Influenza, HumanNCT05858450
This Study Intends to Describe the Characteristics of Patients Given the Pfizer-BioNTech Bivalent mRNA COVID-19 Vaccine and Any Commercially Available Influenza Vaccines at the Same Time Versus at Different Times.
An observational study of Influenza, Human and COVID-19, run by Pfizer at 1 site in United States.
Trial summary
This study intends to describe the characteristics of patients given the Pfizer-BioNTech bivalent mRNA COVID-19 vaccine and any commercially available influenza vaccines at the same time versus at different times. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Influenza, Human, COVID-19
- What is being tested?
- Comirnaty and Quadrivalent Influenza Vaccine
- Type of treatment
- Vaccines
- How many people
- 3,442,996 participants
- Where
- 1 siteUnited States
- Study dates
- 5 May 2023to 12 May 2023
- Phase
- Observational
- Are there results?
- Yes, posted in the registrySummary in the doctors' view
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: The study population will include adults patients who were enrolled in the Optum Clinformatics Database as of 31 August 2022
Who may be able to join
- Enrolled in Optum claims database as of 31 August 2022 (date bivalent authorized).
- Has a Pfizer-BioNTech mRNA bivalent COVID-19 or influenza vaccine (any type) between 31 August 2022 and 30 January 2023 (earliest vaccine is index date).
- Aged >=18 years on the index date
- 365 days of continuous enrolment prior to index date
Who cannot join
- Patients with a second dose of any type of bivalent mRNA COVID-19 or flu vaccine, disenrolled or died within 14 days following the first dose.
- Has prior COVID-19 diagnosis (U07.1, any setting, any position) within 90 days (per CDC guidance on length of time before receiving a vaccine) before and on index.
- Has influenza vaccine between 01 August -30 August 2022 (before study period).
- Has a COVID-19 or influenza diagnosis code in any setting within 14 days after index vaccination (excluded from all cohorts).
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Investigating Uptake and Subsequent Health Outcomes Associated With Pfizer-BioNTech Bivalent COVID-19/Influenza Vaccine Concomitant Administration Using a Claims-based Real-world Data Source in the US
This study intends to describe the characteristics of patients given the Pfizer-BioNTech bivalent mRNA COVID-19 vaccine and any commercially available influenza vaccines at the same time versus at different times.
- Conditions
- Influenza, Human, COVID-19
- Being tested
- Comirnaty, Quadrivalent Influenza Vaccine
- Medical subject headings
- Influenza, Human, COVID-19
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
ComirnatyBiological
COMIRNATY is an active immunization to prevent COVID-19 caused by SARS-CoV-2 in individuals 12 years of age and older.
Quadrivalent Influenza VaccineBiological
Quadrivalent Influenza Vaccine is a class of vaccines indicated for active immunization for the prevention of influenza disease caused by influenza A subtype viruses and type B viruses contained in the vaccines
| Study group | Role | What they receive |
|---|---|---|
| Same day | Pfizer-BioNTech mRNA bivalent COVID and flu on the same day Receives: Biological: Comirnaty; Biological: Quadrivalent Influenza Vaccine | |
| COVID alone | Pfizer-BioNTech bivalent COVID only Receives: Biological: Comirnaty | |
| flu alone | influenza vaccine of any type only Receives: Biological: Quadrivalent Influenza Vaccine |
What is being measured
The primary outcome is the main question the study is designed to answer.
Number of Participants With All Cause Hospitalization Visits: 18-64 Years Old
Hospitalization due to any cause is defined as an overnight stay, or longer, in a hospital environment (emergency room, observation unit or in-patient care, or similar facility including admission to a day care facility). To account for imbalance in participant characteristics between the vaccine exposure groups, 2 separate logistic regression models were used. The two models were: Model 1: Same day vs COVID-19 alone, and Model 2: Same day vs Flu (SIV) alone.
Measured: From Day 15 of vaccination till end of follow-up observation period, from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
Number of Participants With All Cause Hospitalization Visits: >=65 Years Old
Hospitalization due to any cause is defined as an overnight stay, or longer, in a hospital environment (emergency room, observation unit or in-patient care, or similar facility including admission to a day care facility). To account for imbalance in participant characteristics between the vaccine exposure groups, 2 separate logistic regression models were used. The two models were: Model 1: Same day vs COVID-19 alone, and Model 2: Same day vs SIV alone.
