Docteur Eric THOMAS

Bibliographie

• Measurement of $C\!P$ asymmetry in $D^0 \to K^0_{\rm S} K^0_{\rm S}$ decays with the LHCb Upgrade I detector

  2026

  ArticleJHEP

• First observation of the $\overline{B}_{s}^{0}\toΛ_{c}^{+}\overlineΛ_{c}{}^{-}$ decay and evidence for the $\overline{B}^{0}\toΛ_{c}^{+}\overlineΛ_{c}{}^{-}$ decay

  2026

  ArticlePhys.Rev.Lett.

• Observation of $B_c^+ \to D h^+ h^-$ decays

  2026

  ArticlePhys.Rev.Lett.

• Differential decay rate of $B^+ \to J/ψK^+$ with the LHCb Upgrade I experiment

  2026

  ArticleJHEP

Source : HAL — archive ouverte CCSD/CNRS (couvre articles, chapitres EMC, communications congrès, thèses).

Localisation

Adresses géocodées via la Base Adresse Nationale (api-adresse.data.gouv.fr). Précision indicative.

Lieu de consultation

• SERVICE DE SOINS SNCF

  4 Rue CATALAN, 34000 Montpellier

  ☎ 0499741540Hospitalier🏥 Voir cet établissement
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  📷 Street View ↗🗺️ Maps ↗OSM ↗

Tarifs & secteur de conventionnement

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Prendre rendez-vous & contact

Lien Doctolib = recherche Google site:doctolib.fr (le 1er résultat est presque toujours le profil correct s'il existe).

Top publications · les plus citées

• 1

  Randomized controlled trial of the "WISER" intervention to reduce healthcare worker burnout

  Journal of perinatology : official journal of the California Perinatal Association · 2021

  📚 47 citations🎯 RCR 4.68Top 9% NIH🩺 Clinique🔓 Open Access📄 PDF gratuit ↗

  Lire l'abstract Crossref ↓

  Abstract Objective Test web-based implementation for the science of enhancing resilience (WISER) intervention efficacy in reducing healthcare worker (HCW) burnout. Design RCT using two cohorts of HCWs of four NICUs each, to improve HCW well-being (primary outcome: burnout). Cohort 1 received WISER while Cohort 2 acted as a waitlist control. Results Cohorts were similar, mostly female (83%) and nurses (62%). In Cohorts 1 and 2 respectively, 182 and 299 initiated WISER, 100 and 176 completed 1-month follow-up, and 78 and 146 completed 6-month follow-up. Relative to control, WISER decreased burnout (−5.27 (95% CI: −10.44, −0.10), p = 0.046). Combined adjusted cohort results at 1-month showed that the percentage of HCWs reporting concerning outcomes was significantly decreased for burnout (−6.3% (95%CI: −11.6%, −1.0%); p = 0.008), and secondary outcomes depression (−5.2% (95%CI: −10.8, −0.4); p = 0.022) and work-life integration (−11.8% (95%CI: −17.9, −6.1); p < 0.001). Improvements endured at 6 months. Conclusion WISER appears to durably improve HCW well-being. Clinical Trials Number NCT02603133; https://clinicaltrials.gov/ct2/show/NCT02603133

• 2

  Disease consequences of higher adiposity uncoupled from its adverse metabolic effects using Mendelian randomisation

  eLife · 2022

  📚 40 citations🎯 RCR 3.54Top 13% NIH🔓 Open Access

  Lire l'abstract Crossref ↓

  Background: Some individuals living with obesity may be relatively metabolically healthy, whilst others suffer from multiple conditions that may be linked to adverse metabolic effects or other factors. The extent to which the adverse metabolic component of obesity contributes to disease compared to the non-metabolic components is often uncertain. We aimed to use Mendelian randomisation (MR) and specific genetic variants to separately test the causal roles of higher adiposity with and without its adverse metabolic effects on diseases. Methods: We selected 37 chronic diseases associated with obesity and genetic variants associated with different aspects of excess weight. These genetic variants included those associated with metabolically ‘favourable adiposity’ (FA) and ‘unfavourable adiposity’ (UFA) that are both associated with higher adiposity but with opposite effects on metabolic risk. We used these variants and two sample MR to test the effects on the chronic diseases. Results: MR identified two sets of diseases. First, 11 conditions where the metabolic effect of higher adiposity is the likely primary cause of the disease. Here, MR with the FA and UFA genetics showed opposing effects on risk of disease: coronary artery disease, peripheral artery disease, hypertension, stroke, type 2 diabetes, polycystic ovary syndrome, heart failure, atrial fibrillation, chronic kidney disease, renal cancer, and gout. Second, 9 conditions where the non-metabolic effects of excess weight (e.g. mechanical effect) are likely a cause. Here, MR with the FA genetics, despite leading to lower metabolic risk, and MR with the UFA genetics, both indicated higher disease risk: osteoarthritis, rheumatoid arthritis, osteoporosis, gastro-oesophageal reflux disease, gallstones, adult-onset asthma, psoriasis, deep vein thrombosis, and venous thromboembolism. Conclusions: Our results assist in understanding the consequences of higher adiposity uncoupled from its adverse metabolic effects, including the risks to individuals with high body mass index who may be relatively metabolically healthy. Funding: Diabetes UK, UK Medical Research Council, World Cancer Research Fund, National Cancer Institute.

