Cancer PreventionCP-CDSNCT02986230
Cancer Prevention Clinical Decision Support
A study testing CP-CDS in people with Cancer Prevention, run by HealthPartners Institute at 1 site in United States.
Trial summary
The objective of this project is to implement and evaluate the effectiveness of a sophisticated Web-based, electronic health record (EHR)-linked clinical decision support (CDS) system designed to improve primary and secondary cancer preventive care. Read more about this study
- Who is it for?
- Ages 18 to 80 yearsHealthy volunteers can take part
- Conditions the study is for
- Cancer Prevention
- What is being tested?
- CP-CDS
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 35,953 participants
- Where
- 1 siteUnited States
- Study dates
- 1 Aug 2018to 28 Feb 2021
- Phase
- Interventional
- 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 to 80 years
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- meet above age criteria
- pcp practice at randomized clinic
Who cannot join
- current or past cancer diagnosis (excludes nonmelanoma skin cancer)
- hospice care or cancer chemotherapy
- Alzheimer's disease codes
- major cardiovascular event in 12 months prior to index date
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Implementing Cancer Prevention Using Patient-Provider Clinical Decision Support
The objective of this project is to implement and evaluate the effectiveness of a sophisticated Web-based, electronic health record (EHR)-linked clinical decision support (CDS) system designed to improve primary and secondary cancer preventive care.
This project will engage a rural population with substantial healthcare disparities and gaps in the receipt of primary and secondary cancer prevention. Results will advance dissemination and implementation research methods that can reduce health disparities and improve healthcare for millions in medically under-served areas.
Read the detailed description
The objective of this project is to implement and evaluate the effectiveness of a sophisticated Web-based, electronic health record (EHR)-linked clinical decision support (CDS) system designed to improve primary and secondary cancer preventive care. To achieve this objective, EHR data is sent to evidence-based cancer prevention algorithms, housed on a secure Web site. The algorithms: (a) identify at the point of care all eligible patients not up to date on their cancer prevention interventions; and (b) present to both patient and primary care provider (PCP), appropriate evidence-based primary cancer prevention interventions and cancer screening options at the point of care. The cancer prevention (CP)-CDS will focus on breast cancer screening in women aged 50-74, colorectal cancer screening for both sexes aged 50-75, cervical cancer screening for women aged 21-65, human papilloma virus (HPV) vaccination for both sexes aged 11-26, and referrals for weight management and smoking cessation in all adults aged 18 and older. Effectiveness is assessed by cluster-randomizing 30 primary care clinics with roughly 285 PCPs and 153,000 study-eligible patients into one of three experimental conditions: Group 1: CP-CDS intervention in which the decision support is printed for the PCP and patient, designed to engage patients in discussions about appropriate cancer prevention strategies. Group 2: CP-CDS + shared decision making tools (SDMT) intervention in which the CP-CDS is printed along with additional shared decision making tools. Group 3: clinics provide usual care (UC) with no intervention-related activity related to cancer prevention.
With 10 clinics, 95 PCPs, and 51,000 potentially eligible patients per study arm, this study will formally test the hypothesis that Groups 1 and 2 are superior to Group 3 over an 12-month follow-up period with respect to: (a) significantly higher rates of appropriate screening for breast, cervix, and colorectal cancer, as defined by the United States Preventive Services Task Force; and (b) significantly higher rates of human papillomavirus (HPV) vaccination in males and females aged 11-26 years. Secondary analysis will evaluate the impact of the intervention on lung cancer screening. The investigators further posit that Groups 1 and 2 will have higher short-term health care costs but better long-term cost-effectiveness than Group 3. The Consolidated Framework for Implementation Research (CFIR) and Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) conceptual frameworks will be used to guide implementation planning, organization, conduct, and impact evaluation of the intervention in a large rural healthcare system.
This project will engage a rural population with substantial healthcare disparities and gaps in the receipt of primary and secondary cancer prevention. Results will advance dissemination and implementation research methods that can reduce health disparities and improve healthcare for millions in medically under-served areas.