Measured: From Day 15 of vaccination till end of follow-up observation period, from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
Number of Participants With Composite Coronavirus Disease (COVID-19)-Related Hospitalization, Emergency Department or Urgent Care Visits: Same Day Versus COVID-19 Alone
Hospitalization, emergency department or urgent care visits with COVID-19 diagnosis code (International Classification of Diseases, 10th revision [ICD-10-CM]: U07.1) in any position. To account for imbalance in participant characteristics between the vaccine exposure groups, 2 separate logistic regression models were used. The two models were: Model 1: Same day vs COVID-19 alone, and Model 2: Same day vs SIV alone. In this outcome measure data is reported for Model 1: Same day vs COVID-19 alone.
Measured: From Day 15 of vaccination till end of follow-up observation period, from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
Number of Participants With Composite Influenza Related Hospitalization, Emergency Department or Urgent Care Visits: Same Day Versus SIV Alone
Hospitalization, emergency department or urgent care visits with Influenza diagnosis code (ICD-10-CM: J09.X, J10.X, J11.X) in any position. To account for imbalance in participant characteristics between the vaccine exposure groups, 2 separate logistic regression models were used. The two models were: Model 1: Same day vs COVID-19 alone, and Model 2: Same day vs SIV alone. In this outcome measure data is reported for Model 2: Same day vs SIV alone.
Measured: From Day 15 of vaccination till end of follow-up observation period, from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
Number of Participants With COVID-19 Related Outpatient Visits: Same Day Versus COVID-19 Alone
COVID-19 diagnosis code (ICD-10-CM: U07.1) in any position. An outpatient visit refers to any encounter that is in the outpatient setting. To account for imbalance in participant characteristics between the vaccine exposure groups, 2 separate logistic regression models were used. The two models were: Model 1: Same day vs COVID-19 alone, and Model 2: Same day vs SIV alone. In this outcome measure data is reported for Model 1: Same day vs COVID-19 alone.
Measured: From Day 15 of vaccination till end of follow-up observation period, (from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
Number of Participants With Influenza-Related Outpatient Visits: Same Day Versus SIV Alone
Influenza diagnosis code (ICD-10-CM: J09.X, J10.X, J11.X) in any position. An outpatient visit refers to any encounter that is in the outpatient setting. To account for imbalance in participant characteristics between the vaccine exposure groups, 2 separate logistic regression models were used. The two models were: Model 1: Same day vs COVID-19 alone, and Model 2: Same day vs SIV alone. In this outcome measure data is reported for Model 2: Same day vs SIV alone.
Measured: From Day 15 of vaccination till end of follow-up observation period, from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
Number of Participants With COVID-19 Related Hospitalization Visits: Same Day Versus COVID-19 Alone
COVID-19 diagnosis code (ICD-10-CM: U07.1) in any position. To account for imbalance in participant characteristics between the vaccine exposure groups, 2 separate logistic regression models were used. The two models were: Model 1: Same day vs COVID-19 alone, and Model 2: Same day vs SIV alone. In this outcome measure data is reported for Model 1: Same day vs COVID-19 alone.
Measured: From Day 15 of vaccination till end of follow-up observation period, from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
Number of Participants With Influenza Related Hospitalization Visits: Same Day Versus SIV Alone
Influenza diagnosis code (ICD-10-CM: J09.X, J10.X, J11.X) in any position. To account for imbalance in participant characteristics between the vaccine exposure groups, 2 separate logistic regression models were used. The two models were: Model 1: Same day vs COVID-19 alone, and Model 2: Same day vs SIV alone. In this outcome measure data is reported for Model 2: Same day vs SIV alone.
