- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06605534
Leveraging the Emergency Department (LEAD) Study
February 6, 2026 updated by: Hackensack Meridian Health
LEAD Pilot Study: Leveraging the Emergency Department to Address SDOH and Reduce Lung Cancer Screening Disparities
This is a pilot Type 1 Hybrid Effectiveness-Implementation Trial.
The study will first examine reach in a non-traditional setting (the Emergency Department - ED) that uses an Electronic Health Record (EHR)-embedded Social Determinants of Health (SDoH) screening tool to identify lung screening-eligible patients for a tailored intervention to increase lung screening uptake.
Reach is defined as the absolute number, proportion, and representativeness of individuals targeted for lung screening knowledge, awareness, and uptake.
Then, a pilot trial will be conducted to examine the preliminary effectiveness of a tailored lung screening intervention compared to enhanced usual care to influence individual-level potential drivers of lung screening (health literacy, mistrust, stigma, fatalism, knowledge, lung screening health beliefs) and the ability to increase lung screening uptake among screening-eligible patients.
Quantitative (Randomized Controlled Trial and EHR data) methods will be used for data collection and analysis to address the study aims.
Study Overview
Status
Recruiting
Conditions
Intervention / Treatment
Study Type
Interventional
Enrollment (Estimated)
100
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Francis Valenzona
- Phone Number: 2018803400
- Email: francis.valenzona@hmh-cdi.org
Study Contact Backup
- Name: Ana Guadalupe Vielma, PhD
- Phone Number: 2018803400
- Email: ana.vielma@hmh-cdi.org
Study Locations
-
-
New Jersey
-
Brick, New Jersey, United States, 08724
- Recruiting
- Ocean Medical Center
-
Contact:
- Gia Nealy
- Phone Number: 201-880-3564
- Email: gia.nealy@hmh-cdi.org
-
Edison, New Jersey, United States, 08820
- Recruiting
- John F. Kennedy Medical Center
-
Contact:
- Gia Nealy
- Phone Number: 201-880-3564
- Email: gia.nealy@hmh-cdi.org
-
Hackensack, New Jersey, United States, 07601
- Recruiting
- Hackensack University Medical Center
-
Contact:
- Gia Nealy
- Phone Number: 201-880-3564
- Email: gia.nealy@hmh-cdi.org
-
Holmdel, New Jersey, United States, 07733
- Recruiting
- Bayshore Medical Center
-
Contact:
- Gia Nealy
- Phone Number: 201-880-3564
- Email: gia.nealy@hmh-cdi.org
-
Manahawkin, New Jersey, United States, 08050
- Recruiting
- Southern Ocean Medical Center
-
Contact:
- Gia Nealy
- Phone Number: 201-880-3564
- Email: gia.nealy@hmh-cdi.org
-
Neptune City, New Jersey, United States, 07753
- Recruiting
- Jersey Shore University Medical Center
-
Contact:
- Gia Nealy
- Phone Number: 201-880-3564
- Email: gia.nealy@hmh-cdi.org
-
North Bergen, New Jersey, United States, 07047
- Recruiting
- Palisades Medical Center
-
Contact:
- Gia Nealy
- Phone Number: 201-880-3564
- Email: gia.nealy@hmh-cdi.org
-
Old Bridge, New Jersey, United States, 08857
- Recruiting
- Old Bridge Medical Center
-
Contact:
- Gia Nealy
- Phone Number: 201-880-3564
- Email: gia.nealy@hmh-cdi.org
-
Perth Amboy, New Jersey, United States, 08861
- Recruiting
- Raritan Bay Medical Center
-
Contact:
- Gia Nealy
- Phone Number: 201-880-3564
- Email: gia.nealy@hmh-cdi.org
-
Red Bank, New Jersey, United States, 07701
- Recruiting
- Riverview Medical Center
-
Contact:
- Gia Nealy
- Phone Number: 201-880-3564
- Email: gia.nealy@hmh-cdi.org
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Description
Inclusion Criteria:
- Aged 50 years to 80 years
- Currently smoke cigarettes or quit smoking cigarettes within the past 15 years
- 20 pack-year smoking history
- Has never had lung cancer screening
- Able to provide informed consent
- Able to speak and understand English
Exclusion Criteria:
- Diagnosed with lung cancer
- Has a history of having a lung cancer screening scan
- Unable to speak and understand English
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Screening
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: LungTalk Group
LungTalk is a novel theoretically grounded health educational tool that will be delivered via iPad and is an interactive computer-based program that includes audio, video and animation segments with scripts presented from a master content library in consideration of different ways people like to learn.
