Ana Szarfman, MD, PhD
Senior Medical Officer & Safety Data Mining Developer, FDA CDER
Co-developer of FDA's data mining system; advocated for the RGPS method during COVID-19 vaccine safety surveillance.
Timeline appearances (38)
- analysis
Niu emails Anderson about a meeting with Szarfman to discuss new methods for data mining.
- analysis
Szarfman organizes a virtual meeting on a new safety data mining methodology designed by DuMouchel.
- analysis
Menschik and Baer exchange about classic data mining references written by Szarfman and DuMouchel.
- analysis
Szarfman raises COVID-19 vaccine safety monitoring concerns with CBER Director Marks.
- analysis
Szarfman presents RGPS to Marks and other CBER officials, calling MGPS not state of the art.
- internal
Szarfman confirms she has access to VAERS data through Oracle's Empirica.
- internal
Zinderman tells Baer he has no issue with Szarfman's VAERS access through Empirica.
- internal
Baer questions Szarfman's COVID vaccine data mining; Zinderman cautions against blocking access.
- internal
Baer acknowledges Szarfman knows more about data mining but characterizes her comments as atypical.
- internal
Niu writes Baer that she and Zinderman will meet with Szarfman about her VAERS objectives.
- analysis
Szarfman shares DuMouchel's RGPS analysis showing 49 examples of extreme masking with senior FDA officials.
- analysis
DuMouchel sends analysis adjusting for the fact that 99% of 2021 VAERS reports are for COVID-19 vaccines.
- analysis
Niu asks whether DuMouchel's findings affect 2021 data mining results; Szarfman confirms they do.
- analysis
Niu forwards DuMouchel's analysis to Zinderman without Szarfman; Zinderman flags it as worth considering.
- internal
Baer welcomes DuMouchel's input; Menschik pushes back on reaching out to Szarfman directly.
- analysis
Szarfman shares DuMouchel's RGPS analysis revealing six new statistically significant safety signals.
- internal
Baer reports to colleagues that Szarfman offered to show Commonwealth her VAERS analysis; Niu distances herself.
- internal
Szarfman resends RGPS analysis flagging cardiac signals; Niu tells her CBER cannot collaborate.
- internal
Szarfman shares an EB data mining analysis; Niu confirms to Menschik she is not collaborating.
- analysis
Szarfman circulates analysis showing MGPS undervalued acute myocardial infarction signals for Pfizer and Moderna.
- internal
Zinderman directs Szarfman to hold off on creating COVID-19 vaccine data mining reports and analyses.
- publication
Szarfman receives clearance from Stockbridge to publish her paper on masking and RGPS.
- analysis
Szarfman resends RGPS analysis on acute myocardial infarction and invites Forshee to collaborate.
- analysis
Szarfman calls Forshee to discuss increased risk of mortality following COVID-19 vaccination.
- analysis
Szarfman writes Forshee that RGPS shows statistically significant mortality signals for Pfizer and Moderna vaccines.
- internal
Forshee forwards Szarfman's mortality findings to Marks, expressing concern about her interpretation.
- internal
Szarfman tells Commonwealth contractor that the 20-year-old MGPS model could potentially mask signals.
- analysis
Szarfman clarifies masking concerns to Commonwealth and reiterates RGPS advantages over MGPS.
- internal
Menschik tells Szarfman that VAERS data mining is CBER's responsibility and discussions must stay in chain of command.
- internal
Anderson asks Marks that Szarfman refrain from using FDA email or communicating findings using CBER VAERS data.
- internal
Marks tells Cavazzoni that Szarfman has been asked to cease and desist on her vaccine analysis.
- publication
Menschik shares draft article language with CDC's Su that echoes Szarfman's masking concerns without crediting her.
- publication
Walinsky circulates Szarfman's preprint to FDA officials weighing Moderna's pediatric COVID-19 vaccine appeal.
- publication
Szarfman, DuMouchel, and co-authors publish 'Signaling COVID-19 Vaccine Adverse Events' in Drug Safety.
- publication
Szarfman emails her unmasking paper to Commissioner Califf, who replies, 'Thanks. These are good.'
- publication
Forshee notifies Marks and Anderson that FDA officials are addressing issues with Szarfman's published paper.
- internal
FDA officials discuss the masking effect three years after Szarfman raised it; Baer points to her published paper.
- analysis
Baer tells Menschik RGPS yields significantly higher signals than MGPS; Menschik concurs but prefers to keep MGPS.
Quotes (15)
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"the 20-year-old MGPS model could potentially mask signals."
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"49 examples of extreme masking"
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"a method that automatically unmask[s] signals that remain hidden by other data mining methodologies, including MGPS [FDA's current data mining method abbreviated for Multi-item Gamma Poisson Shrinker]."
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"Note the safety signals for cardiac events with the Pfizer and Moderna vaccines, now in the news, that are better identified by RGPS than by MGPS."
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"demonstrates the potential utility of a new signal detection methodology called RGPS that can address masking and confounding effects that cannot be properly controlled by conventional signaling methodologies."
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"Note that the ER05 signals of RPGS are higher than the EB05 signals of MGPS."
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"the background will only be for covid-19 vaccines, instead of for other vaccines. Therefore, masking covid-19 vaccine signals that are common with these vaccines, but not common across other types of vaccines."
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"is roughly eight times more likely to occur with COVID-19 vaccines than with other vaccines."
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"signals for a vaccine of interest are hidden by the presence of other reported vaccines. This masking effect may in turn limit or delay our understanding of the risks associated with new and established vaccines."
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"I am not astonished that [FDA's data mining system] was unable to detect these signals."
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"RGPS is much, much better at unmasking signals than MGPS. It automatically identifies and corrects for confounders. This is an important function to have, given the pandemic situation."
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"RGPS is the state of the art"
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"safety signals may remain hidden"
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"This is a method that also strongly reduces confounding"
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"especially in the capacity to unmask hidden signals"