Rahul Banerjee, MD, FACP ✓
@RahulBanerjeeMD · Seattle, WA · joined 25 Mar 2009
Associate Professor @UWMedicine @fredhutch. Goals: improve patient experience in myeloma: ⬇️ dex, 🙅🏼♂️ 24-hr urines, et al. COI: https://t.co/3Uuojuio6R
12 241Followers
4 066Following
35 608Posts total
104.8KViews on collected posts
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Not 🌹 by any other name, but "RT" by any other name...
RCT of 🇺🇸 adults (not pts) with cancer vignettes. Clear preference for "radiotherapy" > "radiation therapy."
I'm grateful to rad onc colleagues who see many pts with multiple myeloma... I'll start using this term instead! h
949 views · 1 likes
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This year, SUCCESSOR-2 showed half the risk of myeloma progression... using half the dose of a drug we commonly use.
Let's dig into the evidence! cc @szusmani @khancology
Watch the rest of the series from @mlieducation & get CE credit at https://t.co/rALTPoKlKB
#RRMM #mmsm htt
772 views · 7 likes
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2:25
Very rarely can we as a field point to a single clinician-researcher who made a whole field possible.
Everything that any trainee has ever learned about MGUS, they learned from work led by Dr. Kyle. Truly inspiring for all of us in the myeloma field.
@VincentRK @IMFmyeloma
2.3K views · 34 likes
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Not a clinic goes by where I don’t directly or indirectly reference the incredible work of Robert Kyle. When they speak of standing on the shoulders of giants there was no greater giant than he ! @MayoClinic @IMFmyeloma #mmsm https://t.co/elxkPAQGvz
4.1K views · 37 likes
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This is the type of data we are all excited to see!!
As I remember you saying a few months ago, mechanisms of #MMsm resistance appear totally different (and less common) with TCE + CD38 vs traditional TCE monotherapy.
Turns out that everyone needs friends... BsAbs included!
2.5K views · 15 likes
· 4 reposts · 1 replies
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@RahulBanerjeeMD @BloodPortfolio @paurotero @AjaiChari @mvmateos @AnnaSureda5 @DholariaMD @DoctorAKrishnan Been preaching that for a while ….similar data in the works with Talq about to be submitted. TCE + CD38 eliminates Ag escape resistant clones and enhances immune response. W
3.6K views · 14 likes
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Can a single word influence cancer treatment preferences?
In our randomized experiment, calling the same treatment “radiotherapy” rather than “radiation therapy” increased preference for radiation treatment by 8.3 percentage points.
Just published in @IJROBP:
12.3K views · 35 likes
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@RahulBanerjeeMD @BloodJournal @SWOG @jmikhaelmd @VincentRK @Bethfaiman @MMKingT Love this editorial from @jmikhaelmd and Susan Harding to accompany your work @RahulBanerjeeMD! But, I like my visual better... it shows the impact of [40mgx4daysx3weeksx6months] vs [40mgx1dayx3wee
2.6K views · 8 likes
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@RahulBanerjeeMD @BloodJournal @SWOG @jmikhaelmd @VincentRK @Bethfaiman @MMKingT Congrats Rahul - great work here!
678 views · 6 likes
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@RahulBanerjeeMD @BloodJournal @SWOG @jmikhaelmd @VincentRK @Bethfaiman @MMKingT Congratulations, will have this to read soon
I am all to lower doses of Dex
726 views · 6 likes
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Grateful to @BloodJournal, co-authors, and @SWOG for making this #downwithdex piece possible!
Dex 40mg weekly in #MMsm induction:
1️⃣ Not practical even for trial-enrolled patients
2️⃣ Does not improve PFS vs ⬇️ dex
Twitter 🧵 once I’m back from #IMS24!
https://t.co/1Sy1WQpHjk
74.2K views · 220 likes
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Against accounts of the same size
7 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.
Median views2 546this account1 041median for 10K–100K
Reach, %20.80%this account3.61%median for 10K–100K
Engagement, %0.79%this account1.70%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 2 546 | 1 041 | 2.45× |
| Reach (views ÷ followers) | 20.80% | 3.61% | 5.76× |
| Engagement rate | 0.79% | 1.70% | 0.46× |
Others in this range → Compare with another account → How these benchmarks are built →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
74.2K26 Sep
72627 Sep
678
2.6K4 Jan
12.3K5 Aug
3.6K4 Sep
2.5K
4.1K
2.3K
772
9498 Sep
Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.41%26 Sep
1.24%27 Sep
1.33%
0.50%4 Jan
0.51%5 Aug
0.49%4 Sep
0.79%
1.16%
1.51%
0.91%
0.32%8 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.70%.
What the audience does
Likes65.7%383 in total
Reposts14.2%83 in total
Replies6.0%35 in total
Quotes4.3%25 in total
Bookmarks9.8%57 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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