The world biggest terrorist organisation, the US government, have followed the lead given to them by mainstream media and are now terrorising as many people as possible. When scared the sheep look to their masters for protection, even when they reach the abattoir. More here;
Excellent article, I probably wouldn't have understood so deeply without this exercise I'm going through. At least in my wide net PRR Analysis and observation I noticed there were ~150 symptoms variation between LLT & PT and like Heavy Menstrual Bleeding. In my downloadable excel sheet I have a list of which ~150 those are for this SOC, but you probably know already. I appreciate your, "allows complex targeted queries to be generated by combining topics from the different categories from different levels." That's powerful and like an example Uterine Cancer that appears under the neoplasms and reproduction disorders SOC. Dr. Rubin said the full MedDRA list or tree is proprietary, but explained the process his data goes through to get uploaded into MedAlerts. But 80,000? wow! is that more than ICD-10? I thought ICD-10 had about ~75K I'm sure many ICD's have been added since 2015 year 1. ICD's used to be my schtick, that and Correct Coding Initiatives (CCI) and ANSI 5010 loops and segments. This site was one of my go to's: https://wpc-edi.com/ and https://www.iceforhealth.org/library.asp
I did similar analyses for a number of broad disease areas, and posted them as Op-eds on TSN. Here is the link (https://www.trialsitenews.com/p/ronald_kostoff). They are listed in inverse chronological order. These studies start at 28 March and go back to 12 February. Not all queries are the same type. Some are regular text queries; others are MEDdra term intersection queries. The bottom line is that irrespective of which specific query is used, the numbers of SAEs are huge.
Thank you Doctor! I hope work/analysis passes the sniff test. I made my work available via the download buttons on my website. MedAlerts PRR functionality is a great tool!
The world biggest terrorist organisation, the US government, have followed the lead given to them by mainstream media and are now terrorising as many people as possible. When scared the sheep look to their masters for protection, even when they reach the abattoir. More here;
https://wakeuppeople.substack.com/p/forever-wars-are-highly-profitable
See Appendix 2 of the following document (https://www.trialsitenews.com/a/what-is-the-spectrum-of-vaccine-induced-adverse-reproductive-pregnancy-events-54c74757). Lays out reproductive/breast disorders in VAERS based on MEDdra structure.
Excellent article, I probably wouldn't have understood so deeply without this exercise I'm going through. At least in my wide net PRR Analysis and observation I noticed there were ~150 symptoms variation between LLT & PT and like Heavy Menstrual Bleeding. In my downloadable excel sheet I have a list of which ~150 those are for this SOC, but you probably know already. I appreciate your, "allows complex targeted queries to be generated by combining topics from the different categories from different levels." That's powerful and like an example Uterine Cancer that appears under the neoplasms and reproduction disorders SOC. Dr. Rubin said the full MedDRA list or tree is proprietary, but explained the process his data goes through to get uploaded into MedAlerts. But 80,000? wow! is that more than ICD-10? I thought ICD-10 had about ~75K I'm sure many ICD's have been added since 2015 year 1. ICD's used to be my schtick, that and Correct Coding Initiatives (CCI) and ANSI 5010 loops and segments. This site was one of my go to's: https://wpc-edi.com/ and https://www.iceforhealth.org/library.asp
I did similar analyses for a number of broad disease areas, and posted them as Op-eds on TSN. Here is the link (https://www.trialsitenews.com/p/ronald_kostoff). They are listed in inverse chronological order. These studies start at 28 March and go back to 12 February. Not all queries are the same type. Some are regular text queries; others are MEDdra term intersection queries. The bottom line is that irrespective of which specific query is used, the numbers of SAEs are huge.
Thank you Doctor! I hope work/analysis passes the sniff test. I made my work available via the download buttons on my website. MedAlerts PRR functionality is a great tool!
Typos: it’s HLGT higher leveled grouping terms, not HGLT (nitpicking!)
Yikes! Thank you. Fixed. I'm not good with letters, better with numbers. lol