Measured: From Day 15 of vaccination till end of follow-up observation period, (from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
Number of Participants With COVID-19-Related Emergency Department Visits/ Urgent Care Visits: Same Day Versus COVID-19 Alone
COVID-19 diagnosis code (ICD-10-CM: U07.1) in any position. To account for imbalance in participant characteristics between the vaccine exposure groups, 2 separate logistic regression models were used. The two models were: Model 1: Same day vs COVID-19 alone, and Model 2: Same day vs SIV alone. In this outcome measure data is reported for Model 1: Same day vs COVID-19 alone.
Measured: From Day 15 of vaccination till end of follow-up observation period, from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
Number of Participants With Influenza-Related Emergency Department Visits/ Urgent Care Visits: Same Day Versus SIV Alone
Influenza diagnosis code (ICD-10-CM: J09.X, J10.X, J11.X) in any position. To account for imbalance in participant characteristics between the vaccine exposure groups, 2 separate logistic regression models were used. The two models were: Model 1: Same day vs COVID-19 alone, and Model 2: Same day vs SIV alone. In this outcome measure data is reported for Model 2: Same day vs SIV alone.
Measured: From Day 15 of vaccination till end of follow-up observation period, (from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted15 May 2023
- Study start5 May 2023
- Primary completion12 May 2023
- Study completion12 May 2023
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Posted resultsParticipant flow, outcome measures and adverse events reported by the sponsor.
- Other trials for Influenza, HumanStudies of the same condition, open and under way.
- More trials run by PfizerThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Retrospective
- Enrolment
- 3,442,996 participants (actual)
Sponsor and investigators
- Lead sponsor
- Pfizer
- Sponsor type
- Industry (pharma, biotech, devices)
- Responsible party
- Sponsor
- Investigators
- Pfizer CT.gov Call Center, Study director, Pfizer
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05858450
- Sponsor's protocol ID
- C4591061
- Status last verified
- May 2024
- First submitted
- 11 May 2023
- Last updated
- 20 Sep 2024
- Results posted
- Yes, on ClinicalTrials.gov
- Data monitoring committee
- No
- Individual data sharing
- No: Pfizer will provide access to individual de-identified participant data and related study documents (e.g. protocol, Statistical Analysis Plan (SAP), Clinical Study Report (CSR)) upon request from qualified researchers, and subject to certain criteria, conditions, and exceptions. Further details on Pfizer's data sharing criteria and process for requesting access can be found at: https://www.pfizer.com/science/clinical\_trials/trial\_data\_and\_results/data\_requests.
Study at a glance
From the registry record, last updated by the sponsor on 20 Sep 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Investigating Uptake and Subsequent Health Outcomes Associated With Pfizer-BioNTech Bivalent COVID-19/Influenza Vaccine Concomitant Administration Using a Claims-based Real-world Data Source in the US
- ClinicalTrials.gov ID
- NCT05858450
- Acronym / sponsor ID
- C4591061
- Conditions
- Influenza, Human, COVID-19
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 3,442,996 participants (actual)
- Lead sponsor
- PfizerIndustry (pharma, biotech, devices)
- Study start
- 5 May 2023 (actual)
- Primary completion
- 12 May 2023 (actual)
- Study completion
- 12 May 2023 (actual)
- First posted
- 15 May 2023 (actual)
- Results
- Posted 20 Sep 2024
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This study intends to describe the characteristics of patients given the Pfizer-BioNTech bivalent mRNA COVID-19 vaccine and any commercially available influenza vaccines at the same time versus at different times.
Study design
- Observational model
- Cohort
- Time perspective
- Retrospective
- Number of arms
- 3
| Arm | Type | Receives |
|---|---|---|
| Same day | – | Biological: Comirnaty, Biological: Quadrivalent Influenza VaccinePfizer-BioNTech mRNA bivalent COVID and flu on the same day |
| COVID alone | – | Biological: ComirnatyPfizer-BioNTech bivalent COVID only |
| flu alone | – | Biological: Quadrivalent Influenza Vaccineinfluenza vaccine of any type only |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- The study population will include adults patients who were enrolled in the Optum Clinformatics Database as of 31 August 2022
Key inclusion criteria (4 listed)
- Enrolled in Optum claims database as of 31 August 2022 (date bivalent authorized).
