Journal-Clubbing Our Way Through Internal Medicine
Do you also find it hard to follow the medical literature?
Newsletters with tables of contents are hard to get through after having written all your notes and maybe having done a chart dissection.
Welcome to IM Journal Club!
Our mission: to guide you through some of the most interesting internal medicine studies published in the last few weeks and months that you WOULD have liked to or SHOULD have heard about
Target groups: physicians and other clinicians in general internal or family medicine – hospital medicine and primary care – or in an internal medicine subspecialty; biostatisticians, epidemiologists, or data scientists; journal club enthusiasts!
Hidden agenda: to shed some lights on the studies’ methods AND on the context (what was known before, how do the new results change things – so what does this all mean?). We will give you episodes with primers on particularly difficult methods.
We will come out with a new episode every one to two weeks - we'll upload early on Fridays - so you can listen on your commute or on the weekend.
Please subscribe in your favorite podcast app or to our YouTube channel .
Please let us know what we can do better, or what new study we could cover: You can leave a review in your podcasting app, a comment on YouTube, or drop us a line at hello@imjournalclub.com
We are also on social; our email newsletter will be on Twitter: https://twitter.com/IMJournalClub
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Show Credits
Host: Ben Geisler
Video editor: Fernando Tábora
Methods consultant: Professor Ulrich Mansmann
Advisory group (current): Bijay Acharya, Chang-Berm Kang, Jeffrey L. Greenwald, Jonathan W. Heflin, Kathy May Tran, Marcel Müller, Rahul Ganatra, and Warren Chuang
Supported by LMU Munich’s Institute for Epidemiology, Biometry, and Medical Information Processing
Hosted on Acast. See acast.com/privacy for more information.
Journal-Clubbing Our Way Through Internal Medicine
Do you also find it hard to follow the medical literature?
Newsletters with tables of contents are hard to get through after having written all your notes and maybe having done a chart dissection.
Welcome to IM Journal Club!
Our mission: to guide you through some of the most interesting internal medicine studies published in the last few weeks and months that you WOULD have liked to or SHOULD have heard about
Target groups: physicians and other clinicians in general internal or family medicine – hospital medicine and primary care – or in an internal medicine subspecialty; biostatisticians, epidemiologists, or data scientists; journal club enthusiasts!
Hidden agenda: to shed some lights on the studies’ methods AND on the context (what was known before, how do the new results change things – so what does this all mean?). We will give you episodes with primers on particularly difficult methods.
We will come out with a new episode every one to two weeks - we'll upload early on Fridays - so you can listen on your commute or on the weekend.
Please subscribe in your favorite podcast app or to our YouTube channel .
Please let us know what we can do better, or what new study we could cover: You can leave a review in your podcasting app, a comment on YouTube, or drop us a line at hello@imjournalclub.com
We are also on social; our email newsletter will be on Twitter: https://twitter.com/IMJournalClub
---
Show Credits
Host: Ben Geisler
Video editor: Fernando Tábora
Methods consultant: Professor Ulrich Mansmann
Advisory group (current): Bijay Acharya, Chang-Berm Kang, Jeffrey L. Greenwald, Jonathan W. Heflin, Kathy May Tran, Marcel Müller, Rahul Ganatra, and Warren Chuang
Supported by LMU Munich’s Institute for Epidemiology, Biometry, and Medical Information Processing
Hosted on Acast. See acast.com/privacy for more information.
After a hiatus over the summer, IM Journal Club is back! Today’s topic might be both very familiar but also somewhat mysterious to all who treat patients in hospitals: deep vein thrombosis (DVT) prophylaxis with subcutaneous injections (daily or more frequent shots). A new network meta-analysis with one slightly different endpoint was published a few months ago in the BMJ – will it end up changing everything?
Our guest speaker couldn’t be more qualified to talk about the new DVT study. Dr. Anthony C. Breu is a Hospitalist at the VA in Boston and an Assistant Professor at Harvard Medical School. He became well known in the med ed community for his tutorials on Twitter ("tweetorials") and for co-editing the Journal for Hospital Medicine’s Things We Do For No Reason series. Together with Drs. Hannah Abrams and Avraham Cooper, he hosts the Curious Clinicians Podcast where he asks "why" a lot.
0:00 Intro
0:34 Plugs
1:10 Why Should Clinicians be Curious?
2:31 Today's Study
22:30 Ben's Take-aways and Outro
References:
-Dr. Breu’s Twitter: https://twitter.com/tony_breu
-Tweetorial on κ/λ ratio in end-stage renal disease: https://twitter.com/tony_breu/status/1572231208599277568
-The Curious Clinicians. A Medical Podcast that asks “Why”? https://curiousclinicians.com/
-RJ Eck, T Elling, AJ Sutton et al. Anticoagulants for thrombosis prophylaxis in acutely ill patients admitted to hospital: systematic review and network meta-analysis. BMJ 2022;378:e070022 https://www.bmj.com/content/378/bmj-2022-070022
-Things We Do For No Reason series: https://twitter.com/twdfnr
Risk stratification tools:
- Check your electronic health record (EHR) system and consider using the built-in system (if there is one)
- S Barbar et al: A risk assessment model for the identification of hospitalized medical patients at risk for venous thromboembolism: the Padua Prediction Score. J Thromb Haemost . 2010 Nov;8(11):2450-7 https://pubmed.ncbi.nlm.nih.gov/20738765/
-M Vardi et al: Venous thromboembolism and the utility of the Padua Prediction Score in patients with sepsis admitted to internal medicine departments. J Thromb Haemost. 2013 Mar;11(3):467-73. https://pubmed.ncbi.nlm.nih.gov/23279085/
-Calculator for the Padua Prediction Score for Risk of VTE: https://www.mdcalc.com/calc/2023/padua-prediction-score-risk-vte
- P Chopard, D Spirk, H Bounameaux: Identifying acutely ill medical patients requiring thromboprophylaxis. J Thromb Haemost. 2006 Apr;4(4):915-6. https://pubmed.ncbi.nlm.nih.gov/16634771/
-M Nendaz et al.: Multicentre validation of the Geneva Risk Score for hospitalised medical patients at risk of venous thromboembolism. Explicit ASsessment of Thromboembolic RIsk and Prophylaxis for Medical PATients in SwitzErland (ESTIMATE). Thromb Haemost. 2014 Mar 3;111(3):531-8. https://pubmed.ncbi.nlm.nih.gov/24226257/
-Calculator for the Geneva Risk Score for Venous Thromboembolism (VTE) Prophylaxis: https://mdcalc.com/calc/10073/geneva-risk-score-venous-thromboembolism-vte-prophylaxis
Hosted on Acast. See acast.com/privacy for more information.