Evidence mapPaperPMID 41504753Full record

ArticleMedical care2026

Development and Value of a Centralized Text Message-based Tracking and Support Program for the PRECIDENTD Study.

Lyndsay A Nelson, Erin M Bergner, Amos Adler, Charles Yoon, Kathleen Mieras, Ed Simeone, Jeremy I Lema-Driscoll, Brendan M Everett, Deborah J Wexler, Lindsay S Mayberry

Abstract read
In one paragraph

Article in Medical care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Lyndsay A NelsonDepartment of Medicine, Division of General Internal Medicine and Public Health, Vanderbilt University Medical Center, Nashville, TN.ORCID 0000-0002-7304-5643
Erin M BergnerDepartment of Medicine, Division of General Internal Medicine and Public Health, Vanderbilt University Medical Center, Nashville, TN.
Amos AdlerMEMOTEXT Corporation, Toronto, Ontario, Canada.
Charles YoonMEMOTEXT Corporation, Toronto, Ontario, Canada.
Kathleen MierasPatient Partner, PRECIDENTD Executive Committee, Rochester, MN.
Ed SimeonePatient Partner, PRECIDENTD Executive Committee, Nashua, NH.
Jeremy I Lema-DriscollDivisions of Cardiovascular and Preventive Medicine, Brigham and Women's Hospital, Boston, MA.
Brendan M EverettDivisions of Cardiovascular and Preventive Medicine, Brigham and Women's Hospital, Boston, MA.
Deborah J WexlerDiabetes Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA.
Lindsay S MayberryDepartment of Medicine, Division of General Internal Medicine and Public Health, Vanderbilt University Medical Center, Nashville, TN.ORCID 0000-0002-0654-4151

Funding

Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR002243 · VANDERBILT UNIVERSITY MEDICAL CENTER · 2025 to 2025
$10.7M
NCATS NIH HHS UL1 TR002243
6 · The paper itself

Abstract

backgroundPRECIDENTD (PRevention of CardIovascular and DiabEtic KidNey Disease in Type 2 Diabetes) is a PCORnet® Study evaluating 2 classes of medications, SGLT2 inhibitors and GLP-1 receptor agonists, among people with type 2 diabetes. Participants obtain their assigned medication through their health insurance and complete semi-annual study assessments.

objectiveWe engaged multiple partners to develop a centralized text message-based program to facilitate adherence and retention in PRECIDENTD and evaluated its performance from April 2024 to April 2025.

methodsThe PRECIDENTD study team applied best practices in digital health tool design and built the program with technology company MEMOTEXT. Patient partners identified program goals, co-wrote message content, and completed internal testing. We then deployed the program to PRECIDENTD participants and analyzed responses. MEASURES: We assessed response rate to interactive text messages, proportion of messages flagging participants needing additional support, and the adherence problems identified.

resultsThe text messaging program includes interactive messages querying if participants are taking the study medication, as well as one-way study timeline messages. During the first year, 450 PRECIDENTD participants across 20 sites received texts. Interactive message response rate was 80%, and 25% of responses identified problems (ie, trouble getting fills/refills and experiencing a health concern or side effect), prompting an outreach call.

conclusionsWe co-designed a digital tool that engaged participants and helped identify study participants needing assistance obtaining and adhering to study medications. Collaborative development of similar centralized tools may augment the capacity of national studies to answer important comparative effectiveness research questions.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2Diabetic NephropathiesHypoglycemic AgentsText MessagingAdherence InterventionsDigital HealthFemaleHumansMaleReminder SystemsHypoglycemic Agentsadherencecomparative studiesrandomized trialtechnology

Identifiers

PMID41504753
PMCPMC12783332

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.