- Has a Pfizer-BioNTech mRNA bivalent COVID-19 or influenza vaccine (any type) between 31 August 2022 and 30 January 2023 (earliest vaccine is index date).
- Aged >=18 years on the index date
- 365 days of continuous enrolment prior to index date
Key exclusion criteria (4 listed)
- Patients with a second dose of any type of bivalent mRNA COVID-19 or flu vaccine, disenrolled or died within 14 days following the first dose.
- Has prior COVID-19 diagnosis (U07.1, any setting, any position) within 90 days (per CDC guidance on length of time before receiving a vaccine) before and on index.
- Has influenza vaccine between 01 August -30 August 2022 (before study period).
- Has a COVID-19 or influenza diagnosis code in any setting within 14 days after index vaccination (excluded from all cohorts).
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| ComirnatyCOMIRNATY is an active immunization to prevent COVID-19 caused by SARS-CoV-2 in individuals 12 years of age and older. | Biological | COVID alone, Same day |
| Quadrivalent Influenza VaccineQuadrivalent Influenza Vaccine is a class of vaccines indicated for active immunization for the prevention of influenza disease caused by influenza A subtype viruses and type B viruses contained in the vaccines | Biological | Same day, flu alone |
Primary outcome
Number of Participants With All Cause Hospitalization Visits: 18-64 Years Old
Time frame: From Day 15 of vaccination till end of follow-up observation period, from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
Hospitalization due to any cause is defined as an overnight stay, or longer, in a hospital environment (emergency room, observation unit or in-patient care, or similar facility including admission to a day care facility). To account for imbalance in participant characteristics between the vaccine exposure groups, 2 separate logistic regression models were used. The two models were: Model 1: Same day vs COVID-19 alone, and Model 2: Same day vs Flu (SIV) alone.
Number of Participants With All Cause Hospitalization Visits: >=65 Years Old
Time frame: From Day 15 of vaccination till end of follow-up observation period, from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
Hospitalization due to any cause is defined as an overnight stay, or longer, in a hospital environment (emergency room, observation unit or in-patient care, or similar facility including admission to a day care facility). To account for imbalance in participant characteristics between the vaccine exposure groups, 2 separate logistic regression models were used. The two models were: Model 1: Same day vs COVID-19 alone, and Model 2: Same day vs SIV alone.
Number of Participants With Composite Coronavirus Disease (COVID-19)-Related Hospitalization, Emergency Department or Urgent Care Visits: Same Day Versus COVID-19 Alone
Time frame: From Day 15 of vaccination till end of follow-up observation period, from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
Hospitalization, emergency department or urgent care visits with COVID-19 diagnosis code (International Classification of Diseases, 10th revision [ICD-10-CM]: U07.1) in any position. To account for imbalance in participant characteristics between the vaccine exposure groups, 2 separate logistic regression models were used. The two models were: Model 1: Same day vs COVID-19 alone, and Model 2: Same day vs SIV alone. In this outcome measure data is reported for Model 1: Same day vs COVID-19 alone.
Number of Participants With Composite Influenza Related Hospitalization, Emergency Department or Urgent Care Visits: Same Day Versus SIV Alone
Time frame: From Day 15 of vaccination till end of follow-up observation period, from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
Hospitalization, emergency department or urgent care visits with Influenza diagnosis code (ICD-10-CM: J09.X, J10.X, J11.X) in any position. To account for imbalance in participant characteristics between the vaccine exposure groups, 2 separate logistic regression models were used. The two models were: Model 1: Same day vs COVID-19 alone, and Model 2: Same day vs SIV alone. In this outcome measure data is reported for Model 2: Same day vs SIV alone.
Number of Participants With COVID-19 Related Outpatient Visits: Same Day Versus COVID-19 Alone
Time frame: From Day 15 of vaccination till end of follow-up observation period, (from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
COVID-19 diagnosis code (ICD-10-CM: U07.1) in any position. An outpatient visit refers to any encounter that is in the outpatient setting. To account for imbalance in participant characteristics between the vaccine exposure groups, 2 separate logistic regression models were used. The two models were: Model 1: Same day vs COVID-19 alone, and Model 2: Same day vs SIV alone. In this outcome measure data is reported for Model 1: Same day vs COVID-19 alone.
