Jeff Ryckman
@jryckman3
Medical physicist➡️MD. Passionate about #RadOnc. Focus on QoL⚖️, LR-PFS 🎯, OS, constraints🙅♀️, standardization, & reproducibility. #RadOncCalc @RadOncReview
ID:85858016
https://radonccalc.radoncreview.org/ 28-10-2009 16:48:48
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Sounds like an opportunity for greater partnership/collaboration to optimize combination bridging and/or salvage strategies ILROG Team ASTRO Chelsea C Pinnix MD PhD Joachim (Achy) Yahalom Bouthaina Dabaja MD Nick Figura, MD Michael Jain Jeff Ryckman
#medstudents interested in #radonc - check out our ACROresident podcast 🎙 on preparing for residency interview for #MATCH2023 !
🙏🏽 to everyone who submitted ❓
alexis schutz Cyrus Washington, MD
Inside The Match
Jeff Ryckman 5’UTR David Hodgson and when it does not work...can we have some RT so the CAR-T gets a boost please
Million dollar question right there!
Hats off to David Hodgson and COG for setting the bar and appropriately valuing RT in the treatment of Hodgkins Lymphoma
Unlike ECHELON-1🙄
Seems like adult HL trials have something to learn from COG! 👏 #radonc #hemeonc #medonc #medtwitter
#CALGB50801 : Omitting RT in bulky (>10 cm or 1/3 the maximum intrathoracic diameter) early-stage cHL
🚫 Omits RT at expense of 2 addnl cycles of ABVD.
🚫 Does not discuss the degree of CT-based residual.
🚫 Utilized outdated RT methods (IFRT) in SER.
1/3 pubmed.ncbi.nlm.nih.gov/36269899/
Dhruv Srinivasachar MD (he/el/ele.) Harry Thomas The diff between NZ and USA is vast - this wouldn't happen in NZ
Big pharma doesnt have to endure the same level of oversight in the US (highest drug spending per capita) as it does in NZ (lowest drug spending per capita)
Jordan Harbinger John Abramson
podcasts.apple.com/us/podcast/the…
Milan Hora Sarah P. Psutka MD MS Arnaud Méjean, MD, PhD Jeff Ryckman In oncology, HR < 0.5 w ARR > 10% would be incredible.
The best HR seen in all RCTs of local tx is ~0.8, but most are ~1.0 (ie, local tx does not help).
The HR in this study is 0.33, 95% CI 0.24–0.45, ARR > 50%.
This paragraph explains why:
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Milan Hora Sarah P. Psutka MD MS Arnaud Méjean, MD, PhD Jeff Ryckman One way to evaluate for immortal time bias (which is seen in retrospective comparative effectiveness research) is to look at the KM curves. If one curve has no events for prolonged time, the pts are 'immortal' during this time.