Informed by our prior research, LungTalk tailors its content based on smoking status and perceived barriers.
In prior work, LungTalk more than doubled Lung Cancer Screening (LCS) knowledge and health beliefs (p < 0.01), and was associated with a significant increase in deciding to screen for lung cancer compared to control group; OR 1.99; 95% CI, 1.03, 3.85, p = 0.03.
|
Tailored lung screening intervention
|
|
Active Comparator: Non-tailored Lung Screening Pamphlet Group
Non-tailored Lung Screening Pamphlet is a non-tailored educational brochure, What is Lung Cancer Screening from the GO2 Foundation that will be emailed to the patient.
This widely used educational standard of care is a 2-page reader-friendly non-tailored electronic brochure about risk and screening for lung cancer used in clinical and community settings.
|
Non-tailored lung screening.
It involves the addition of education to Social Determinants of Health (SDOH) screening and referral with patient navigation.
Patients will be identified, and screened for SDOH needs using the UniteUs SDOH screener that is embedded in the Electronic Health Record (EHR), and connected to geographically-tailored resources (as described above under Arm 1).
Participants will then be sent a non-tailored lung screening educational brochure via email to review that details lung cancer risk, lung screening facts, benefits, and potential harms.
Within 48 hours, the Community Outreach and Engagement (COE) Patient Navigator will contact the patient to answer questions and provide navigation services as described above in Arm 1.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Lung Cancer Screening Uptake
Time Frame: Assessed at 1 month and 6 months post intervention
|
Completion of a Screening Low-Dose Computed Tomography (LDCT) of the Chest confirmed via Electronic Health Records (EHR))
|
Assessed at 1 month and 6 months post intervention
|
|
Stage of Adoption for Lung Cancer Screening
Time Frame: Assessed at 1 week and then at 1 month and 6 months post intervention
|
Screening Intention will be assessed with the Stage of Adoption for Decision- Making About Lung Screening using an algorithm of questions used in our prior studies assessing the 7 stages (unaware, aware but unengaged, undecided, decided not to act, decided to act, action, and maintenance).
This will allow investigators to assess intent.
|
Assessed at 1 week and then at 1 month and 6 months post intervention
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Health Literacy Scale
Time Frame: At one week and one month post intervention
|
Change in Health Literacy Scale between baseline and 1 week and 1-month post-intervention.
The Health Literacy Scale will be measured using the 3-item psychometrically validated Health Literacy Scale by Chew and colleagues.
This scale has been supported as valid for detecting inadequate health literacy using Likert scale response options ranging from 0=strongly disagree to 4 =strongly agree with lower scores representative of higher levels of health literacy.
|
At one week and one month post intervention
|
|
Medical Mistrust Scale
Time Frame: At one week and one month post intervention
|
Change in Medical Mistrust Scale between baseline and 1 week and 1-month post-intervention.
Medical Mistrust will be measured using the psychometrically validated 5-item Medical Mistrust Scale.
This measure assesses constructs related to mistrust of the medical system, including suspicion, discrimination, and lack of support.
Likert scale response options range from 1 to 4 with 1=Stongly Disagree to Agree 5=Strongly.
Responses are summed (range 5-25), with higher scores indicating more trust.
*Negatively worded item is reverse coded.
