Evidence map›Paper›PMID 28785472›Full record

ArticleCardiac failure review2017

Expert Comment: Is Medication Titration in Heart Failure too Complex?

John J Atherton, Annabel Hickey

Open access · goldAbstract read
In one paragraph

Article in Cardiac failure review, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Observational
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Article
  12. The art and science of drug titration.Therapeutic advances in drug safety · 2020
    Review
  13. Who approves/pays for additional monitoring?European heart journal supplements : journal of the European Society of Cardiology · 2019
    Article
  14. 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

2 authors at 2 institutions in 1 country.

John J AthertonDepartment of Cardiology, Royal Brisbane and Women's Hospital,Brisbane, Queensland, Australia.
Annabel HickeyAdvanced Heart Failure and Cardiac Transplant Unit, The Prince Charles Hospital,Brisbane, Queensland, Australia.
Prince Charles Hospital · AUQueensland University of Technology · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large-scale randomised controlled trials (RCTs) have demonstrated that angiotensin-converting enzyme inhibitors, angiotensin receptor blockers and beta-blockers decrease mortality and hospitalisation in patients with heart failure (HF) associated with a reduced left ventricular ejection fraction. This has led to high prescription rates; however, these drugs are generally prescribed at much lower doses than the doses achieved in the RCTs. A number of strategies have been evaluated to improve medication titration in HF, including forced medication up-titration protocols, point-of-care decision support and extended scope of clinical practice for nurses and pharmacists. Most successful strategies have been multifaceted and have adapted existing multidisciplinary models of care. Furthermore, given the central role of general practitioners in long-term monitoring and care coordination in HF patients, these strategies should engage with primary care to facilitate the transition between the acute and primary healthcare sectors.

Indexed as

angiotensin-converting enzyme inhibitorangiotensin receptor blockerbeta-blockerHeart failuretitration

Identifiers

PMID28785472
PMCPMC5494159
OpenAlexW2610522561

What OpenQuestion holds

Textmetadata
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.