Top Tweets for #leadtimebias
@axelheitmueller @pash22 @mancunianmedic @paulpharoah @NHSEngland @emahase_ @bmj_latest @LungConsultant @susan_bewley @MichaelBaum11 @sib313 @MrJohnMBennett @barrymulholland @NJ_Davies @donavyncoffey @nigelpraities @stevensenior @Timothee_MD @Harvard @RFRedberg @MedicareGov @BostonGlobe @cbarbermd Diagnose earlier and you’ll automatically improve 5 year survival even if death occurs on the same date! #leadtimebias
I’m all for early diagnosis of truly symptomatic disease though
And some screening with fully informed choice
Our treatment pathways aren’t always prompt
#Epitwitter - Need help about #leadtimebias!
I'd like to compare survival of #1 who got diagnosed within 6 mths to #2 who got diagnosed bet/ 6 and 36 mths.
I can't come around the right #targettrial to answer this question bc of #3.
Any thoughts?
@EpiEllie @CAUSALab
👋🏻#Epitwitter I'v got a❓
Do you have a good paper on Lead Time Bias and how to handle it?
Thank you 🙏🏻
@EpiEllie @PWGTennant @dingding_peng
Read 'Assessing lead time bias due to mammography screening on estimates of loss in life expectancy' from #BreastCancerResearch for free: https://t.co/jjt7kW2g2x #Leadtimebias #Lossinlifeexpectancy #Mammographyscreening #Simulationstudy
Sorry, Dr Gottlieb, but this is wrong messaging. #Screening stats 101:
1. The only outcome of interest is reduced mortality
2. Improved survival is subject to various biases including #leadtimebias #lengthtimebias #overdiagnosisbias and is a wrong outcome measure.
Overwhelming data show that early detection of cancer is the key to long term survival.
During the pandemic, a lot of routine healthcare and cancer screening was delayed, forgone.
It’s critical that we make a concerted effort to help people catch up on missed screenings.
One of the best #COVID19 #tweetorial 🧵 we’ve seen. #Leadtimebias is definitely a possibility at this point in time. Let’s wait 3-4 more weeks to see if this hypothesis stands
@FloridaMedical @HealthyFla @TomCarrollMDPhD @TheLinacre @LisaGilbertMD 👇🏾
THINK LIKE AN EPIDEMIOLOGIST: why are COVID deaths *still* not going up 3 weeks after case counts started increasing? There are many possible explanations, but one I haven’t seen mentioned is the impact of widespread testing on *early detection*.
A #tweetorial on LEAD TIME BIAS.
Always love references to Will Rogers Phenomenon. @JAMAOnc editorial reviews impact of advanced imaging for #prostatecancer #oligomets and reminds potential for #LeadTimeBias when testing local ablative therapy in this setting. #radonc #pcsm
https://t.co/tVONEhdtf4
Lead-Time Bias Confounds Association Between Duration of Untreated Psychosis and Illness Course in #Schizophrenia | American Journal of Psychiatry https://t.co/ecZOO5q63E #leadtimebias #DUP
Screening such a minefield! Irrespective of which camp you sit in, such a worthy topic for discussion. As a resp physician, I am mostly exposed to the arguments for. Would be great to see a for/against argument by experts
#overdiagnosis #leadtimebias #overdiagnosisbias #BTOG2020
@kidney_boy @EricTopol Nice study of #leadtimebias
Doesn’t help the patient, increases chance of CKD and burdens the healthcare system...laws of unintended consequences.
Review the following timeline and answer the question:
47 y/o F, healthy
July 1: notices breast mass
July 5: sees MD, confirms
July 8: US shows solid mass
July 10: Biopsy done
July 11: pathology report says cancer
July 12: patient is told she has cancer
@KaminskiMed @atzouvelekis @davidlederer @jonas_schupp @ATSBlueEditor @PccsmYale @YalePCCSM @YaleMed @YaleIMed @IPFWarrior @BreatheWithPF @KerriBerriKerri @leticiakawano @jskim8223 @AnnaPodolanczuk @PFFORG @ATS_Assemblies @3LakesPartners Beware risk of #overtreatment.
1) Most ILAs don’t progress (depending on ILA definition)
2) long term (10yrs) safety of antifibrotics therapy unknown.
3) Screeing should be trialled NOT rolled out as no evidence YET that early Dx leads to improved outcomes. #LeadTimeBias
"What #Cancer #Screening #Statistics Really Tell Us"
✔#LengthBias
✔#LeadTimeBias
✔#overdiagnosis
@NCICancerTrials @NIH #bias
#Statistics on #cancer #screening
You see these ads with numbers like '5-year survival changes from 10% to 90% if you're screened'
But what you want to ask is: 'What's my chance of dying [from the disease] if I'm screened or if I'm not screened?'
@NIH https://t.co/VSO1oNIYIr
![Vilavaite's tweet photo. #Statistics on #cancer #screening
You see these ads with numbers like '5-year survival changes from 10% to 90% if you're screened'
But what you want to ask is: 'What's my chance of dying [from the disease] if I'm screened or if I'm not screened?'
@NIH https://t.co/VSO1oNIYIr https://t.co/9XA0TG8Tt5](https://pbs.twimg.com/media/D39z8XPW0AAY7db.jpg)
![Vilavaite's tweet photo. #Statistics on #cancer #screening
You see these ads with numbers like '5-year survival changes from 10% to 90% if you're screened'
But what you want to ask is: 'What's my chance of dying [from the disease] if I'm screened or if I'm not screened?'
@NIH https://t.co/VSO1oNIYIr https://t.co/9XA0TG8Tt5](https://pbs.twimg.com/media/D39z8LTW4AAbaxB.jpg)
@MBirty @DavidGWrigley @HealthFdn Earlier diagnosis doesn’t always mean you’ll live any longer just longer with cancer #leadtimebias
We will need more SEER-Medicare analysts to accomplish a R01 about 6 different cancer types! #cancer #survivors #priorcancer #leadtimebias #competingrisks #clinicaltrials #policyrelevant @docamitgs @ShaalanBeg
https://t.co/VuG9UsJtyh
@venkmurthy @bobnease @rwyeh Just think of the thousands of people who will be "Afib survivors", going 30+ years without a clinical event. It'll be a miracle ;) lives will truly be saved. #leadtimebias
Cont....@TooMuchMed ▶️ #TMM
Cont....Steven Woloshin @GeiselMed
MT @IlonaAutti S. Woloshin: The challenges of the demonstration of the effectiveness of #screening and the crucial importance of the lead time ––
#LeadTimeBias
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