Reliability and validity have been well established with Cronbach's alpha of 0.87-0.88.
|
At one week and one month post intervention
|
|
Perceived Stigma Scale
Time Frame: At one week and one month post intervention
|
Change in Perceived Stigma Scale between baseline and 1 week and 1-month post-intervention.
Perceived Stigma will be measured using the 5-item smoking-related stigma subscale of the Cataldo Lung Cancer Stigma Scale.
The response scale is 1=strongly disagree to 4=strongly agree; range is 5 to 25 (higher stigma).
Cronbach's alphas were 0.75 to 0.89 in prior studies.
|
At one week and one month post intervention
|
|
Perceived Risk of Lung Cancer Scale
Time Frame: At one week and one month post intervention
|
Change in Perceived Risk of Lung Cancer Scale between baseline and 1 week and 1-month post-intervention.
Lung Cancer Screening Health Belief Scales will be used to measure perceived risk, perceived benefits, perceived barriers, and self-efficacy.
Content and construct validity have been established.
Internal consistency reliability was established by our team with a sample of 497 lung cancer screening-eligible individuals with Perceived Risk of Lung Cancer on a 3-item scale with Likert-type responses from 1=Strongly Disagree to 4=Strongly Agree.
The range of scores is 3 to 12 (higher perceived risk of lung cancer).
Cronbach's alpha was 0.88 in our preliminary study.
|
At one week and one month post intervention
|
|
Perceived Benefits of Lung Cancer Screening Scale
Time Frame: At one week and one month post intervention
|
Change in Perceived Benefits of Lung Cancer Screening Scale between baseline and 1 week and 1-month post-intervention.
Lung Cancer Screening Health Belief Scales will be used to measure perceived risk, perceived benefits, perceived barriers, and self-efficacy.
Content and construct validity have been established.
Internal consistency reliability was established by our team with a sample of 497 lung cancer screening-eligible individuals with Perceived Benefits of Lung Cancer Screening on a 6-item scale with responses ranging from 1=strongly disagree to 4=strongly agree.
The range of scores is 6 to 24 (higher perceived benefits), with a Cronbach's alpha of 0.76 in our preliminary study
|
At one week and one month post intervention
|
|
Perceived Barriers to Lung Cancer Screening Scale
Time Frame: At one week and one month post intervention
|
Change in Perceived Barriers of Lung Cancer Screening Scale between baseline and 1 week and 1-month post-intervention.
Lung Cancer Screening Health Belief Scales will be used to measure perceived risk, perceived benefits, perceived barriers, and self-efficacy.
Content and construct validity have been established.
Internal consistency reliability was established by our team with a sample of 497 lung cancer screening-eligible individuals with Perceived Barriers to Lung Cancer Screening.
This scale has 17 items with four-point Likert responses where 1=strongly disagree and 4=strongly agree.
The range of scores is 17 to 68 (higher perceived barriers) with a Cronbach's a of 0.87 in our preliminary psychometric study
|
At one week and one month post intervention
|
|
Self-Efficacy for Lung Cancer Screening Scale
Time Frame: At one week and one month post intervention
|
Change in Self-Efficacy for Lung Cancer Screening Scale between baseline and 1 week and 1-month post-intervention.
Lung Cancer Screening Health Belief Scales will be used to measure perceived risk, perceived benefits, perceived barriers, and self-efficacy.
Content and construct validity have been established.
Internal consistency reliability was established by our team with a sample of 497 lung cancer screening-eligible individuals with Self-Efficacy for Lung Cancer Screening.
This scale has nine items with a four-point Likert response option (1=Not at all Confident and 4 =Very Confident) to assess individual beliefs about ability to arrange and complete an LDCT to screen for lung cancer.
The range of scores is 9 to 36 (higher levels of self-efficacy) with a Cronbach's alpha of 0.92 in our preliminary psychometric study.
|
At one week and one month post intervention
|
|
Knowledge: Lung Cancer and Screening Scale
Time Frame: At one week and one month post intervention
|
Change in Knowledge: Lung Cancer and Lung Screening between baseline and 1 week and 1-month post-intervention.