- Conditions
- Cancer Prevention
- Being tested
- CP-CDS
- Keywords
- Cancer prevention, Clinical Decision Support, Rural Health, Shared Decision Making
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
CP-CDSOther
Also called Cancer Prevention Wizard
The cancer prevention wizard is a point of care clinical decision support system designed to identify patients that are due for preventative cancer services and provides evidenced-based recommendations to the patient and provider.
| Study group | Role | What they receive |
|---|---|---|
| CP-CDS | Experimental | The CP-CDS group will receive a point of care clinical decision support tool called cancer prevention wizard (CP Wizard) that is integrated into the EHR. The CP Wizard provides evidenced- based recommendations to the provider and patient related to overdue cancer prevention screening services. Receives: Other: CP-CDS |
| CP-CDS + SDMT | Experimental | The CP-CDS + SDMT group will receive a point of care clinical decision support tool called cancer prevention wizard (CP Wizard) that is integrated into the EHR. The CP Wizard provides evidenced- based recommendations to the provider and patient related to overdue cancer prevention screening services. The CP-CDS + SDMT arm also provides shared decision making tools to patient and provider at the time of the visit. Receives: Other: CP-CDS |
| Usual Care | No intervention | The usual care group will have no access to the CP-CDS, or the CP-CDS + SDMT. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Composite Cancer Screening Tests up to Date
Participants up to date on composite endpoint of breast, cervical, and colorectal cancer screening at 1 year post index date.
Measured: 1 year post index date
HPV Vaccination up to Date
Participants up to date on HPV vaccination at 1 year post index date.
Measured: 1 year post index date
Secondary outcomes (1)
Lung Cancer Screening up to Date
Participants up to date on lung cancer screening at 1 year post index date.
Measured: 1 year post index date
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted8 Dec 2016 (estimated)
- Study start1 Aug 2018
- Primary completion15 Mar 2020
- Study completion28 Feb 2021
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.
- Publications (9)Papers the sponsor has linked to this study.
- Other trials for Cancer PreventionStudies of the same condition, open and under way.
- 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
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Health services research
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Enrolment
- 35,953 participants (actual)
Sponsor and investigators
- Lead sponsor
- HealthPartners Institute
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- Thomas E Elliott, MD, Principal investigator, HealthPartners Institute
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT02986230
- Sponsor's protocol ID
- 15-010
- Acronym
- CP-CDS
- Status last verified
- Feb 2022
- First submitted
- 6 Dec 2016
- Last updated
- 24 Jan 2024
- Results posted
- Yes, on ClinicalTrials.gov
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Elliott TE, O'Connor PJ, Asche SE, Saman DM, Dehmer SP, Ekstrom HL, Allen CI, Bianco JA, Chrenka EA, Freitag LA, Harry ML, Truitt AR, Sperl-Hillen JM. Design and rationale of an intervention to improve cancer prevention using clinical decision support and shared decision making: A clinic-randomized trial. Contemp Clin Trials. 2021 Mar;102:106271. doi: 10.1016/j.cct.2021.106271. Epub 2021 Jan 24.
PubMed 33503497Harry ML, Chrenka EA, Freitag LA, Saman DM, Allen CI, Asche SE, Truitt AR, Ekstrom HL, O'Connor PJ, Sperl-Hillen JAM, Ziegenfuss JY, Elliott TE. Primary care clinicians' opinions before and after implementation of cancer screening and prevention clinical decision support in a clinic cluster-randomized control trial: a survey research study. BMC Health Serv Res. 2022 Jan 6;22(1):38. doi: 10.1186/s12913-021-07421-0.
PubMed 34991570Saman DM, Harry ML, Freitag LA, Allen CI, O'Connor PJ, Sperl-Hillen JM, Bianco JA, Truitt AR, Ekstrom HL, Elliott TE. Patient Perceptions of Using Clinical Decision Support for Cancer Screening and Prevention: "I wouldn't have thought about getting screened without it.". J Patient Cent Res Rev. 2021 Oct 18;8(4):297-306. doi: 10.17294/2330-0698.1863. eCollection 2021 Fall.
PubMed 34722797Saman DM, Chrenka EA, Harry ML, Allen CI, Freitag LA, Asche SE, Truitt AR, Ekstrom HL, O'Connor PJ, Sperl-Hillen JM, Ziegenfuss JY, Elliott TE. The impact of personalized clinical decision support on primary care patients' views of cancer prevention and screening: a cross-sectional survey. BMC Health Serv Res. 2021 Jun 21;21(1):592. doi: 10.1186/s12913-021-06551-9.
PubMed 34154588Harry ML, Saman DM, Truitt AR, Allen CI, Walton KM, O'Connor PJ, Ekstrom HL, Sperl-Hillen JM, Bianco JA, Elliott TE. Pre-implementation adaptation of primary care cancer prevention clinical decision support in a predominantly rural healthcare system. BMC Med Inform Decis Mak. 2020 Jun 23;20(1):117. doi: 10.1186/s12911-020-01136-8.
