Publications by authors named "A Le Blanche"

Article Synopsis
  • - The study evaluated the effectiveness of CT venography (CTV) in diagnosing venous thromboembolism (VTE) in women during the postpartum period across 14 hospitals from 2016 to 2020.
  • - A total of 123 women were analyzed, revealing that CTV helped identify additional cases of VTE that CT pulmonary angiography (CTPA) missed, increasing the detection rate from 5.7% to 12.2%.
  • - While CTV improved VTE detection, it also resulted in higher radiation exposure compared to CTPA alone, which raises considerations for clinical practice when managing postpartum PE.
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Endometriosis is one of the major gynecological diseases of reproductive-age women. This disease is characterized by the presence of glands and stroma outside the uterine cavity. Several studies have shown the major role of inflammation, angiogenesis, adhesion and invasion, and apoptosis in endometriotic lesions.

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In this study, we employed a visuo-motor imagery task of alertness as a mental training to examine temporal processing of motor responses within healthy young adults. Participants were divided into two groups (group 1; n = 20 who performed the mental training before the real physical task and a control group who performed the physical task without mental training). We vary the time interval between the imperative stimulus and the preceding one (fore-period) in which temporal preparation and arousal increase briefly.

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Background: Missed opportunities for vaccination (MOVs), estimated to be about 32-47% of child healthcare clinic visits in various settings globally, contribute to unfulfilled childhood vaccination coverage targets in the African region.

Objective: We assessed the extent of MOVs, identify local drivers and test interventions to reduce MOVs in Malawi.

Methods: We conducted in-depth and key informant interviews with administrators of district hospitals and officers in charge of community health facilities.

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Great progress has been made in understanding how people make financial decisions. However, there is little research on how people make health and treatment choices. Our study aimed to examine how participants weigh benefits (reduction in disease progression) and probability of risk (medications' side effects) when making hypothetical treatment decisions, and to identify the neural networks implicated in this process.

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