Evidence map›Paper›PMID 38557814›Full record

ReviewCurrent cardiology reports2024

Polypill Strategy in Secondary Cardiovascular Prevention.

Alan De la Rosa, Kedzie Arrington, Rohan Desai, Prakrati C Acharya

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current cardiology reports, 2024. 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
1.0field-weighted citation impact, top 24% of its field
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, 2 citations in OpenAlex.

  1. Review
  2. 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

4 authors at 1 institution in 1 country.

Alan De la RosaDivision of Internal Medicine, Texas Tech University Health Sciences Center, El Paso, TX, USA.
Kedzie ArringtonPaul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, TX, 79905, USA.
Rohan DesaiDivision of Cardiovascular Medicine, Texas Tech University Health Sciences Center, El Paso, TX, USA.
Prakrati C AcharyaDivision of Nephrology Medicine, Texas Tech University Health Sciences Center, El Paso, TX, USA. Prakrati.Acharya@ttuhsc.edu.
Texas Tech University Health Sciences Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThe polypill strategy, originally developed to improve medication adherence, has demonstrated efficacy in improving baseline systolic blood pressures and cholesterol levels in multiple clinical trials. However, the long-term clinical impact of improved major cardiovascular events (MACE) outcomes by the polypill remains uncertain. RECENT

findingsRecent trials with long-term follow-up, which included minority groups and people with low socioeconomic status, have shown non-inferiority with no difference in adverse effects rates for the secondary prevention of MACE. Although the polypill strategy was initially introduced to improve adherence to guideline-directed medical therapy (GDMT) for cardiovascular complications, the strategy has surpassed standard medical treatment for secondary prevention of MACE outcomes. Studies also showed improved medication compliance in underserved populations.

Indexed as

Cardiovascular DiseasesMedication AdherenceSecondary PreventionAnticholesteremic AgentsAntihypertensive AgentsDrug CombinationsHumansHydroxymethylglutaryl-CoA Reductase InhibitorsAnticholesteremic AgentsAntihypertensive AgentsDrug CombinationsHydroxymethylglutaryl-CoA Reductase InhibitorsACSCardiovascular riskFixed-dose medicationMACEPolypillSecondary preventionTherapeutic adherence

Identifiers

PMID38557814
OpenAlexW4393379409

What OpenQuestion holds

Texttitle and abstract
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.