collected from 2018 PC cases and 1540 controls from the PanGenEU (European Study into Digestive Illnesses and Genetics) study. A subset of PC cases and controls had glycated haemoglobin, C-peptide and genotype data.