Evidence map›Paper›PMID 35689299›Full record

SynthesisPharmacoepidemiology and drug safety2022

Systematically exploring repurposing effects of antihypertensives.

Zach Shahn, Phoebe Spear, Helen Lu, Sharon Jiang, Suki Zhang, Neil Deshmukh, Shenbo Xu, Kenney Ng, Roy Welsch, Stan Finkelstein

Abstract readSystematic Review
In one paragraph

Synthesis in Pharmacoepidemiology and drug safety, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
–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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Systematically exploring repurposing effects of antihypertensives.Pharmacoepidemiology and drug safety · 2022
    Pooled it
  3. Problems associated with the ATC system of drug classification.Naunyn-Schmiedeberg's archives of pharmacology · 2026
    Article
  4. 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.

Zach ShahnDivision of Healthcare and Life Sciences, IBM Research, Armonk, New York, USA.
Phoebe SpearDepartment of Electrical Engineering and Computer Science, MIT, Cambridge, Massachusetts, USA.
Helen LuDepartment of Electrical Engineering and Computer Science, MIT, Cambridge, Massachusetts, USA.
Sharon JiangDepartment of Electrical Engineering and Computer Science, MIT, Cambridge, Massachusetts, USA.
Suki ZhangDepartment of Electrical Engineering and Computer Science, MIT, Cambridge, Massachusetts, USA.
Neil DeshmukhDepartment of Electrical Engineering and Computer Science, MIT, Cambridge, Massachusetts, USA.
Shenbo XuDepartment of Electrical Engineering and Computer Science, MIT, Cambridge, Massachusetts, USA.
Kenney NgDivision of Healthcare and Life Sciences, IBM Research, Armonk, New York, USA.
Roy WelschMIT-IBM Watson AI Lab, Cambridge, Massachusetts, USA.
Stan FinkelsteinMIT-IBM Watson AI Lab, Cambridge, Massachusetts, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With availability of voluminous sets of observational data, an empirical paradigm to screen for drug repurposing opportunities (i.e., beneficial effects of drugs on nonindicated outcomes) is feasible. In this article, we use a linked claims and electronic health record database to comprehensively explore repurposing effects of antihypertensive drugs. We follow a target trial emulation framework for causal inference to emulate randomized controlled trials estimating confounding adjusted effects of antihypertensives on each of 262 outcomes of interest. We then fit hierarchical models to the results as a form of postprocessing to account for multiple comparisons and to sift through the results in a principled way. Our motivation is twofold. We seek both to surface genuinely intriguing drug repurposing opportunities and to elucidate through a real application some study design decisions and potential biases that arise in this context.

Indexed as

Antihypertensive AgentsDrug RepositioningCausalityDatabases, FactualElectronic Health RecordsHumansRandomized Controlled Trials as TopicAntihypertensive Agentsantihypertensivescausal inferencedrug repurposinghierarchical models

Identifiers

PMID35689299
PMCPMC9545793

What Socratic holds

Textmetadata
LicenceCC BY
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.