On the p-adic Beilinson conjecture for number fields

International audienceWe formulate a conjectural p-adic analogue of Borel's theorem relating regulators for higher K-groups of number fields to special values of the corresponding zeta-functions, using syntomic regulators and p-adic L-functions. We also formulate a corresponding conjecture for Artin motives, and state a conjecture about the precise relation between the p-adic and classical situations. Parts of the conjectures are proved when the number field (or Artin motive) is abelian over the rationals, and all conjectures are verified numerically in some other cases

J Clin Med

BACKGROUND: During this pandemic situation, some studies have led to hasty conclusions about Corona Virus Disease-19 (COVID-19) treatment, due to a lack of methodology. This pedagogic study aimed to highlight potential biases in research on COVID-19 treatment. METHODS: We evaluate the effect of coffee's active part, 1,3,7-trimethylxanthine (TMX) on patients with COVID-19. A cohort of 93 patients, with a diagnosis of COVID-19 is analyzed. RESULTS: TMX group and control group included, respectively, 26 and 67 patients. In the TMX group, patients had a median length of stay in hospital of 5.5 days shorter than in the control group (9.5 vs. 15 days, p < 0.05). Patients in the control group were more severe than patients in the TMX group with a significantly higher National Early Warning Score 2 (NEWS-2 score) (8 vs. 6, p = 0.002). CONCLUSIONS: Multiple biases prevents us from concluding to an effect of coffee on COVID-19. Despite an important social pressure during this crisis, methodology and conscientiousness are the best way to avoid hasty conclusions that can be deleterious for patients. Identifier: NCT04395742

Female gender and exogenous progesterone exposition as risk factors for spheno-orbital meningiomas

International audienceObjectiveThe great heterogeneity of meningiomas is challenging and we need to distinguish relevant subgroups. Spheno-orbital osteomeningiomas (SOOM) constitute a clinically specific entity, with slow-growing benign osteo-meningiomatous tumors, which recur after surgery in one fourth of cases. Neurosurgical daily practice, supported by the literature, shows that the vast majority of patients with SOOM are women, and we explored whether their epidemiological and hormonal profiles suggest a progesterone influence.MethodsWe retrospectively documented all radiologically and histologically confirmed cases of SOOM operated in 2005–2019 in our institution. We completed the clinical and hormone history by systematic telephone interviews.ResultsIn the literature, SOOM occur significantly more often in women than other meningiomas (749/847, 86.4% versus 73.8%, p = 0.002). Among 175 cases, we included 124 patients, 93.5% were women, younger than men (51 ± 5 versus 63 ± 8, p = 0.02). Women’ meningiomas showed more progesterone receptors (96.4% versus 50%, p < 0.001). Exogenous hormonal intake, reliable in 82 cases, concerned 83.3% (64/78) of women, with frequent progesterone intake: 13 oestroprogestogenic treatment only, with old-generation progesterone analogs, 41 progesterone analogs (cyproterone acetate, nomegestrol acetate, chlormadinone, promegestone, etonogestrel, levonogestrel), 7 substitutive hormonal therapy for menopause, 3 others. Duration of treatment was 2–40 years, median 10 years.ConclusionsSOOM develop preferentially in women in their fifties, who often received progesterone analogs, and show progesterone receptors. Progesterone analogs are incriminated in skull base meningiomas, and this is the first report on the prevalence of exogenous hormone therapy specifically in SOOM. Whether SOOM reduce after treatment discontinuation, in particular the osteoma part, needs to be explored. Anti-progesterone treatments may represent an avenue for future research in soom

Piperogalin, a new prenylated diphenol from Peperomia galioides

International audienc

Comparative performances of machine learning algorithms in radiomics and impacting factors