PubMed 32576202Saman DM, Walton KM, Harry ML, Asche SE, Truitt AR, Henzler-Buckingham HA, Allen CI, Ekstrom HL, O'Connor PJ, Sperl-Hillen JM, Ziegenfuss JY, Bianco JA, Elliott TE. Understanding primary care providers' perceptions of cancer prevention and screening in a predominantly rural healthcare system in the upper Midwest. BMC Health Serv Res. 2019 Dec 30;19(1):1019. doi: 10.1186/s12913-019-4872-9.
PubMed 31888630Harry ML, Truitt AR, Saman DM, Henzler-Buckingham HA, Allen CI, Walton KM, Ekstrom HL, O'Connor PJ, Sperl-Hillen JM, Bianco JA, Elliott TE. Barriers and facilitators to implementing cancer prevention clinical decision support in primary care: a qualitative study. BMC Health Serv Res. 2019 Jul 31;19(1):534. doi: 10.1186/s12913-019-4326-4.
PubMed 31366355Harry ML, Asche SE, Freitag LA, Sperl-Hillen JM, Saman DM, Ekstrom HL, Chrenka EA, Truitt AR, Allen CI, O'Connor PJ, Dehmer SP, Bianco JA, Elliott TE. Human Papillomavirus vaccination clinical decision support for young adults in an upper midwestern healthcare system: a clinic cluster-randomized control trial. Hum Vaccin Immunother. 2022 Dec 31;18(1):2040933. doi: 10.1080/21645515.2022.2040933. Epub 2022 Mar 18.
PubMed 35302909Elliott TE, Asche SE, O'Connor PJ, Dehmer SP, Ekstrom HL, Truitt AR, Chrenka EA, Harry ML, Saman DM, Allen CI, Bianco JA, Freitag LA, Sperl-Hillen JM. Clinical Decision Support with or without Shared Decision Making to Improve Preventive Cancer Care: A Cluster-Randomized Trial. Med Decis Making. 2022 Aug;42(6):808-821. doi: 10.1177/0272989X221082083. Epub 2022 Feb 25.
PubMed 35209775
Study at a glance
From the registry record, last updated by the sponsor on 24 Jan 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Implementing Cancer Prevention Using Patient-Provider Clinical Decision Support
- ClinicalTrials.gov ID
- NCT02986230
- Acronym / sponsor ID
- CP-CDS / 15-010
- Conditions
- Cancer Prevention
- Keywords
- Cancer prevention, Clinical Decision Support, Rural Health, Shared Decision Making
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 35,953 participants (actual)
- Lead sponsor
- HealthPartners InstituteUniversity, hospital or other
- Study start
- 1 Aug 2018 (actual)
- Primary completion
- 15 Mar 2020 (actual)
- Study completion
- 28 Feb 2021 (actual)
- First posted
- 8 Dec 2016 (estimated)
- Results
- Posted 11 Jan 2024
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The objective of this project is to implement and evaluate the effectiveness of a sophisticated Web-based, electronic health record (EHR)-linked clinical decision support (CDS) system designed to improve primary and secondary cancer preventive care.
This project will engage a rural population with substantial healthcare disparities and gaps in the receipt of primary and secondary cancer prevention. Results will advance dissemination and implementation research methods that can reduce health disparities and improve healthcare for millions in medically under-served areas.
Detailed description
The objective of this project is to implement and evaluate the effectiveness of a sophisticated Web-based, electronic health record (EHR)-linked clinical decision support (CDS) system designed to improve primary and secondary cancer preventive care. To achieve this objective, EHR data is sent to evidence-based cancer prevention algorithms, housed on a secure Web site. The algorithms: (a) identify at the point of care all eligible patients not up to date on their cancer prevention interventions; and (b) present to both patient and primary care provider (PCP), appropriate evidence-based primary cancer prevention interventions and cancer screening options at the point of care. The cancer prevention (CP)-CDS will focus on breast cancer screening in women aged 50-74, colorectal cancer screening for both sexes aged 50-75, cervical cancer screening for women aged 21-65, human papilloma virus (HPV) vaccination for both sexes aged 11-26, and referrals for weight management and smoking cessation in all adults aged 18 and older. Effectiveness is assessed by cluster-randomizing 30 primary care clinics with roughly 285 PCPs and 153,000 study-eligible patients into one of three experimental conditions: Group 1: CP-CDS intervention in which the decision support is printed for the PCP and patient, designed to engage patients in discussions about appropriate cancer prevention strategies. Group 2: CP-CDS + shared decision making tools (SDMT) intervention in which the CP-CDS is printed along with additional shared decision making tools. Group 3: clinics provide usual care (UC) with no intervention-related activity related to cancer prevention.
