Active, not recruiting

Understanding the Long-term Effects of the COVID-19 Pandemic on the Opioid Overdose Crisis

Posted on by Jodi Snare

Page last updated May 11, 2026

Study Design: Retrospective Observational Study
PCORnet Infrastructure: Common Data Model (CDM), Single IRB, Patient partners or engagement
Principal Investigator: Magdalena Cerdá
Institution: New York University Langone Health
PCORnet® Network Partner: INSIGHT
Funder: Federal (NIDA)
Funding Date: 2023
Study Duration: 2023 – 2028
Participating PCORnet® Clinical Research Networks: GPC, INSIGHT, OneFlorida+, PaTH, PEDSnet, REACHnet, STAR
Therapeutic Area: Infectious Disease, Substance Use
Condition: COVID-19, Opioid Use
Population: 18 Years and older (Adult, Older Adult )
Status: Active, not recruiting

Research Question(s):

  1. Did a community rise in COVID-19 hospitalizations and deaths contribute to an increase in the risk of overdose among PCORnet patients?
  2. What role did public health and economic policies enacted during the COVID-19 pandemic play in explaining whether a rise in community COVID-19 burden contributed to a rise in overdose?
  3. Did the impact of the COVID-19 pandemic on overdose depend on the socioeconomic, social, and policy characteristics the community had in place prior to the pandemic?

VictORION-INCLUSION: Evaluating Inclisiran for Cholesterol Management in Heart Disease (V-INCLUSION)

Posted on by Jodi Snare

Page last updated May 11, 2026

ClinicalTrials.gov#: NCT06249165
Study Design: Intervention Trial
PCORnet Infrastructure: Common Data Model (CDM), Single IRB, Patient partners or engagement
Principal Investigator: Neha Pagidipati
Institution: Duke Clinical Research Institute
PCORnet® Network Partner: The Coordinating Center for PCORnet®
Funder: Industry (Novartis)
Funding Date: 2023
Study Duration: 2023 – 2026
Participating PCORnet® Clinical Research Networks: GPC, Insight, OneFlorida+, PaTH, REACHnet, STAR 
Therapeutic Area: Cardiovascular
Condition: Atherosclerotic Cardiovascular Disease (ASCVD)
Status: Active, not recruiting

Research Question(s):
Can inclisiran be an effective solution to improve low-density lipoprotein-cholesterol management and close care gaps in an inclusive Atherosclerotic Cardiovascular Disease (ASCVD) and ASCVD risk equivalent population?

Greenlight Plus Study: A Randomized Study of Approaches to Early Childhood Obesity Prevention

Posted on by Jodi Snare

Page last updated May 11, 2026

Study Website: https://www.greenlight-program.org/
ClinicalTrials.gov#: NCT04042467
Study Design: Intervention Trial
PCORnet Infrastructure (Phase 1): Common Data Model (CDM), Single IRB, Patient partners or engagement
PCORnet Infrastructure (Phase 2): Single IRB, Patient partners or engagement
Principal Investigator: Bill Heerman
Institution: Vanderbilt University Medical Center
PCORnet® Network Partner: STAR
Funder: Patient-Centered Outcomes Research Institute (PCORI); (Project webpage)
Funding Date (Phase 1): 2018
Study Duration (Phase 1): 2019 - 2025
Funding Date (Phase 2): 2025
Study Duration (Phase 2): 2025 - 2031
Participating PCORnet® Clinical Research Networks: INSIGHT, OneFlorida+, PaTH, STAR
Therapeutic Area: Metabolic Disorders
Condition: Behavior, Health; Child Obesity
Status (Phase 1): Active, not recruiting
Status (Phase 2): Not yet recruiting

Research Question(s):
The research team is recruiting 900 English- and Spanish-speaking parent-infant pairs from six primary care clinics. The team is assigning the pairs by chance to receive either Greenlight or Greenlight Plus for two years. At the start of the study and throughout the child's first two years of life, the team is interviewing families and reviewing medical records to see how each baby is growing. The team wants to know how Greenlight and Greenlight Plus compare in promoting healthy weight gain for different groups based on language, race, ethnicity, and health literacy.

Bariatric Surgery Impact on Cancer Screening (BASICS)

Posted on by Jodi Snare

Page last updated May 11, 2026

Study Design: Retrospective Observational Study
PCORnet Infrastructure: Common Data Model (CDM), Patient partners or engagement
Principal Investigator: Kathleen McTigue
Institution: University of Pittsburgh
PCORnet® Network Partner: PaTH
Funder: Federal (NIH/NCI)
Funding Date: 2023
Study Duration: 2023 – 2025
Participating PCORnet® Clinical Research Networks: GPC, INSIGHT, PaTH, REACHnet, STAR
Therapeutic Area: Oncology
Age Range: Adults with BMI 35+ who have had bariatric procedures
Status: Active, not recruiting

Research Question(s):

  1. How are patients' cancer screening practices impacted by bariatric surgery for weight loss?

PANDA – MSD: Predictive Analytics via Networked Distributed Algorithms for Multi – System Diseases