Knowledge of Lung Cancer and Lung Screening will be assessed with a 7-item multidimensional scale used in our preliminary studies adapted from literature specific to lung cancer.
Several aspects will be assessed, including knowledge of lung cancer, risk, and screening.
The range of scores is 0 to 7, with 0 being No Knowledge, and 9 being Complete Knowledge.
|
At one week and one month post intervention
|
|
Lung Cancer Fatalism
Time Frame: At one week and one month post intervention
|
Change in Lung Cancer Fatalism between baseline and 1 week and 1-month post-intervention.
Lung Cancer Fatalism will be measured with the 11-item dichotomous (0=yes and 1=no) Lung Cancer Fatalism Scale adapted from the Revised Powe Fatalism Inventory that has been psychometrically validated.
|
At one week and one month post intervention
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Collaborators
Investigators
- Principal Investigator: Lisa Carter-Bawa, PhD, Hackensack Meridian Health
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Carter-Harris L, Brandzel S, Wernli KJ, Roth JA, Buist DSM. A qualitative study exploring why individuals opt out of lung cancer screening. Fam Pract. 2017 Apr 1;34(2):239-244. doi: 10.1093/fampra/cmw146.
- Carter-Harris L, Ceppa DP, Hanna N, Rawl SM. Lung cancer screening: what do long-term smokers know and believe? Health Expect. 2017 Feb;20(1):59-68. doi: 10.1111/hex.12433. Epub 2015 Dec 23.
- Carter-Harris L, Tan AS, Salloum RG, Young-Wolff KC. Patient-provider discussions about lung cancer screening pre- and post-guidelines: Health Information National Trends Survey (HINTS). Patient Educ Couns. 2016 Nov;99(11):1772-1777. doi: 10.1016/j.pec.2016.05.014. Epub 2016 May 17.
- Volk RJ, Linder SK, Leal VB, Rabius V, Cinciripini PM, Kamath GR, Munden RF, Bevers TB. Feasibility of a patient decision aid about lung cancer screening with low-dose computed tomography. Prev Med. 2014 May;62:60-3. doi: 10.1016/j.ypmed.2014.02.006. Epub 2014 Feb 8.
- Dharod A, Bellinger C, Foley K, Case LD, Miller D. The Reach and Feasibility of an Interactive Lung Cancer Screening Decision Aid Delivered by Patient Portal. Appl Clin Inform. 2019 Jan;10(1):19-27. doi: 10.1055/s-0038-1676807. Epub 2019 Jan 9.
- Williams DR, Yan Yu, Jackson JS, Anderson NB. Racial Differences in Physical and Mental Health: Socio-economic Status, Stress and Discrimination. J Health Psychol. 1997 Jul;2(3):335-51. doi: 10.1177/135910539700200305.
- Chew LD, Bradley KA, Boyko EJ. Brief questions to identify patients with inadequate health literacy. Fam Med. 2004 Sep;36(8):588-94.
- Krebs P, Prochaska JO, Rossi JS. A meta-analysis of computer-tailored interventions for health behavior change. Prev Med. 2010 Sep-Oct;51(3-4):214-21. doi: 10.1016/j.ypmed.2010.06.004. Epub 2010 Jun 15.
- National Lung Screening Trial Research Team; Aberle DR, Adams AM, Berg CD, Black WC, Clapp JD, Fagerstrom RM, Gareen IF, Gatsonis C, Marcus PM, Sicks JD. Reduced lung-cancer mortality with low-dose computed tomographic screening. N Engl J Med. 2011 Aug 4;365(5):395-409. doi: 10.1056/NEJMoa1102873. Epub 2011 Jun 29.
- Carter-Harris L, Slaven JE Jr, Monahan PO, Shedd-Steele R, Hanna N, Rawl SM. Understanding lung cancer screening behavior: Racial, gender, and geographic differences among Indiana long-term smokers. Prev Med Rep. 2018 Feb 3;10:49-54. doi: 10.1016/j.pmedr.2018.01.018. eCollection 2018 Jun.