• 3

  Long-Term Impacts Faced by Patients and Families After Harmful Healthcare Events

  Journal of patient safety · 2021

  📚 38 citations🎯 RCR 4.45Top 9% NIH🔓 Open Access

  Lire l'abstract Crossref ↓

  Background Patients and families report experiencing a multitude of harms from medical errors resulting in physical, emotional, and financial hardships. Little is known about the duration and nature of these harms and the type of support needed to promote patient and family healing after such events. We sought to describe the long-term impacts (LTIs) reported by patients and family members who experienced harmful medical events 5 or more years ago. Methods We performed a content analysis on 32 interviews originally conducted with 72 patients or family members about their views of the factors contributing to their self-reported harmful event. Interviews selected occurred 5 or more years after the harmful event and were grouped by time since event, 5 to 9 years (22 interviews) or 10 or more years (10 interviews) for analysis. We analyzed these interviews targeting spontaneous references of ongoing impacts experienced by the participants. Results Participants collectively described the following four LTIs: psychological, social/behavioral, physical, and financial. Most cited psychological impacts with half-reporting ongoing anger and vivid memories. More than half reported ongoing physical impacts and one-third experienced ongoing financial impacts. Long-term social and behavioral impacts such as alterations in lifestyle, self-identity, and healthcare seeking behaviors were the most highly reported. Conclusions These patients and families experienced many profound LTIs after their harmful medical event. For some, these impacts evolved into secondary harms ongoing 10 years and more after the event. Our results draw attention to the persistent impacts patients and families may experience long after harmful events and the need for future research to understand and support affected patients and families.

Publications scientifiques (50) — classées par pathologie

Source PubMed · Recherche par auteur (homonymes possibles, vérifier l'affiliation).

Datasets & protocoles partagés

• SAQ factor definitions and example items

  Image2011figshare

  <b>Copyright information:</b>Taken from "The Safety Attitudes Questionnaire: psychometric properties, benchmarking data, and emerging research"BMC Health Services Research 2006;6():44-44.Published online 3 Apr 2006PMCID:

• Distribution of percent positive scores for the 203 clinical areas

  Image2011figshare

  <b>Copyright information:</b>Taken from "The Safety Attitudes Questionnaire: psychometric properties, benchmarking data, and emerging research"BMC Health Services Research 2006;6():44-44.Published online 3 Apr 2006PMCID:

• CCDC 916509: Experimental Crystal Structure Determination

  Dataset2013Cambridge Crystallographic Data Centre

  Related Article: Thomas Burns, Madeleine Helliwell, Eric J. Thomas|2013|Tetrahedron Lett.|54|2120|doi:10.1016/j.tetlet.2013.01.110

• CCDC 1034707: Experimental Crystal Structure Determination

  Dataset2015Cambridge Crystallographic Data Centre

  Related Article: Erica S. Burnell, Abdur-Rehman Irshad, James Raftery, Eric J. Thomas|2015|Tetrahedron Lett.|56|3255|doi:10.1016/j.tetlet.2015.01.082

• CCDC 1049873: Experimental Crystal Structure Determination

  Dataset2015Cambridge Crystallographic Data Centre

  Related Article: Hugh A. Hoather, James Raftery, Irem Yalavac, Eric J. Thomas|2015|Tetrahedron|71|4124|doi:10.1016/j.tet.2015.04.101

• CCDC 1049874: Experimental Crystal Structure Determination

  Dataset2015Cambridge Crystallographic Data Centre

  Related Article: Hugh A. Hoather, James Raftery, Irem Yalavac, Eric J. Thomas|2015|Tetrahedron|71|4124|doi:10.1016/j.tet.2015.04.101

Source : DataCite — DOIs pour datasets, logiciels, protocoles, registres patient. Hors articles (déjà couverts).

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