Posted on by Jodi Snare

Page last updated May 11, 2026

Study Design: Retrospective Observational Study
PCORnet Infrastructure: Common Data Model (CDM), Patient partners or engagement
Principal Investigator: Jiang Bian
Institution: University of Florida and University of Florida Health
PCORnet® Network Partner: OneFlorida+
Funder: Federal (NIH)
Funding Date: 2023
Study Duration: 2023 – 2026
Participating PCORnet® Clinical Research Networks: OneFlorida+
Therapeutic Area: Rare Diseases
Condition: Granulomatosis with Polyangiitis (GPA); Psoriatic Arthritis (PsA)
Age Range: 18 Years and older (Adult, Older Adult )
Status: Active, not recruiting

Research Question(s):
Can the use of EHR data develop predictive tools to assist healthcare providers in reaching earlier diagnoses and interventions, and improve the diagnostic journey and clinical outcomes of patients with rare diseases?

Primary Publication(s):

Jian X, Zhang D, Yu Z, et al. Leveraging undecided cases in chart-reviewed phenotypes to enhance EHR-based association studies. J Biomed Inform. 2025;166:104839. doi:10.1016/j.jbi.2025.104839

Tong J, Li L, Reps JM, et al. Advancing Interpretable Regression Analysis for Binary Data: A Novel Distributed Algorithm Approach. Stat Med. 2024;43(29):5573-5582. doi:10.1002/sim.10250

Wu Q, Tong J, Zhang B, et al. Real-World Effectiveness of BNT162b2 Against Infection and Severe Diseases in Children and Adolescents. Ann Intern Med. 2024;177(2):165-176. doi:10.7326/M23-1754

Cardiovascular Multicenter Observational Investigation of Lipid Care in the United States-2 (cvMOBIUS2)

Posted on by Jodi Snare

Page last updated May 11, 2026

Study Design: Prospective Observational Study
PCORnet Infrastructure: Common Data Model (CDM), Patient partners or engagement
Principal Investigators: Eric Peterson and Ann Marie Navar
Institution: Duke Clinical Research Institute
PCORnet® Network Partner: The Coordinating Center for PCORnet®
Funder: Industry (Amgen)
Funding Date: 2021
Study Duration: 2021 - 2026
Participating PCORnet® Clinical Research Networks: GPC, OneFlorida+, PaTH, REACHnet, STAR
Therapeutic Area: Cardiovascular
Condition: Atherosclerotic Cardiovascular Disease (ASCVD)
Age Range: 18 Years and older (Adult, Older Adult)
Study Status: Active, not recruiting

Research Question:

Can we reduce the number of people who die from atherosclerotic cardiovascular disease (ASCVD) related deaths by using PCSK9 medicines to lower their cholesterol?

Primary Publication(s):

Navar AM, Shah NP, Shrader P, et al. Achievement of LDL-C <55 mg/dL among US adults: Findings from the cvMOBIUS2 registry. Am Heart J. 2025;279:107-117. doi:10.1016/j.ahj.2024.06.012

Shoji S, Shah NP, Shrader P, et al. Achievement of guideline-based lipid goals among very-high-risk patients with atherosclerotic cardiovascular disease and type 2 diabetes: results in 213,380 individuals from the cvMOBIUS2 registry. Am J Prev Cardiol. 2024;21:100921. Published 2024 Dec 21. doi:10.1016/j.ajpc.2024.100921

Shah NP, Peterson ED, Shrader P, et al. Variation in Lipid Management for Atherosclerotic Cardiovascular Disease Across US Health Systems. Circ Popul Health Outcomes. Published online February 20, 2026. doi:10.1161/CIRCOUTCOMES.125.012622

The RECOVER Post-Acute Sequelae of SARS-CoV-2 (PASC) Electronic Health Record (EHR) Cohort Study

Posted on by Jodi Snare

Page last updated May 11, 2026

Study Website: RECOVERCOVID
Study Design: Retrospective Observational Study
PCORnet Infrastructure: Common Data Model (CDM), Single IRB, Patient partners or engagement
Principal Investigator: Christopher Forrest, Charles Bailey and Grace Lee
Institution: The Children's Hospital of Philadelphia
PCORnet® Network Partner: PEDSnet
Funder: Federal (NIH)
Funding Date: 2021
Study Duration: 2021 - 2025
Participating PCORnet® Clinical Research Networks: ADVANCE, GPC, PaTH, PEDSnet, STAR
Therapeutic Area: Infectious Disease
Condition: COVID-19; SARS-CoV-2 Infection
Age Range: Pediatrics 21 years and younger
Status: Active, not recruiting

Research Question(s):

  1. What are the long term health effects of COVID-19 after a person has recovered from infection?
  2. How can we better detect, predict, treat these health effects and prevent future infection?

