Evidence map›Paper›PMID 42702729›Full record

ArticleClinical pharmacology and therapeutics2026

Enhancing Evidence Generation by Linking Randomized Clinical Trials to Real-World Data: The INVESTED-Medicare Linkage Study.

Hanseul Cho, HoJin Shin, Mehdi Najafzadeh, Brian Claggett, Janinne Ortega-Montiel, Jun Liu, Julie M Paik, Narlina F Lalani, Marie C Bradley, John Concato and 3 more

Abstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Real-World Evidence-Current Developments and Perspectives.International journal of environmental research and public health · 2022
    Review
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

13 authors.

Hanseul Cho *Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.ORCID https://orcid.org/0009-0005-7463-4094
HoJin Shin *Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-2032-6134
Mehdi NajafzadehUCB, Cambridge, Massachusetts, USA.ORCID https://orcid.org/0000-0003-4503-1057
Brian ClaggettCardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-4215-9218
Janinne Ortega-MontielDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0001-8196-6648
Jun LiuDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Julie M PaikDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-1315-5445
Narlina F LalaniVA Health Care System, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0009-0007-3238-3869
Marie C BradleyOffice of Medical Policy, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, USA.ORCID https://orcid.org/0000-0002-6266-4414
John ConcatoDepartment of Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0003-2846-0503
Scott D SolomonCardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0003-3698-9597
Orly VardenyDepartment of Medicine, University of Minnesota, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0002-6387-1351
Elisabetta PatornoDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-8809-9898

Funding

Novel approaches to improve comparative effectiveness research of medical and surgical weight reduction strategies in clinical practiceR01DK138036 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI Elisabetta Patorno · 2024 to 2026
$2.3M
FDA HHS 5U01FD007213FDA HHS U01 FD007213NIDDK NIH HHS R01 DK138036NIDDK NIH HHS R01DK138036Patient-Centered Outcomes Research Institute DB-2020C2-20326
6 · The paper itself

Abstract

Real-world evidence (RWE) derived from real-world data (RWD) can complement randomized controlled trials (RCTs), yet the validity of RWD relative to RCT data remains insufficiently characterized. We obtained post hoc consent and linked individual participant data from the US-based INVESTED trial (2016-2019) with Medicare fee-for-service claims (2012-2020) to validate demographic factors, baseline characteristics (using 183-, 365-, and 730-day lookback periods) and outcomes, and to assess post-trial events. Among 5260 trial participants, 126 were enrolled and eligible for linkage. Among 115 participants with demographic information available from Medicare enrollment files, agreement between RCT- and RWD-based demographic factors was high: only one major age discrepancy, 100% agreement for sex, and an overall agreement of 0.89 for race. Participants with Medicare claims data (n = 65) were older and more likely to be White compared with the overall RCT population. For the 365-day lookback period, baseline comorbidities showed high sensitivity (median 0.80) and specificity (0.89), as did medication use (sensitivity 1.00, specificity 0.88). Lengthening the lookback period to 730 days increased sensitivity but decreased specificity, whereas shortening to 183 days decreased sensitivity but increased specificity. Clinical outcomes showed high specificity (0.88-0.94) but low sensitivity (0.18-0.50). Among those with Medicare coverage beyond the trial end date (n = 45), 22% experienced cardiopulmonary, 18% cardiovascular, and 7% heart failure (HF) hospitalizations, highlighting the value of RWD for extending RCT evidence. Proactive planning of future RCT-RWD linkage initiatives can improve the efficiency of linkage studies, leading to more actionable results.

Identifiers

PMID42702729
PMCPMC13547545

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.