Evidence map›Paper›PMID 41929336›Full record

ArticlemedRxiv : the preprint server for health sciences2026

REACT (Real-world Emulated Clinical Trials): A Framework for Drug Repurposing Applied to Osteoporotic Fractures.

Jianing Liu, Seungyeon Lee, Xianhui Chen, Soledad A Fernández, Qing Wu, Ping Zhang

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Jianing LiuDepartment of Biomedical Informatics, The Ohio State University, Columbus, Ohio, USA.ORCID 0009-0003-7131-7195
Seungyeon LeeDepartment of Biomedical Informatics, The Ohio State University, Columbus, Ohio, USA.
Xianhui ChenDepartment of Biomedical Informatics, The Ohio State University, Columbus, Ohio, USA.
Soledad A FernándezDepartment of Biomedical Informatics, The Ohio State University, Columbus, Ohio, USA.
Qing WuDepartment of Biomedical Informatics, The Ohio State University, Columbus, Ohio, USA.ORCID 0000-0003-4679-8903
Ping ZhangDepartment of Biomedical Informatics, The Ohio State University, Columbus, Ohio, USA.ORCID 0000-0002-4601-0779

Funding

Does Creating Person-specific Precision Thresholds Enhance the Ability of a Single Bone Density Measure to Predict Fractures in Minority Women?R01AG080017 · NIA · OHIO STATE UNIVERSITY · PI Qing Wu · 2024 to 2026
$1.9M
NIA NIH HHS R01 AG080017
6 · The paper itself

Abstract

Osteoporotic fractures remain common despite available therapies, highlighting the need for new, safe, and affordable treatment options. Advances in real-world data and causal inference have enabled target trial emulation, with prior frameworks demonstrating drug repurposing using observational data. However, no large-scale trial emulation framework has been applied to systematic drug repurposing for osteoporotic fracture prevention. To address this gap, we developed REACT (Real-world Emulated Clinical Trials), a scalable framework that operationalizes established target trial principles into an automated, comparator-robust pipeline for high-throughput drug screening. Applied to fracture prevention in older adults with osteoporosis, REACT screened 1,222 drugs and identified 18 with statistically significant associations, including 11 with protective effects and 7 with risk-increasing effects. The convergence of these findings with biological and prior observational evidence underscores REACT's ability to surface clinically meaningful patterns and its potential as a generalizable platform for accelerating real-world drug discovery and safety surveillance.

Identifiers

PMID41929336
PMCPMC13042124

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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.