Primary Publication(s):

Forrest CB, Burrows EK, Mejias A, et al. Severity of Acute COVID-19 in Children <18 Years Old March 2020 to December 2021. Pediatrics. 2022 Apr 1;149(4):e2021055765. doi:10.1542/peds.2021-055765

Rao S, Lee GM, Razzaghi H, et al. Clinical Features and Burden of Postacute Sequelae of SARS-CoV-2 Infection in Children and Adolescents. JAMA Pediatr. 2022;176(10):1000. doi:10.1001/jamapediatrics.2022.2800

Bose-Brill S, Hirabayashi K, Schwimmer E, et al; Researching COVID to Enhance Recovery consortium. Pediatric nirmatrelvir/ritonavir prescribing patterns during the COVID-19 pandemic. Hosp Pediatr. 2024;14(8):e341-e348. doi:10.1542/hpeds.2023-007132

PCORnet® Study of Post-Acute Sequelae of SARS-CoV-2 Infection in Adults (PCORnetPASC)

Posted on by Jodi Snare

Page last updated May 11, 2026

Study Website: RECOVERCOVID
ClinicalTrials.gov#: NCT05292274
Study Design: Retrospective Observational Study
PCORnet Infrastructure: Common Data Model (CDM), Single IRB
Principal Investigator: Rainu Kaushal
Institution: Weill Cornell Medicine
PCORnet® Network Partner: INSIGHT
Funder: Federal (NIH)
Funding Date: 2022
Study Duration: 2022 - 2026
Participating PCORnet® Clinical Research Networks: GPC, INSIGHT, OneFlorida+, PaTH, REACHnet, STAR
Therapeutic Area: Infectious Disease
Condition: COVID-19; SARS CoV 2 Infection
Age Range: 18 Years and older (Adult, Older Adult)
Status: Active, not recruiting

Research Question(s):

  1. What are the long term health effects of COVID-19 after a person has recovered from infection?
  2. How can we better detect, predict, and treat these health effects and prevent future infection?

Primary Publication(s):

Zang C, Zhang Y, Xu J, et al. Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiative. Nature Communications. 2023;14(1):1948. doi.org/10.1038/s41467-023-37653-z

Zhang H, Zang C, Xu Z, et al. Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes. Nat Med. 2023;29:226-235. doi.org/10.1038/s41591-022-02116-3

Semantic Data Quality Standards for Multi-Center Clinical Research Studies and Networks

Posted on by Jodi Snare

Page last updated May 11, 2026

Study Design: Other, Methods to improve study design, methods to support data research networks
PCORnet Infrastructure: Common Data Model (CDM), Single IRB, Patient partners or engagement, Clinical Research Collaboration Agreement
Principal Investigator: L. Charles Bailey
Institution: The Children's Hospital of Philadelphia
PCORnet® Network Partner: PEDSnet
Funder: Patient-Centered Outcomes Research Institute (PCORI); (Project webpage)
Funding Date: 2021
Study Duration: 2021 – 2026
Participating PCORnet® Clinical Research Networks: PEDSnet
Therapeutic Area: Data Science
Condition: Data quality assessment, data quality analysis, data quality reporting, standards development
Status: Active, not recruiting

Research Question(s):

  1. Can we find ways to more accurately describe how suitable data are to answer a specific research question?
  2. What are the tools that can be used across studies to consistently describe whether the data are high quality?

Primary Publication(s):

Razzaghi H, Dickinson K, Wieand K, et al. A multifaceted approach to advancing data quality and fitness standards in multi-institutional networks. J Am Med Inform Assoc. 2025;ocaf181. doi:10.1093/jamia/ocaf181

Razzaghi H, Wieand K, Dickinson KL, et al. Beyond missingness: systematizing methods for comprehensive data fitness assessment in clinical research. J Med Internet Res. 2026;28(1):e76398. Published April 14, 2026.
doi.org/10.2196/76398

Neuroendocrine Tumors – Patient Reported Outcomes (NET-PRO)

Posted on by Jodi Snare

Page last updated April 14, 2026

ClinicalTrials.gov#: NCT05064150
Study Design: Prospective Observational Study
PCORnet Infrastructure: Common Data Model (CDM), Single IRB, Patient partners or engagement
Principal Investigator: Michael O'Rorke
Institution: University of Iowa
PCORnet® Network Partner: GPC
Funder: Patient-Centered Outcomes Research Institute (PCORI), project website
Funding Date: 2021
Study Duration: 2021 – 2027
Participating PCORnet® Clinical Research Networks: GPC, OneFlorida+, Path, STAR
Therapeutic Area: Oncology, Rare Diseases
Condition: Neuroendocrine Tumors; Gastroenteropancreatic Neuroendocrine Tumor; Lung Neuroendocrine Neoplasm; Neuroendocrine Carcinoma
Age Range: 18 Years and older (Adult, Older Adult)
Status: Active, not recruiting

Research Question(s):

Which care options work, for whom, and under which circumstances in order to improve symptom management, treatment outcomes and quality of life among NET patients?

  • Common treatment combinations and their relation to disease symptoms and quality of life
  • Identification of the best ordering of treatments and relation to patient outcomes and survival
  • The impact of patient traits and tumor characteristics on treatment choice(s) and survival

Primary Publication(s):

Hourcade JP, O'Rorke M, Chrischilles E, et al. Personal Health Record Software for Neuroendocrine Tumors: Patient Centered Design Approach. JMIR Hum Factors. 2025;12:e68788. Published 2025 Jun 3. doi:10.2196/68788