Plenary from @michaelmina_lab at #SER2022.
Testing is not just a medical tool! Most of the discussion of testing is focused on medical diagnostics but testing is a public health tool. We need to start thinking/evaluating testing as a population health tool.
Applications of tests for public health? test to isolate; test to exit isolation; test to enter/stay; test to go; contact tracing. Medical testing is for patient; testing for public health is for others.
Conflating what are medical vs public health tools is a major problem. Priority for medical tests (FDA's priority): high sensitivity. Secondary considerations: cost and speed. For public health, we need to prioritize fast, frequent, accessibility, affordability over sensitivity.
Sensitivity not as important for public health because change in viral load is fast and most transmission occurs in periods of very high viral load. A result that takes 10 days to return is almost useless for public health.
For screening for school or work entry, using an 80% sensitivity test w/ 15 min turnaround is WAY better for public health than 100% sensitivity with 2 day turnaround. Yet time TO THIS DAY has not been incorporated into regulation of tests.
Extraordinary- we *still* don't have a way to regulate public health tests - they are all regulated like medical tests. FDA priorities are still all about sensitivity.
A test should NOT be a choice between equitable access vs public health surveillance. We can have monitoring that is 24/7 on demand.
This was a very insight-packed talk. Thanks @michaelmina_lab. Next up on the society for epidemiologic research plenary session @zeynep...

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Maria Glymour

Maria Glymour Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @MariaGlymour

Jun 15
Plenary at #SER2022 with @zeynep re aspects of human behavior that were not adequately incorporated into pandemic response. This is a very dense talk w/o slides so livetweet is a bit bumpy... but talk was super interesting so I did my best.
For example, because of stigma, it doesn't make sense/isn't possible to have effective rules that only sick people wear masks.
Idea that masking or testing would make people 'reckless' just didn't make any sense and inconsistent w/ prior research.
Read 11 tweets
Nov 18, 2021
Dr. @MadhavThambiset From Mechanisms to Medicines: realizing the DREAM of an AD Cure
Today's @melodem_group talk!
Outline:
1. why we've failed to find cures for AD.
2. Establishing a pipeline for id'ing drug targets w/ systems biology (APOE-signature, PREVENT AD based on candidate drugs in mouse models, and the DREAM study, real world analyses of pharmacotherapies)
Reminder is that it's been more than 100 years since Alzheimer described the key pathologic features. Year on year publications on AD have grown - now>1000 pubs/month! Yet shockingly little to offer patients.
Read 19 tweets
Nov 15, 2021
Capstone of @UCSF_Epibiostat Sampling Knowledge Hub series with @EpidByDesign talking about generalizability and transportability in research.
Two issues in interpreting an intent-to-treat estimate as a public health. 1. Internal vs external validity (difference between the study sample and people in general) and 2. Exposures vs population interventions (not everyone in real world will take up intervention).
Causal Impact epi approaches for a public health of consequence: pubmed.ncbi.nlm.nih.gov/27153017/
Read 21 tweets
Oct 9, 2021
Thread about @manlyepic & my @jamaneuro commentary re one especially shameful aspect of the FDA approval of #aduhelm. Before working w/ @manlyepic on this, I knew it was bad, but I didn’t know how bad. doi:10.1001/jamaneurol.2021.3404 1/27
In @Biogen’s FDA filing, only 0.6% (ie 19 people) of 3285 trial participants identified as Black, 3% as Hispanic, 0.03% (1 person) American Indian or Alaska Native, and 0.03% as Native Hawaiian or Pacific Islander. Of 9% identified as Asian, 94% were recruited in Asia. 2/n
But it gets even worse: of those 19 Black participants, most were randomly assigned to control or low-dose treatment arms. FDA approved a medication with known increases in risk for brain bleeding after only 6 Black people had received the approve dose. How is that okay? 3/n
Read 36 tweets
Apr 9, 2021
Really excited for Dr. Patrick Ball of @hrdag's talk. His background is quantitative analysis for evaluating human rights violations, e.g., for truth commissions. @UCSF_Epibiostat #SamplingKnowledgeHub #epitwitter
This guy's incredible. Silicon valley background- made software to help people safely document human rights violations. Started in 1991, when a grad student at @UMich soc and demography. Struggled after seeing what was happening in Guatemala and El Salvador- many crimes.
Adopted as personal motivation defense of human rights. In El Salvador, began non-violent accompaniment: accompany someone who is under threat of violence, eg a religious leader. You are 'noisy' & use privilege to try to protect, w/ camera, passport, & home country network
Read 43 tweets
Dec 4, 2020
Rohit Vashish from @UCSF_BCHSIt presenting at @UCSF_Epibiostat department meeting about using electronic health record (EHR) data to emulate target trials to understand treatment effects for chronic disease management, example with type II diabetes
Beautiful explanation of the data gap: there is just no way to have good head-to-head RCTs of all the important medication decisions for all of the important potential outcomes (retinopathy, acute CVD event, etc). We must use "real world data", e.g. EHR data.
7 simple steps!
Read 18 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us on Twitter!

:(