Publications by authors named "Laurent Boyer"

Objective: To report the territorial distribution and characteristics of healthcare centres performing surgical abortion in France, along with the accessibility of these centres.

Material And Methods: A nationwide population-based cohort study of all women hospitalized for surgical abortion was conducted from January 1 to December 31, 2022 in metropolitan France. Number, location, activity volume and use of local anaesthesia rate of surgical abortion centres were reported as distribution activity across metropolitan France.

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A new bicyclic polyketide, amesilide (), along with the previously reported metabolites, chamisides A (), B (), and E (), chaetoconvosins B () and C (), and chaetochromins A () and B (), were isolated from the marine fungus MUT6601. The structures of the compounds were determined by extensive spectrometric (HRMS) and spectroscopic (1D and 2D NMR) analyses, as well as specific rotation. Absolute configurations of the stereogenic centers of amesilide () were determined by a comparison of its experimental circular dichroism (CD) spectrum with its time-dependent density functional theory (TD-DFT) electronic circular dichroism (ECD) spectra.

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Background: Improving access to medical transition for transgender and gender diverse (TGD) individuals is a priority, which requires data on the experience of medical transition during and after the process. However, no Patient-Reported Experience Measurement (PREM) questionnaire has been developed specifically for this population until now in the French context. The primary objective was to provide preliminary evidence of the psychometric properties regarding validity and reliability of the PREMIUM questionnaires among TGD individuals undergoing medical transition.

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Background: Photobiomodulation (PBM) is a non-invasive therapy increasingly used for pain, inflammation, and tissue repair, yet a comprehensive synthesis of its effectiveness across multiple health outcomes remains lacking. Herein, we aimed to systematically assess the clinical effects and strength of evidence for PBM across a wide range of health outcomes using data from existing meta-analyses of randomized controlled trials (RCTs).

Methods: We conducted an umbrella review of meta-analyses of RCTs, searching five databases up to December 8, 2023.

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Background: The patterns of cancer burden in children, adolescents and young adults are distinct from those in the general adult population, underscoring the importance of developing targeted research and interventions. Thus, we analyzed global, regional, and national cancer mortality trends via the World Health Organization (WHO) Mortality Database among children aged 0-14 years and adolescents and young adults aged 15-34 across 77 WHO Member States.

Methods: Age-standardized country-specific cancer mortality rates (deaths per 100,000) and years of life lost between 1990 and 2021 were estimated via a locally weighted scatterplot smooth curve.

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BackgroundSurvival extrapolation is used to predict patients' overall survival beyond clinical trial follow-up. It can significantly affect the results of a cost-effectiveness analysis and subsequent pricing and reimbursement decisions. However, selecting an appropriate model involves subjectivity, leading to discrepancies between methods submitted by manufacturers and those accepted by health technology assessment (HTA) agencies.

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Insomnia may negatively impact seizure control; however, the corresponding evidence remains limited. This study analyzed the seizure risk associated with various insomnia medications using a comprehensive pharmacovigilance database and identified safe options for patients at high risk of seizures. VigiBase, a database of adverse drug reaction reports from over 140 countries, comprises 35 million reports published from 1967 to 2023.

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Background And Hypothesis: We examined the association between metacognitive performance, functioning, and quality of life (QoL) in schizophrenia using structural equation model analyses.

Study Design: A sample of 249 participants was assessed for symptoms, functioning, QoL, and both objective and subjective cognitive performance. Metacognitive performance was defined as the adequation between objective and subjective measures of cognitive performance.

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Background: This study aimed to systematically assess the quality, biases, and credibility of associations between potential Alzheimer's disease (AD) biomarkers through an umbrella review of existing meta-analyses.

Methods: We systematically searched PubMed/MEDLINE, Embase, CINAHL, and Google Scholar up to December 18, 2024, for meta-analyses of observational studies examining biomarkers for AD. Two reviewers independently screened studies and extracted data.

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Biostimulants, including calcium hydroxyapatite (CaHA), poly-L-lactic acid (PLLA), and polycaprolactone (PCL), have become popular in aesthetic medicine as they lead to long-term tissue rejuvenation. However, their efficacy (e.g.