With 10 clinics, 95 PCPs, and 51,000 potentially eligible patients per study arm, this study will formally test the hypothesis that Groups 1 and 2 are superior to Group 3 over an 12-month follow-up period with respect to: (a) significantly higher rates of appropriate screening for breast, cervix, and colorectal cancer, as defined by the United States Preventive Services Task Force; and (b) significantly higher rates of human papillomavirus (HPV) vaccination in males and females aged 11-26 years. Secondary analysis will evaluate the impact of the intervention on lung cancer screening. The investigators further posit that Groups 1 and 2 will have higher short-term health care costs but better long-term cost-effectiveness than Group 3. The Consolidated Framework for Implementation Research (CFIR) and Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) conceptual frameworks will be used to guide implementation planning, organization, conduct, and impact evaluation of the intervention in a large rural healthcare system.
This project will engage a rural population with substantial healthcare disparities and gaps in the receipt of primary and secondary cancer prevention. Results will advance dissemination and implementation research methods that can reduce health disparities and improve healthcare for millions in medically under-served areas.
Study design
- Primary purpose
- Health services research
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 3
| Arm | Type | Receives |
|---|---|---|
| CP-CDS | Experimental | Other: CP-CDSThe CP-CDS group will receive a point of care clinical decision support tool called cancer prevention wizard (CP Wizard) that is integrated into the EHR. The CP Wizard provides evidenced- based recommendations to the provider and patient related to overdue cancer prevention screening services. |
| CP-CDS + SDMT | Experimental | Other: CP-CDSThe CP-CDS + SDMT group will receive a point of care clinical decision support tool called cancer prevention wizard (CP Wizard) that is integrated into the EHR. The CP Wizard provides evidenced- based recommendations to the provider and patient related to overdue cancer prevention screening services. The CP-CDS + SDMT arm also provides shared decision making tools to patient and provider at the time of the visit. |
| Usual Care | No intervention | –The usual care group will have no access to the CP-CDS, or the CP-CDS + SDMT. |
Who may qualify
- Ages
- 18 to 80 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (2 listed)
- meet above age criteria
- pcp practice at randomized clinic
Key exclusion criteria (4 listed)
- current or past cancer diagnosis (excludes nonmelanoma skin cancer)
- hospice care or cancer chemotherapy
- Alzheimer's disease codes
- major cardiovascular event in 12 months prior to index date
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 |
|---|---|---|
| CP-CDSAlso: Cancer Prevention WizardThe cancer prevention wizard is a point of care clinical decision support system designed to identify patients that are due for preventative cancer services and provides evidenced-based recommendations to the patient and provider. | Other | CP-CDS, CP-CDS + SDMT |
Primary outcome
Composite Cancer Screening Tests up to Date
Time frame: 1 year post index date
Participants up to date on composite endpoint of breast, cervical, and colorectal cancer screening at 1 year post index date.
HPV Vaccination up to Date
Time frame: 1 year post index date
Participants up to date on HPV vaccination at 1 year post index date.
1 secondary outcome
Lung Cancer Screening up to Date
Time frame: 1 year post index date
Results and safety
Loading the posted results from ClinicalTrials.gov…
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 24 Jan 2024.
- Posted resultsParticipant flow, baseline, all outcome measures and adverse events.
- Background: PubMed 33503497Elliott TE, O'Connor PJ, Asche SE, Saman DM, Dehmer SP, Ekstrom HL, Allen CI, Bianco JA, Chrenka EA, Freitag LA, Harry ML, Truitt AR, Sperl-Hillen JM. Design and rationale of an intervention to improve cancer prevention using clinical decision support and shared decision making: A clinic-randomized trial. Contemp Clin Trials. 2021 Mar;102:106271. doi: 10.1016/j.cct.2021.106271. Epub 2021 Jan 24.
