Publications by authors named "G M Lewis"

Aims: The SCOPE2 trial evaluates radiotherapy (RT) dose escalation for oesophageal cancer. We report findings from the accompanying RT quality assurance (RTQA) programme and identify recommendations for PROTIEUS, the next UK trial in oesophageal RT.

Maetrials And Methods: SCOPE2's RTQA programme consisted of a pre-accrual and on-trial component.

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Objective: OnabotulinumtoxinA (BTA) injections are useful for treatment of myofascial pelvic pain. Concurrent pudendal nerve block (PNB) has been suggested to decrease postoperative pain, as BTA does not take an immediate effect. The efficacy of PNB for this purpose has not been well elucidated.

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Background And Aims: Individuals with steatotic liver disease (SLD) are at high cardiovascular disease (CVD) risk, but approaches to characterise and mitigate this risk are limited. By investigating relations, and shared metabolic pathways, of hepatic steatosis/fibrosis and cardiorespiratory fitness (CRF), we sought to identify new avenues for CVD risk reduction in SLD.

Methods: In Framingham Heart Study (FHS) participants (N = 2722, age 54 ± 9 years, 53% women), vibration-controlled transient elastography (VCTE) was performed between 2016-2019 to assess hepatic steatosis (continuous attenuation parameter [CAP]) and fibrosis (liver fibrosis measure [LSM]).

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The incidence of infections attributed to antimicrobial-resistant (AMR) pathogens has increased exponentially over the recent decades reaching 1.27 million deaths worldwide in 2019. Without intervention, these infections are predicted to cause up to 10 million deaths a year and incur costs of up to 100 trillion US dollars globally by 2050.

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Article Synopsis
  • The study evaluated the effectiveness of interdisciplinary pain management programs (IPMPs) for complex regional pain syndrome (CRPS) compared to low back pain (LBP) and chronic widespread pain (CWP).
  • Researchers found that recovery trajectories for pain interference and pain intensity were similar across CRPS, LBP, and CWP patients, indicating equivalent benefits from IPMPs.
  • Machine learning models were successfully used to predict recovery outcomes based on initial characteristics, classifying 69% for pain interference and 88% for pain intensity recovery trajectories.
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