- Carter-Harris L, Comer RS, Goyal A, Vode EC, Hanna N, Ceppa D, Rawl SM. Development and Usability Testing of a Computer-Tailored Decision Support Tool for Lung Cancer Screening: Study Protocol. JMIR Res Protoc. 2017 Nov 16;6(11):e225. doi: 10.2196/resprot.8694.
- Carter-Harris L, Comer RS, Slaven Ii JE, Monahan PO, Vode E, Hanna NH, Ceppa DP, Rawl SM. Computer-Tailored Decision Support Tool for Lung Cancer Screening: Community-Based Pilot Randomized Controlled Trial. J Med Internet Res. 2020 Nov 3;22(11):e17050. doi: 10.2196/17050.
- Carter-Harris L, Slaven JE 2nd, Monohan P, Rawl SM. Development and Psychometric Evaluation of the Lung Cancer Screening Health Belief Scales. Cancer Nurs. 2017 May/Jun;40(3):237-244. doi: 10.1097/NCC.0000000000000386.
- Albada A, Ausems MG, Bensing JM, van Dulmen S. Tailored information about cancer risk and screening: a systematic review. Patient Educ Couns. 2009 Nov;77(2):155-71. doi: 10.1016/j.pec.2009.03.005. Epub 2009 Apr 18.
- Rawl SM, Skinner CS, Perkins SM, Springston J, Wang HL, Russell KM, Tong Y, Gebregziabher N, Krier C, Smith-Howell E, Brady-Watts T, Myers LJ, Ballard D, Rhyant B, Willis DR, Imperiale TF, Champion VL. Computer-delivered tailored intervention improves colon cancer screening knowledge and health beliefs of African-Americans. Health Educ Res. 2012 Oct;27(5):868-85. doi: 10.1093/her/cys094. Epub 2012 Aug 27.
- Ruffin MT 4th, Fetters MD, Jimbo M. Preference-based electronic decision aid to promote colorectal cancer screening: results of a randomized controlled trial. Prev Med. 2007 Oct;45(4):267-73. doi: 10.1016/j.ypmed.2007.07.003. Epub 2007 Jul 14.
- Ahmad F, Cameron JI, Stewart DE. A tailored intervention to promote breast cancer screening among South Asian immigrant women. Soc Sci Med. 2005 Feb;60(3):575-86. doi: 10.1016/j.socscimed.2004.05.018.
- Champion V, Foster JL, Menon U. Tailoring interventions for health behavior change in breast cancer screening. Cancer Pract. 1997 Sep-Oct;5(5):283-8.
- Lau YK, Caverly TJ, Cherng ST, Cao P, West M, Arenberg D, Meza R. Development and validation of a personalized, web-based decision aid for lung cancer screening using mixed methods: a study protocol. JMIR Res Protoc. 2014 Dec 19;3(4):e78. doi: 10.2196/resprot.4039.
- Carter-Harris L, Davis LL, Rawl SM. Lung Cancer Screening Participation: Developing a Conceptual Model to Guide Research. Res Theory Nurs Pract. 2016 Nov 1;30(4):333-352. doi: 10.1891/1541-6577.30.4.333.
- Thompson HS, Valdimarsdottir HB, Winkel G, Jandorf L, Redd W. The Group-Based Medical Mistrust Scale: psychometric properties and association with breast cancer screening. Prev Med. 2004 Feb;38(2):209-18. doi: 10.1016/j.ypmed.2003.09.041.
- Mayo RM, Ureda JR, Parker VG. Importance of fatalism in understanding mammography screening in rural elderly women. J Women Aging. 2001;13(1):57-72. doi: 10.1300/J074v13n01_05.
- Viale PH. The American Cancer Society's Facts & Figures: 2020 Edition. J Adv Pract Oncol. 2020 Mar;11(2):135-136. doi: 10.6004/jadpro.2020.11.2.1. Epub 2020 Mar 1. No abstract available.
