Heme Review
Heme Review

Heme Review

Chubbyemu

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The official podcast of Chubbyemu. Heme Review is a podcast about case reports in medicine. Each episode will tell a patient’s story, while teaching about the pathogenesis of disease, the treatment modalities and the dilemmas that arise during their care.

Recent Episodes

The Physiology of RFK Jr.'s Blue Dye
AUG 1, 2025
The Physiology of RFK Jr.'s Blue Dye
Collaborator: Dr Katherine JohnsIf you don't need to put it in your body, don't put it in your body.These cases are patients who I, or my colleagues have seen. They are de-identified and many instances have been presented in more depth in an academic setting. These videos are not individual medical advice and are for general educational purposes only. I do not give medical advice over the internet.References:A family cluster of nitrite poisoning, Suzhou City, 2013. Western Pac Surveill Response J. 2013 Jul 30;4(3):33-6. https://pmc.ncbi.nlm.nih.gov/articles/PMC3854094/Human safety controversies surrounding nitrate and nitrite in the diet. https://pubmed.ncbi.nlm.nih.gov/22487433/A mitochondrial superoxide theory for oxidative stress diseases and aging. https://pmc.ncbi.nlm.nih.gov/articles/PMC4306659/Proposed mechanism of nitrite-induced methemoglobinemia. https://pubmed.ncbi.nlm.nih.gov/15892615/Methylene Blue. https://www.ncbi.nlm.nih.gov/books/NBK557593/Methemoglobinemia. https://www.ncbi.nlm.nih.gov/books/NBK537317/Methylene Blue in Goldfrank's ToxicologyPriapism. https://www.ncbi.nlm.nih.gov/books/NBK459178/Methylene blue as a means of treatment for priapism caused by intracavernous injection to combat erectile dysfunction. https://pubmed.ncbi.nlm.nih.gov/15198160/Pharmacologically-induced Recreational Priapism: Case Report and Review. https://pmc.ncbi.nlm.nih.gov/articles/PMC7676772/PharmGKB summary very important pharmacogene information for G6PD. https://journals.lww.com/jpharmacogenetics/citation/2012/03000/pharmgkb_summary__very_important_pharmacogene.8.aspxThe Methylene Blue Baby. N Engl J Med 1989;320:1756-1757. Methylene blue as an antidote for poisoning. J Lab Clin Med. 1933;19:166–71.Methylene blue for distributive shock: a potential new use of an old antidote. J Med Toxicol. 2013;9:242–9.A review of methylene blue treatment for cardiovascular collapse. J Emerg Med. 2014;46:670–9.The role of monoamine oxidase inhibitors in depression treatment guidelines. https://pubmed.ncbi.nlm.nih.gov/22951237/FDA to Revoke Authorization for the Use of Red No. 3 in Food and Ingested Drugs. https://www.fda.gov/food/hfp-constituent-updates/fda-revoke-authorization-use-red-no-3-food-and-ingested-drugsMethylene Blue in the Treatment of Poisonings Associated with Methemoglobinemia. https://www.nejm.org/doi/abs/10.1056/NEJM193306012082205Lawmakers Press Amazon on Sales of Chemical. https://www.nytimes.com/2022/02/04/technology/amazon-suicide-poison-preservative.html
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25 MIN
The More Data You Have, The Further You Are From The Truth- Big Data Paradox in Medicine
MAY 16, 2023
The More Data You Have, The Further You Are From The Truth- Big Data Paradox in Medicine
Dr Pavlos Msaouel: https://faculty.mdanderson.org/profiles/pavlos_msaouel.html 0:00 Pretext and context MD Anderson Cancer Center 1:42 The Early Experiences That Shaped Dr Msaouel 3:39 The System of Cancer Research In the United States 5:25 FDA Drug Approvals and Special Designations For Oncology 11:09 A trade-off in our current system 12:35 Whoops 😞 I misspoke 14:35 Randomized trials are not supposed to be representative of a population 18:10 Inference for the treatment of Katie Coleman (metastatic oncocytoma) 25:12 It is much more valuable to refute hypotheses than to confirm them 28:05 All Models Are Wrong, But Some Are Useful 30:05 Recasting the Bias-Variance Trade-off as the Patient Relevance-Robustness Trade-off 33:38 High Relevance, Low Robustness: Subjective Bayes 34:46 High Robustness, Low Relevance: Pure Randomization 41:47 Signal To Noise Ratio 45:49 The Big Data Paradox 53:41 How the Big Data Paradox fits in with Katie Coleman's case 54:33 How the Big Data Paradox fits in with other branches of medicine 57:54 How do we rectify subjectivity in The Truth? 01:00:43 How do we address the problems introduced by the Big Data Paradox? 01:04:21 Duality in nature and a Twitter argument re: the Evidence-Based Deep Medicine Iceberg 01:07:03 Why the ideas coming from MD Anderson are coming from MD Anderson 01:09:39 Where you can find Dr Msaouel Dr Msaouel: https://twitter.com/PavlosMsaouel Heme Review: https://twitter.com/HemeReview Produced by ⁠ @chubbyemu ⁠ Production Assistant: Nick Brown Secret channel:  @BigEmus  Cancer Patient Speaks With Her Oncologist ► https://youtu.be/Nddft_nc3Yc A Woman Had A Headache Lasting 3 Days (Katie's case) ► https://www.youtu.be/i9fLEvgZzRE References: Stephen Senn. Statistical Issues in Drug Development. Why representativeness should be avoided. https://academic.oup.com/ije/article/42/4/1012/656034 Commentary: Representativeness is usually not necessary and often should be avoided. https://academic.oup.com/ije/article/42/4/1018/658638 Impervious to Randomness: Confounding and Selection Biases in Randomized Clinical Trials. https://www.tandfonline.com/doi/full/10.1080/07357907.2021.1974030 A Causal Framework for Making Individualized Treatment Decisions in Oncology. https://www.mdpi.com/2072-6694/14/16/3923 Causal Diagram Techniques for Urologic Oncology Research. https://www.sciencedirect.com/science/article/pii/S1558767320301932 Causal inference and the data-fusion problem. https://www.pnas.org/doi/10.1073/pnas.1510507113 Causal Inference: What If. Miguel A Hernán and James M. Robins. https://www.hsph.harvard.edu/miguel-hernan/wp-content/uploads/sites/1268/2023/04/hernanrobins_WhatIf_31mar23.pdf There is Individualized Treatment. Why Not Individualized Inference? https://arxiv.org/abs/1510.08539 Unrepresentative big surveys significantly overestimated US vaccine uptake. https://www.nature.com/articles/s41586-021-04198-4 Unrepresentative Big Surveys Significantly Overestimate US Uptake https://arxiv.org/pdf/2106.05818.pdf Statistical Modeling: The Three Cultures. https://hdsr.mitpress.mit.edu/pub/uo4hjcx6/release/1 How “centaur AI” will radically reshape the future of healthcare. https://bigthink.com/health/how-centaur-ai-will-radically-reshape-the-future-of-healthcare/
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70 MIN