Pfizer/BioNTech C4591001 Trial - Positive PCRs & Symptomatic Subjects

Looking for the positive PCR & Symptomatic subjects through Pfizer/BioNTech's data obfuscations - and uncovering some more major anomalies on the way...

We, once again, thanks Josh Guetzkow1 & Geoff Pain2 , for their precious assistance and key comments, going through this analysis.

Arkmedic (whom you can follow on Substack3 or on Telegram4), Jikkyleaks5, the DailyClout’s team 36 & Abstractor team7, Twitter’s “A Concerned Amyloidosis”8 and bio-statistician Christine Cotton9 have also provided key contributions in deepening our understanding of the Pfizer/BioNTech C4591001 Trial.

We suggest you to follow them, as without any doubt more is coming from these amazing researchers.

Introduction

As our readers are probably tired of reading, the EUA for the Pfizer/BioNTech “vaccines” was granted on the basis of an assumed efficacy of 95%, with a very restrictive criterion of “preventing a positive Sars-Cov-2 PCR, with symptoms, on subjects who hadn’t been confirmed positive at least 7 days post dose 2”.

Getting these products to market was therefore requiring to :

Following a famous Mouse tip that the subjects could very well have been “unblinded” at Pearl-River’s level, by running a simple PCR test on a subject’s sample post injection...


... we verified the symptomatic cases’ data noted page 41 of the FDA memorandum10.

Results

This article goes in detail on how to identify as accurately as possible, given the current sponsor’s data communicated through PHMPT lawsuits:

We highlight below a few more major anomalies (missing subjects from the analysis, subject in the efficacy group without documented symptoms, etc.).

Symptomatic Cases

A "symptomatic case" was defined by the protocol as a subject experiencing at least one of the “official covid-like” symptoms listed11:

• Chills

• Diarrhea

• Fever

• New loss of taste or smell

• New or increased cough

• New or increased muscle pain

• New or increased shortness of breath

• Sore throat

• Vomiting

To these we must add the “secondary endpoints” symptoms, detailed in the same page:

• Fatigue

• Headache

• Nasal congestion or runny nose

• Nausea.

These symptoms were collected in a SAS .XPT file, “S1_M5_c4591001 A D adsympt12.

This file contains 328 439 rows with the variable 'PARCAT1' set to 'SIGNS AND SYMPTOMS OF DISEASE', on 9 025 subjects who reported such symptoms during the trial. Another key variable in this file is “AVISIT”, which keeps track of the occurrences by subjects of “suspected Covid” cases (with the variable set to “COVID_A”, “COVID_B”, etc.). In other words, a subject could have multiple covid visits according to certain criteria specified in the protocol. We are treating each of these distinct COVID visits as a separate "potential COVID case."

At cut-off date of November 14, 2020, symptoms had been registered on 1 872 occurrences (subject-visit(s) reporting symptoms) in the BNT162b2 group, 2 320 occurrences in the Placebo group, and 3 occurrences of unknown group, for a total of 4 195 occurrences. These were reported on 1758 BNT162b2 Subjects, 2196 Placebo subjects, and 3 subjects of unknown randomization group, for a total of 3957 subjects.

Complete list of “symptomatic” cases can be downloaded in this Google Spreadsheet.

Beware a subject may have more than one row of data (each Subject - Reporting date is unique).

Verifying the FDA statement on “suspected but unconfirmed Covid” was then requiring to identify accurately the symptomatic cases which had been confirmed.

Weekly Cumulative Symptomatic Cases by Treatment Arm

The following chart summarizes weekly accrual of symptomatic cases by treatment arms.

PCRs & Positive PCRs.

The SAS .XPT file “S1_M5_c4591001-S-D-mb” contains, among other Hepatitis or HIV tests, the raw results of the PCR tests performed on the subjects.

This file contains the data of 88 425 PCRs, on 43 645 subjects, at cut-off date of November 14, 2020.

Among these, 835 subjects tested positive on 1 037 total positive tests - including one phase 1 subject - which we excluded from further analytics.

We haven’t cared about “efficacy eligibility” here - but exclusively about who had a positive PCR registered or didn’t - and only about phase 3 subjects.

Complete list of the 835 “positive” subjects & their first positive PCR’s date can be downloaded in this Google Spreadsheet.

Complete list of PCR tests & their results can be downloaded in this Google Spreadsheet.

Positive PCRs with Symptoms

In order to be qualified as “positive PCR with symptoms”, the subjects had to accumulate the three conditions of:

Various .PDF files have been provided to “back” these figures. These are the following:

Unfortunately .PDFs are a doubtful source of information as “second hand” exports which already have been through the code of the study authors, and are requiring a lot of manual verification of the conversions to ensure the reliability of the analysis.