- Cancer Facts & Figures for African Americans 2019-2021. In: American Cancer Society. Atlanta: 2019.
- United States Preventive Services Task Force. Final recommendation statement: Lung cancer screening.http://www.uspreventiveservicestaskforce.org/Page/Document/RecommendationStatem entFinal/lung-cancer-screening. Updated December 2016. Accessed January 21, 2023.
- Rivera MP, Katki HA, Tanner NT, Triplette M, Sakoda LC, Wiener RS, Cardarelli R, Carter-Harris L, Crothers K, Fathi JT, Ford ME, Smith R, Winn RA, Wisnivesky JP, Henderson LM, Aldrich MC. Addressing Disparities in Lung Cancer Screening Eligibility and Healthcare Access. An Official American Thoracic Society Statement. Am J Respir Crit Care Med. 2020 Oct 1;202(7):e95-e112. doi: 10.1164/rccm.202008-3053ST.
- American Lung Association: State of Lung Cancer. In. Chicago, IL: American Lung Association; 2019.
- United States Preventive Services Task Force. Final recommendation statement: Lung cancer screening (updated). https://www.uspreventiveservicestaskforce.org/uspstf/recommendation/lung-cancer-screening. Updated March 9, 2021. Accessed February 21, 2024.
- Draucker CB, Rawl SM, Vode E, Carter-Harris L. Understanding the decision to screen for lung cancer or not: A qualitative analysis. Health Expect. 2019 Dec;22(6):1314-1321. doi: 10.1111/hex.12975. Epub 2019 Sep 27.
- De Marchis EH, Brown E, Aceves B, et al. State of the Science of Screening in Healthcare Settings. Social Interventions Research & Evaluation Network, 2022.
- Kreuter M, Farrell D, Olevitch L, et al. Tailoring health messages: Customizing communication with computer technology. Mahwah, NJ, US: Lawrence Erlbaum Associates Publishers; 2000.
- Memorial Sloan Kettering Cancer Center, Lung cancer screening decision tool. http://nomograms.mskcc.org/Lung/Screening.aspx. Accessed June 20, 2024.
- Chen Y, Marcus MW, Niaz A, et al My Lung Risk: a user-friendly, web-based calculator for risk assessment of lung cancer based on the validated Liverpool Lung Project risk prediction model. International Journal of Health Promotion and Education. 2014;52(3):144-152.
- Veterans Health Administration, Screening for lung cancer pamphlet. 2020. http://www.prevention.va.gov/docs/LungCancerScreeningHandout.pdf. Accessed June 20, 2024.
- Carter-Harris L, Hall LA. Development of a short version of the Cataldo Lung Cancer Stigma Scale. J Psychosoc Oncol. 2014;32(6):665-77. doi: 10.1080/07347332.2014.955238.
- Weinstein D. The Precaution Adoption Process Model. In: Glanz K, Rimer BK, Viswanath K, eds. Health behavior and health education: Theory, research, and practice, 4th ed. 4th ed. San Francisco, CA, US: Jossey-Bass; 2008:xxxiii-552, pp. 123-147.
- Carter-Harris L, Slaven JE 2nd, Monahan PO, Draucker CB, Vode E, Rawl SM. Understanding lung cancer screening behaviour using path analysis. J Med Screen. 2020 Jun;27(2):105-112. doi: 10.1177/0969141319876961. Epub 2019 Sep 24.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
October 29, 2024
Primary Completion (Estimated)
October 30, 2026
Study Completion (Estimated)
October 30, 2026
Study Registration Dates
First Submitted
September 11, 2024
First Submitted That Met QC Criteria
September 18, 2024
First Posted (Actual)
September 20, 2024
Study Record Updates
Last Update Posted (Actual)
February 10, 2026
Last Update Submitted That Met QC Criteria
February 6, 2026
Last Verified
February 1, 2026
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- Pro2024-0236
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
product manufactured in and exported from the U.S.
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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