- Background: PubMed 34991570Harry ML, Chrenka EA, Freitag LA, Saman DM, Allen CI, Asche SE, Truitt AR, Ekstrom HL, O'Connor PJ, Sperl-Hillen JAM, Ziegenfuss JY, Elliott TE. Primary care clinicians' opinions before and after implementation of cancer screening and prevention clinical decision support in a clinic cluster-randomized control trial: a survey research study. BMC Health Serv Res. 2022 Jan 6;22(1):38. doi: 10.1186/s12913-021-07421-0.
- Background: PubMed 34722797Saman DM, Harry ML, Freitag LA, Allen CI, O'Connor PJ, Sperl-Hillen JM, Bianco JA, Truitt AR, Ekstrom HL, Elliott TE. Patient Perceptions of Using Clinical Decision Support for Cancer Screening and Prevention: "I wouldn't have thought about getting screened without it.". J Patient Cent Res Rev. 2021 Oct 18;8(4):297-306. doi: 10.17294/2330-0698.1863. eCollection 2021 Fall.
- Background: PubMed 34154588Saman DM, Chrenka EA, Harry ML, Allen CI, Freitag LA, Asche SE, Truitt AR, Ekstrom HL, O'Connor PJ, Sperl-Hillen JM, Ziegenfuss JY, Elliott TE. The impact of personalized clinical decision support on primary care patients' views of cancer prevention and screening: a cross-sectional survey. BMC Health Serv Res. 2021 Jun 21;21(1):592. doi: 10.1186/s12913-021-06551-9.
- Background: PubMed 32576202Harry ML, Saman DM, Truitt AR, Allen CI, Walton KM, O'Connor PJ, Ekstrom HL, Sperl-Hillen JM, Bianco JA, Elliott TE. Pre-implementation adaptation of primary care cancer prevention clinical decision support in a predominantly rural healthcare system. BMC Med Inform Decis Mak. 2020 Jun 23;20(1):117. doi: 10.1186/s12911-020-01136-8.
- Background: PubMed 31888630Saman DM, Walton KM, Harry ML, Asche SE, Truitt AR, Henzler-Buckingham HA, Allen CI, Ekstrom HL, O'Connor PJ, Sperl-Hillen JM, Ziegenfuss JY, Bianco JA, Elliott TE. Understanding primary care providers' perceptions of cancer prevention and screening in a predominantly rural healthcare system in the upper Midwest. BMC Health Serv Res. 2019 Dec 30;19(1):1019. doi: 10.1186/s12913-019-4872-9.
- Background: PubMed 31366355Harry ML, Truitt AR, Saman DM, Henzler-Buckingham HA, Allen CI, Walton KM, Ekstrom HL, O'Connor PJ, Sperl-Hillen JM, Bianco JA, Elliott TE. Barriers and facilitators to implementing cancer prevention clinical decision support in primary care: a qualitative study. BMC Health Serv Res. 2019 Jul 31;19(1):534. doi: 10.1186/s12913-019-4326-4.
- Background: PubMed 35302909Harry ML, Asche SE, Freitag LA, Sperl-Hillen JM, Saman DM, Ekstrom HL, Chrenka EA, Truitt AR, Allen CI, O'Connor PJ, Dehmer SP, Bianco JA, Elliott TE. Human Papillomavirus vaccination clinical decision support for young adults in an upper midwestern healthcare system: a clinic cluster-randomized control trial. Hum Vaccin Immunother. 2022 Dec 31;18(1):2040933. doi: 10.1080/21645515.2022.2040933. Epub 2022 Mar 18.
- Background: PubMed 35209775Elliott TE, Asche SE, O'Connor PJ, Dehmer SP, Ekstrom HL, Truitt AR, Chrenka EA, Harry ML, Saman DM, Allen CI, Bianco JA, Freitag LA, Sperl-Hillen JM. Clinical Decision Support with or without Shared Decision Making to Improve Preventive Cancer Care: A Cluster-Randomized Trial. Med Decis Making. 2022 Aug;42(6):808-821. doi: 10.1177/0272989X221082083. Epub 2022 Feb 25.
- Individual participant dataSharing planned: No
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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.
Thomas E Elliott, MD principal investigator
HealthPartners Institute
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing CP-CDS in people with Cancer Prevention, run by HealthPartners Institute 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 2 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 24 Jan 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 11 Jan 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?
Composite Cancer Screening Tests up to Date (time frame: 1 year post index date). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT02986230, which also lists 9 linked publications.
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 24 Jan 2024.