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this study aimed at analyzing the internalized stigma latent profiles and the covariates that predict variations in their levels considering antecedent variables such as ethnicity, gender and some relevant clinical characteristics like premorbid adjustment, Duration of Untreated Psychosis and symptoms. Latent Class Analysis (LCA) was used to devise a solution with three internalized stigma profiles in a sample comprised by 227 patients diagnosed with schizophrenia from the Public Mental Health Centers of the city of Arica, Chile. the results showed that premorbid adjustment is a significant predictor of class belonging for the latent stigma profiles.

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Background: Health is shaped by a complex network of socio-economic, environmental and behavioral factors, known as social determinants of health (SDOH). SDOH can be optionally documented using Z codes from the International Classification of Diseases, Tenth Revision (ICD-10) in the French national hospital database. This study aimed to (a) describe the use of SDOH codes among adult inpatients in France in 2022, and temporal trends from 2014 to 2022; and (b) identify the characteristics of hospital stays associated with the presence of SDOH codes.

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The International Classification of Diseases, 11th Revision (ICD-11), developed by the World Health Organization, represents a transformative update to global health data classification systems. Building on the foundation of ICD-10, it introduces innovative features such as multilingual coding, advanced interoperability, postcoordination, and improved specificity, enabling better alignment with modern healthcare and digital information systems. This commentary explores the adoption pathways for ICD-11 in France and the United States, 2 countries with complex healthcare infrastructures and distinct implementation strategies.

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Background: Quality of life (QoL) in patients with Schizophrenia has become one of the most important outcome measures in long-term treatment; however, in the Latin American context, longitudinal research that analyzes its trajectories over time and its relationship with clinical and sociodemographic aspects is still scarce. The aim of this study was to longitudinally evaluate QoL in conjunction with psychotic symptomatology, internalised stigma, social cognition, premorbid adjustment, and years of untreated psychosis in a sample of patients with a diagnosis of Schizophrenia in Northern Chile.

Method: A total of 26 patients were able to complete the 10-year follow-up of measures and predictors of stigma, which were evaluated in Public Outpatient Mental Health Centres in the city of Arica between March-July 2012 and March-July 2022.

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Background: Functional near-infrared spectroscopy (fNIRS) is increasingly used to examine cognitive abilities and support the diagnosis of bipolar disorder (BD). Despite its growing application, research on functional connectivity in BD remains limited, and task-induced functional connectivity remains under-investigated. This study aims to differentiate patients with BD from healthy controls (HCs) based on fNIRS-derived functional connectivity.

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The symptoms of long COVID are well-documented. However, the long-term effects beyond 2 years remain poorly understood due to a lack of data. This systematic review and meta-analysis examined the prevalence of persistent symptoms in COVID-19 survivors 3 years following initial SARS-CoV-2 infection.

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Background/objectives: Artificial intelligence (AI) assessment of diabetic retinopathy (DR) instead of scarce trained specialists could potentially increases the efficiency and accessibility of screening programs. This systematic review aims to systematically examine the uptake of follow-up appointments with initial computer-based AI and human graders of DR.

Methods: We conducted a systematic review and meta-analysis by screening articles in any languages in PubMed, MEDLINE (Ovid), EMBASE, Web of Science, Cochrane CENTRAL and CDSR published from database inception up to 20 August 2024.

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Background: Septic shock and cancer occur routinely in intensive care unit patients. Our aim was to use the French national hospitalization database to overcome the limitations of the small cohorts used in previous studies that examined the 90-day mortality rate of patients with septic shock and either solid or hematological cancers.

Methods: We performed a retrospective cohort study using data from the French national hospitalization database regarding adult patients with septic shock from 2017 to 2018.

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Ventilator-associated pneumonia (VAP) is a common and serious ICU complication, affecting up to 40% of mechanically ventilated patients. The diagnosis of VAP currently relies on retrospective clinical, radiological, and microbiological criteria, which often delays targeted treatment and promotes the overuse of broad-spectrum antibiotics. The early prediction of VAP is crucial to improve outcomes and guide antimicrobial use related to this disease.

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