Patients are injecting peptides: Ask before you operate

A patient on next week’s surgical schedule is likely to be injecting a compound that no regulator has approved; no randomized trial has tested in human tendons, ligaments or bone; and no pharmacy has yet been authorized to compound.
Chances are the patient has not told you or your staff. In a review of clinical notes from more than 15 million patients across a national health-record network, Venkatakrishnan and colleagues identified 1,039 confirmed users of BPC-157, which is half of the “Wolverine stack” that pairs with TB-500. New users have increased 33-fold between 2020

Switch to off-label bevacizumab may be detrimental to patients with wet AMD

NEW ORLEANS — In this video, Adam J. Weiner, MD, said worse outcomes were observed in patients with wet age-related macular degeneration who were switched from anti-VEGF therapy to off-label bevacizumab due to financial reasons.
The retrospective single-center study presented at the American Academy of Ophthalmology meeting followed patients with wet AMD who were switched from FDA-approved commercial anti-VEGF therapies to off-label bevacizumab. At 6 months after the switch, patient vision declined, central subfield thickness increased and injections were needed more frequently.
“We can

Participation in stool-based screening cut CRC deaths by 43%

An invitation to participate in a fecal occult blood test screening program in Sweden was associated with a 26% decline in colorectal cancer mortality, which jumped to a 43% decline for participating, results of a prospective study showed.
“One of the major challenges in colorectal cancer screening is demonstrating the effectiveness of an ongoing population-based screening program,” Johannes Blom, MD, PhD, a principal researcher who specializes in cancer prevention and screening at Karolinska Institutet, told Healio. “Randomized trials conducted several decades ago showed that fecal occult

Machine learning links gait patterns to osteoarthritis severity

Unsupervised machine learning identified a gait loading pattern associated with worse clinical and radiographic outcomes in patients with knee osteoarthritis and high BMI, according to data published in Arthritis Care & Research.
“The specific limb-level loading profiles associated with clinically relevant knee OA features in individuals with high BMI remain unclear,” Ashley N. Buck, PhD, of the University of Wisconsin-Madison, and colleagues wrote. “Characterizing latent biomechanical phenotypes is therefore fundamental to help inform rehabilitation strategies in