Evidence map›Paper›PMID 33305203›Full record

ArticleCJC open2020

Cost-Effectiveness of Earlier Transition to Angiotensin Receptor Neprilysin Inhibitor in Patients With Heart Failure and Reduced Ejection Fraction.

Andrew D M Grant, Derek S Chew, Jonathan G Howlett, Robert J H Miller

Open access · goldAbstract read
In one paragraph

Article in CJC open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Model parameters influencing the cost-effectiveness of sacubitril/valsartan in heart failure: evidence from a systematic literature review.The European journal of health economics : HEPAC : health economics in prevention and care · 2023
    Pooled it
  2. Article
  3. 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 2 institutions in 2 countries.

Andrew D M GrantDepartment of Cardiac Sciences, Libin Cardiovascular Institute of Alberta, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Derek S ChewDepartment of Cardiac Sciences, Libin Cardiovascular Institute of Alberta, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Jonathan G HowlettDepartment of Cardiac Sciences, Libin Cardiovascular Institute of Alberta, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Robert J H MillerDepartment of Cardiac Sciences, Libin Cardiovascular Institute of Alberta, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Libin Cardiovascular Institute of Alberta · CAUniversity of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAngiotensin receptor neprilysin inhibitor (ARNi) therapy improves clinical outcomes in patients with heart failure and reduced left ventricular ejection fraction. However, ARNi therapy uptake remains modest, potentially in part due to perceived cost considerations of early transition from angiotensin converting enzyme inhibitor or angiotensin receptor blocker therapy.

methodsWe constructed a decision-analytic Markov model to assess cost-effectiveness of 3 different ARNi initiation strategies according to timing of initiation: (1)

resultsCurrent care was associated with the lowest total cost (CAD$26,664) and accrued benefit (3.28 QALYs). The

conclusionA strategy of

Identifiers

PMID33305203
PMCPMC7710928
OpenAlexW3033915126

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.