Break-down of these 835 subjects, depending on the symptoms reported 3, 4 & 5 days before or after a positive PCR, are summarized below:

Obviously, with the increase of days between symptoms & positive PCRs, the total of “cases accrued” increases - and we have 371 to 376 subjects with a positive PCR & concomitant symptom(s).

Complete list of “positive with symptoms” subjects concerned & their first positive PCR data and symptoms details can be downloaded on this Google Spreadsheet.

Weekly Cumulative PCR-Confirmed Symptomatic Cases, by Treatment Arm

The following chart summarizes weekly accrual of positive PCR & symptomatic cases by treatment arms.

.PDF to Symptomatic Positive PCRs - Subjects cross-check

As a further cross-check of the relevance of our analysis, we verified our results against the 1180 positive cases listed in the .PDF files:

These files contain data on 363 “phase 3” subjects (55 BNT162b2 & 308 Placebo) who had a positive PCR & at least one symptom up to November 14.

Optimal coverage of the cases listed in the .PDF is obtained at +/- 5 days, including “secondary end-point” symptoms, which generates 61 BNT162, 314 Placebos & 1 Unknown randomization group, for a total of 376 subjects.

Subjects documented in the .PDF files while missing in our analysis.

2 Placebo subjects featured in the .PDF (10111148, 10911203) aren’t found in our analysis, even at 15 days, while they are present in the .PDF files:

The two subjects are quite specific, as they are declared positive while having a negative PCR & a positive “repeat central swab 1” (R1) in the 6 months lab measurements file16.

Subjects found via our analysis while missing in the .PDF files.

15 subjects we find as “positive with symptoms” aren’t listed in the .PDF prior to cut-off date (1 unknown, 8 Placebo, 6 BNT162).

Some subjects in this above list (11331263, 12481005 - both BNT162b2 recipients) would have qualified as “PCR positive with symptoms” on the day of their first dose. We verified if this parameter would have been a valid cause for them not to be documented, and several documented cases are fitting that scenario - but as rightfully observed by Josh Guetzkow, they are also systematically tested again, a few days after their first dose:

Note 4 of these 7 specific subjects are coming from Site 1231, led by Fernando Polack, lead author of the Phase 3 study and Coalition for Epidemic Preparedness Innovations (CEPI) member.

Identifying the “suspected but unconfirmed” Covid cases.

At this stage we have at our disposal a list of “suspected covid” visits of subjects reporting symptoms, and we know which “suspected covid” resulted in confirmed cases (minus, of course, the few they have forgotten and which we detailed above).

377 cases of suspected Sars-Cov-2 have been confirmed on the 376 subjects. 3 818 cases (on a total of 4195) haven’t been suspected but unconfirmed; 1811 BNT & 2005 placebo.

Assuming that our data-based settings above are correct (+/- 5 days, official & secondary symptoms), the offsets between the FDA & data figures are the following:

We verified several hypothesis to try to explain this 408 subjects offset (217 BNT, 189 Placebo & 2 unknown).

This brings us to the closest total we found to these FDA figures.

The complete list of these “suspected but unconfirmed cases” - with or without official symptoms - can be downloaded on this Google Spreadsheet.

Being out of ideas to explain this offset without altering the sense of the memorandum text, and being quite accustomed to Pfizer’s synthesis not matching the raw data21, let’s settle on this first 1811 BNT162b2 & 2005 Placebo “suspected but not confirmed” which we can actually back with data, until someone has a bright idea we can test in the comments.


This article re-uses code & data already detailed in the “Methodology Details” of our article “Pfizer/BioNTech Trial - A failed yet in depth attempt to reproduce the NEJM & FDA efficacy figures”22.

The code itself used to parse the various extracts & generated the exports featured here is accessible on GitHub.

This report is part of an ongoing work in progress. As a quite complex task, going through a large clinical trial on which a lot of efforts have been deployed so the public wouldn’t have a clear view, none of its findings should be used without an appropriate in-depth cross-check of the results. We’re always open to discuss our results and to rectify swiftly errors we may have made - and we will withdraw this warning as soon as the code will have been double-checked and will have gone through in depth review on our end.

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phmpt.org/wp-content/uploads/2022/03/125742_S1_M5_5351_c4591001-fa-interim-lab-measurements-sensitive.pdf - 16.2.8.2 Listing of Subjects With First COVID-19 Occurrence From 7 Days After Dose 2 and Without Evidence of Infection Prior to 7 Days After Dose 2 – Evaluable Efficacy (7 Days) Population

openvaet.org/studies/verifying_170_cases?currentLanguage=en