Number of Participants With Influenza-Related Outpatient Visits: Same Day Versus SIV Alone
Time frame: From Day 15 of vaccination till end of follow-up observation period, from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
Influenza diagnosis code (ICD-10-CM: J09.X, J10.X, J11.X) in any position. An outpatient visit refers to any encounter that is in the outpatient setting. To account for imbalance in participant characteristics between the vaccine exposure groups, 2 separate logistic regression models were used. The two models were: Model 1: Same day vs COVID-19 alone, and Model 2: Same day vs SIV alone. In this outcome measure data is reported for Model 2: Same day vs SIV alone.
Number of Participants With COVID-19 Related Hospitalization Visits: Same Day Versus COVID-19 Alone
Time frame: From Day 15 of vaccination till end of follow-up observation period, from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
COVID-19 diagnosis code (ICD-10-CM: U07.1) in any position. To account for imbalance in participant characteristics between the vaccine exposure groups, 2 separate logistic regression models were used. The two models were: Model 1: Same day vs COVID-19 alone, and Model 2: Same day vs SIV alone. In this outcome measure data is reported for Model 1: Same day vs COVID-19 alone.
Number of Participants With Influenza Related Hospitalization Visits: Same Day Versus SIV Alone
Time frame: From Day 15 of vaccination till end of follow-up observation period, (from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
Influenza diagnosis code (ICD-10-CM: J09.X, J10.X, J11.X) in any position. To account for imbalance in participant characteristics between the vaccine exposure groups, 2 separate logistic regression models were used. The two models were: Model 1: Same day vs COVID-19 alone, and Model 2: Same day vs SIV alone. In this outcome measure data is reported for Model 2: Same day vs SIV alone.
Number of Participants With COVID-19-Related Emergency Department Visits/ Urgent Care Visits: Same Day Versus COVID-19 Alone
Time frame: From Day 15 of vaccination till end of follow-up observation period, from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
COVID-19 diagnosis code (ICD-10-CM: U07.1) in any position. To account for imbalance in participant characteristics between the vaccine exposure groups, 2 separate logistic regression models were used. The two models were: Model 1: Same day vs COVID-19 alone, and Model 2: Same day vs SIV alone. In this outcome measure data is reported for Model 1: Same day vs COVID-19 alone.
Number of Participants With Influenza-Related Emergency Department Visits/ Urgent Care Visits: Same Day Versus SIV Alone
Time frame: From Day 15 of vaccination till end of follow-up observation period, (from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
Influenza diagnosis code (ICD-10-CM: J09.X, J10.X, J11.X) in any position. To account for imbalance in participant characteristics between the vaccine exposure groups, 2 separate logistic regression models were used. The two models were: Model 1: Same day vs COVID-19 alone, and Model 2: Same day vs SIV alone. In this outcome measure data is reported for Model 2: Same day vs SIV alone.
Results and safety
Loading the posted results from ClinicalTrials.gov…
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 20 Sep 2024.
- Posted resultsParticipant flow, baseline, all outcome measures and adverse events.
- To obtain contact information for a study center near you, click here.Link provided by the sponsor.
- Individual participant dataSharing planned: No. Pfizer will provide access to individual de-identified participant data and related study documents (e.g. protocol, Statistical Analysis Plan (SAP), Clinical Study Report (CSR)) upon request from qualified researchers, and subject to certain criteria, conditions, and exceptions. Further details on Pfizer's data sharing criteria and process for requesting access can be found at: https://www.pfizer.com/science/clinical_trials/trial_data_and_results/data_requests.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Pfizer CT.gov Call Center study director
Pfizer
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Influenza, Human and COVID-19, run by Pfizer at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 4 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 20 Sep 2024. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Yes. Results are posted in the registry (first posted 20 Sep 2024). A summary is in the For doctors view, and the full results are on ClinicalTrials.gov.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Number of Participants With All Cause Hospitalization Visits: 18-64 Years Old (time frame: From Day 15 of vaccination till end of follow-up observation period, from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)). The study lists 10 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 20 Sep 2024.