Evidence map›Paper›PMID 40098294›Full record

ArticlePharmacoepidemiology and drug safety2025

High-Throughput Screening for Prescribing Cascades Among Real-World Angiotensin-Converting Enzyme Inhibitor Initiators.

Asinamai M Ndai, Kayla Smith, Shailina Keshwani, Jaeyoung Choi, Michael Luvera, Julia Hunter, Rebecca Galvan, Tanner Beachy, Matt Molk, Shannon Wright and 6 more

Abstract read
In one paragraph

Article in Pharmacoepidemiology and drug safety, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Asinamai M NdaiDepartment of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA.ORCID 0000-0002-2517-3915
Kayla SmithDepartment of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA.ORCID 0009-0001-7308-5397
Shailina KeshwaniDepartment of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA.ORCID 0000-0002-9961-2511
Jaeyoung ChoiDepartment of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA.
Michael LuveraDepartment of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA.
Julia HunterDepartment of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA.
Rebecca GalvanDepartment of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA.
Tanner BeachyDepartment of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA.
Matt MolkDepartment of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA.
Shannon WrightDepartment of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA.
Marianna CalvetDepartment of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA.
Carl J PepineDivision of Cardiovascular Medicine, Department of Medicine, University of Florida College of Medicine, Gainesville, Florida, USA.ORCID 0000-0002-6011-681X
Stephan SchmidtDepartment of Pharmaceutics, College of Pharmacy, University of Florida, Gainesville, Florida, USA.ORCID 0000-0002-4998-1167
Scott M VouriPfizer, Inc., USA.ORCID 0000-0002-0411-2160
Earl J MorrisDepartment of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA.ORCID 0000-0002-6092-8906
Steven M SmithDepartment of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA.ORCID 0000-0002-0201-839X

Funding

High-throughput screening for antihypertensive prescribing cascadesR21HL159576 · NHLBI · UNIVERSITY OF FLORIDA · PI SMITH, STEVEN MICHAEL · 2022 to 2023
$229k
NHLBI NIH HHS R21 HL159576NHLBI NIH HHS R21HL159576NIH HHS
6 · The paper itself

Abstract

purposeAngiotensin-converting enzyme inhibitors (ACEIs) are commonly prescribed, but their adverse effects may prompt new drug prescription(s), known as prescribing cascades (PCs). We aimed to identify potential ACEI-induced PCs using high-throughput sequence symmetry analysis.

methodsUsing claims data from a national sample of Medicare beneficiaries (2011-2020), we identified new ACEI users aged ≥ 66 years with continuous enrollment ≥ 360 days before and ≥ 180 days after ACEI initiation. We screened for initiation of 446 other (non-antihypertensive) "marker" drug classes within ±90 days of ACEI initiation, generating sequence ratios (SRs) reflecting proportions of ACEI users starting the marker class after versus before ACEI initiation. Adjusted SRs (aSRs) accounted for prescribing trends over time. For significant aSRs, we calculated the naturalistic number needed to harm (NNTH), and significant signals underwent clinical review for plausibility.

resultsWe identified 308 579 ACEI initiators (mean age 76.1 ± 7.5 years; 59.6% female; 88.6% with hypertension). Of 446 marker classes evaluated, 81 signals were significant, and 42 (52%) classified as potential PCs after clinical review. The strongest signals ranked by lowest NNTH included corticosteroids (NNTH 313; 95% CI, 262-392) and serotonin type 3 (5-HT

conclusionIdentified prescribing cascade signals were indicative of known and possibly underrecognized ACEI adverse events in this Medicare cohort. The findings are hypothesis-generating and require further investigation to determine the extent and impact of the identified PCs on health outcomes.

Indexed as

Angiotensin-Converting Enzyme InhibitorsDrug PrescriptionsHigh-Throughput Screening AssaysPractice Patterns, Physicians'AgedAged, 80 and overFemaleHumansMaleMedicareUnited StatesAngiotensin-Converting Enzyme InhibitorsACE inhibitors (ACEIs)adverse eventsantihypertensive drugsMedicare beneficiariesolder adultsprescribing cascadessequence symmetry analysis

Identifiers

PMID40098294
PMCPMC12067835

What Socratic holds

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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.