This @NEJM paper really puzzled me and I wonder what I am missing. It addresses good question…should people on antidepressants in primary care, who are doing well, discontinue them? And good methods, randomized, double-blind trial treated in the UK. But… nejm.org/doi/full/10.10…
@NEJM They randomize 478 people w/at least 2 depressive episodes and w/ at least 2 years of treatment with antidepressant agents. They discontinue in half (after a taper) and replace with placebo. Primary outcome is relapse of depressive symptoms. OK, good so far. But...
@NEJM At a year, relapse occurred in 39% of those continuing antidepressants and 56% in the discontinuation group. Now that means that 44% of those who discontinued did fine. That seems really good - and a chance many would take. And that continuing still had a horrific relapse rate.
@NEJM So the trial essentially showed that only 17% of the people avoid a relapse by continuing… about 1 in 6. Mostly you would have the same outcome whether you continued the antidepressants or not. With those odds some may choose to continue, others not. But...
@NEJM But article’s conclusion stated starkly those assigned to stop their med had a higher risk of relapse. While that is a true statement it seems to miss the major point. And probably would point those doctors who read it quickly to think that they should not discontinue these meds.
@NEJM Not sure if I am missing something here… but the message to me is quite different than the conclusion in @nejm. It can be a sig difference in favor of continuing, but that might not be the main inference for practice, esp given that many will prefer not to take meds.

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More from @hmkyale

4 Oct
Our paper dropped: Performance Metrics for Comparative Analysis of Clinical Risk Prediction Models Employing Machine Learning. We show 'commonly reported metrics may not have sufficient sensitivity to identify improvement of
#ML models…’ @CircOutcomes ahajournals.org/doi/abs/10.116…
@CircOutcomes Risk models are ubiquitous now. In this paper, we 'propose the use of a comprehensive list of performance metrics for reporting and comparing clinical risk prediction models.’ Time to expand the metrics. @CircOutcomes ahajournals.org/doi/abs/10.116… @YaleMed @YaleCardiology @AHAScience
@CircOutcomes @YaleMed @YaleCardiology @AHAScience We review a wide range of options for assessing the performance of risk models and demonstrate the neccessity of a comprehensive view in any evaluation. Paper was led by Chenxi Huang. Also with @jbmortazavi; SL Normand; @jspertus @CesarCaraballoC @Dr_BowTie65 @DrJRums
Read 6 tweets
28 Sep
"The @PCORI Board’s approval of $61.3 million will enable eight PCORnet CRNs to optimize their infrastructure resources and capacities to support PCORnet in its third phase." What is the total spent on PCORnet to date? What are the deliverables to date? pcori.org/news-release/p… Image
@PCORI And asking w/respect, just think the accounting of resources spent & deliverables provided is good hygiene for funders. And what resources from the effort are publicly available for others to leverage? Since this is such a big investment, regular reports on ROI is useful. @PCORI
@PCORI And this might be available, I just didn’t know where to look. By the way, similarly with @NIH, who previously reported that almost half of their funded trials were never published. Quarterly reports on trial funding and deliverables (results reported), for example, also great.
Read 4 tweets
30 Aug
With much talk about wearables & devices picking up unappreciated atrial fibrillation, I was intrigued by this randomized trial of effect of an implantable loop recorder to detect afib on outcomes. These slides are from #ESCCongress presentation. Kudos Jesper Svendsen and team. Image
The team identified participants with a high risk of stroke and randomized them to an implantable loop recorder (Reveal LINQ by Medtronic), with a primary outcome of stroke or systemic embolism. Question: would better detection of afib improve outcomes? Image
They randomized 1:3 - so most people were in the control group. 1501 randomized to the implantable recorder (and 1420 received it, that will be important later) and 4503 in the control group (and none crossed over and received the recorder). They followed them for median 65 mos. Image
Read 18 tweets
27 Aug
CardioMEMS. Expensive, invasive device. Initial trial contaminated. FDA approves & it sells. Definitive trial now completed yrs later. No sig benefit. However, authors, look only at pre-COVID results, claim benefit, conclude it's worthwhile. #ESCcongress thelancet.com/action/showPdf…
Authors write: 'In conclusion, haemodynamic-guided management
across spectrum of ejection fraction & symptom severity was safe but did not reduce a composite of mortality and total heart failure events.” This seems very straightforward. We should stop using it. #ESCCongress2021
Then they say… "in a pre-COVID-19 analysis, a benefit of haemodynamic-guided management on the primary outcome, driven by a decrease in heart failure hospitalisations, was shown… supporting benefits of haemodynamic-guided management in patients with chronic heart failure."
Read 7 tweets
27 Aug
Remarkable win streak for SGLT2i drugs continues…now specifically for heart failure with preserved ejection fraction (HFpEF), where effective therapies are scarce. Empagloflozin benefits one of every ~30 people treated over median of 26 mos. nejm.org/doi/full/10.10… #ESCCongress
What gives me confidence about the finding is it is consistent w/what we have seen in subgroups of other studies, but not yet in a dedicated trial. Kudos @JavedButler1 Stefan Anker and team. This is truly a landmark in heart failure care. #ESCCongress2021 #ESCcongress @escardio
@JavedButler1 @escardio Another notable about this EMPEROR-Preserved trial… empaglifozin won across a range of outcomes, across all the subgroups (incl people w/o diabetes), and w/o evidence of safety issues (more serious safety issues in the placebo group). Very welcome set of findings. #ESCcongress
Read 6 tweets
19 Aug
Illuminating the disparities… "During COVID-19, Black & AI/AN persons had highest excess all-cause mortality IRs among <25yrs & 25–64 years; among ≥65 yrs, largest excess mortality occurred among Black & Hispanic persons.” @CDCgov @jeremyfaust @YaleMed cdc.gov/mmwr/volumes/7… Image
@CDCgov @jeremyfaust @YaleMed We learned a lot in researching this study…using the metric we pioneered (I credit @YNHH CORE team and @jeremyfaust) we show: 'Black persons had highest excess mortality IR among <25 yrs with 14.1 excess deaths per 100,000 person-years in 2020, followed by AI/AN persons (6.5)."
@CDCgov @jeremyfaust @YaleMed @YNHH Also, "Among adults aged 25–64 years, the highest total excess mortality IR was among AI/AN persons (221.1), followed by Black (133.4), NH/PI (124.9), Hispanic (98.5), White (51.2) and Asian persons (30.2).” These differences are huge and demand our attention.
Read 7 tweets

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