International audienceAbstract There are no current recommendations on which machine learning (ML) algorithms should be used in radiomics. The objective was to compare performances of ML algorithms in radiomics when applied to different clinical questions to determine whether some strategies could give the best and most stable performances regardless of datasets. This study compares the performances of nine feature selection algorithms combined with fourteen binary classification algorithms on ten datasets. These datasets included radiomics features and clinical diagnosis for binary clinical classifications including COVID-19 pneumonia or sarcopenia on CT, head and neck, orbital or uterine lesions on MRI. For each dataset, a train-test split was created. Each of the 126 (9 × 14) combinations of feature selection algorithms and classification algorithms was trained and tuned using a ten-fold cross validation, then AUC was computed. This procedure was repeated three times per dataset. Best overall performances were obtained with JMI and JMIM as feature selection algorithms and random forest and linear regression models as classification algorithms. The choice of the classification algorithm was the factor explaining most of the performance variation (10% of total variance). The choice of the feature selection algorithm explained only 2% of variation, while the train-test split explained 9%

Predictors of High Motivation Score for Performing Research Initiation Fellowship, Master 1, Research Master 2, and PhD Curricula During Medical Studies

International audienceTranslational research plays a crucial role in bridging the gap between fundamental and clinical research. The importance of integrating research training into medical education has been emphasized. Predictive factors that help to identify the most motivated medical students to perform academic research are unknown. In a cross-sectional study on a representative sample of 315 medical students, residents and attending physicians, using a comprehensive structured questionnaire we assessed motivations and obstacles to perform academic research curricula (ie, research initiation fellowship, Master 1, Research Master 2, and PhD). Independent predictive factors associated with high ''motivation score'' (top quartile on motivation score ranging from 0 to 10) to enroll in academic research curricula were derived using multivariate logistic regression analysis. Independent predictors of high motivation score for performing Master 1 curriculum were: ''considering that the integration of translational research in medical curriculum is essential'' (OR, 3.79; 95% CI, 1.49–9.59; P ¼ 0.005) and ''knowledge of at least 2 research units within the university'' (OR, 3.60; 95% CI, 2.01–6.47; P < 0.0001). Independent predictors of high motivation score for performing Research Master 2 curriculum were: ''attending physician'' (OR, 4.60; 95% CI, 1.86–11.37; P ¼ 0.001); ''considering that the integration of translational research in medical curriculum is essential'' (OR, 4.12; 95% CI, 1.51– 11.23; P ¼ 0.006); ''knowledge of at least 2 research units within the university'' (OR, 3.51; 95% CI, 1.91–6.46; P ¼ 0.0001); and ''male gender'' (OR, 1.82; 95% CI, 1.02–3.25; P ¼ 0.04). Independent predictors of high motivation score for performing PhD curriculum were: ''con-sidering that the integration of translational research in medical curriculum is essential'' (OR, 5.94; 95% CI, 2.33–15.19; P ¼ 0.0002) and ''knowl-edge of at least 2 research units within the university'' (OR, 2.63; 95% CI, 1.46–4.77; P ¼ 0.001). This is the first study that has identified factors determining motivations and barriers to carry out academic research curricula among undergraduate and postgraduate medical students. Improving these 2 areas will certainly have an impact on a better involvement of the next generation of physicians in translational medicine

Prevalence and Recovery From Olfactory and Gustatory Dysfunctions in Covid-19 Infection: A Prospective Multicenter Study

International audienceBackground Covid-19 is defined by an association of multiple symptoms, including frequently reported olfactory and gustatory disorders. Objective The main purpose of this study was to analyze the prevalence of these neurosensory impairments in patients with Covid-19, and to assess short-term recovery. Methods We performed a multicenter case series study during the Covid-19 epidemic. All patients presenting a RT-PCR-confirmed SARS-CoV-2 infection were included, whether hospitalized or treated at home. To analyze the prevalence and features of olfactory and gustatory dysfunctions, a phone interview was conducted 5 days after the positive PCR result. The questionnaire was submitted again 10 days later to patients having reported olfactory and gustatory disorders, in order to assess their recovery. Results 115 patients were included in our study. 81 patients (70%) reported olfactory and gustatory disorders without nasal obstruction or rhinorrhea. These impairments were more frequently reported in the female population, young people, and house-bound patients with mild symptomatic forms. Short-term recovery assessed at Day 15 was complete for 64% of the patients, and incomplete in 33%. Median recovery time was 15 days (4–27 days) after olfactory or gustatory symptom onset. Conclusion Olfactory and gustatory dysfunctions related to Covid-19 are frequently reported and prevalent in mild symptomatic forms of the disease. Recovery in most cases seems rapid and complete