Evidence map›Paper›PMID 41288548›Full record

ReviewThe Canadian journal of cardiology2025

The Economics of Cardiac Rehabilitation in North, Central, and South America: A Narrative Review.

Sérgio R R Decker, Dhruv S Kazi

Abstract readReview
In one paragraph

Review in The Canadian journal of cardiology, 2025. 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. 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

2 authors.

Sérgio R R DeckerRichard A. and Susan F. Smith Center for Outcomes Research, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA; Department of Medicine (Cardiology), Harvard Medical School, Boston, Massachusetts, USA; Department of Internal Medicine, Moinhos de Vento Hospital, Porto Alegre, Brazil. Electronic address: https://x.com/SrgioDecker.
Dhruv S KaziRichard A. and Susan F. Smith Center for Outcomes Research, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA; Department of Medicine (Cardiology), Harvard Medical School, Boston, Massachusetts, USA. Electronic address: dkazi@bidmc.harvard.edu.

Funding

Leveraging Large Linked Datasets and Novel Analytic Methods to Understand the Long-term Effectiveness and Value of Cardiac Rehabilitation in Understudied PopulationsR01HL175300 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Dhruv Satish Kazi · 2024 to 2026
$2.2M
NHLBI NIH HHS R01 HL175300
6 · The paper itself

Abstract

Cardiac rehabilitation (CR) is an effective strategy for the secondary prevention of cardiovascular disease in individuals living with ischemic heart disease or heart failure, and among patients who have recently undergone cardiovascular surgery. Although CR is recommended by clinical guidelines and typically covered by payers, its uptake has been low. This is in part because of substantial economic barriers to accessing CR. Understanding the economics of CR from the perspective of various stakeholders -including patients, clinicians, health systems, and payers - is critical to developing strategies that optimize CR supply and demand, and increase uptake among populations most likely to benefit from this therapy. In this review, we summarize the currently available evidence, highlight current knowledge gaps, and identify key questions that should be prioritized in future research to guide the implementation of CR delivery.

Indexed as

Cardiac RehabilitationCardiovascular DiseasesSecondary PreventionHumansNorth AmericaSouth Americacardiac rehabilitationcardiovascular diseasecost effectivenessglobal healthvalue

Identifiers

PMID41288548
PMCPMC12967207

What OpenQuestion 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 OpenQuestion graph.