Evidence map›Paper›PMID 40060217›Full record

ArticleCJC open2025

Guideline-Referral Criteria and Risk Profiles of Outpatients Referred to a Specialised Heart Failure Clinic.

Isabelle J Tan, Batol Barodi, Tayler A Buchan, Lakshmi Kugathasan, Michael McDonald, Heather Ross, Ana C Alba

Abstract read
In one paragraph

Article in CJC open, 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

7 authors.

Isabelle J TanTed Rogers Centre for Heart Research, University Health Network, Toronto, Ontario, Canada.
Batol BarodiPeter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada.
Tayler A BuchanPeter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada.
Lakshmi KugathasanPeter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada.
Michael McDonaldTed Rogers Centre for Heart Research, University Health Network, Toronto, Ontario, Canada.
Heather RossTed Rogers Centre for Heart Research, University Health Network, Toronto, Ontario, Canada.
Ana C AlbaTed Rogers Centre for Heart Research, University Health Network, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Specialised heart failure (HF) care improves outcomes for patients with HF. To understand the risk profiles of HF outpatients referred to a specialised clinic, we evaluated referral reasons, predicted risk, and the presence of guideline-recommended referral criteria at a large specialised HF clinic. Methods: We conducted a cross-sectional study including outpatients with HF (≥ 18 years old) referred from November 2021 to November 2022. We calculated 1-year predicted mortality with the use of the Seattle Heart Failure Model (SHFM) and the I-NEED-HELP referral criteria. We compared median SHFM-predicted mortality with referral reasons and the I-NEED-HELP criteria by means of Kruskal-Wallis, Wilcoxon rank-sum, chi-square, and Fisher exact tests. Results: Among 245 consecutive HF outpatients included, median SHFM-predicted 1-year mortality was 4% (interquartile range [IQR] 2%-8%). Reasons for referral included evaluation for advanced therapies (29%), medication optimisation (23%), diagnostic evaluation (19%), post-hospitalisation/emergency department visit (14%), ongoing HF management (12%), patient request (2%), and transition to adult care (1%). The median SHFM-predicted 1-year mortality did not differ significantly by referral reason ( Conclusions: Patients referred to a specialised HF clinic have a wide risk range. The difference in predicted mortality among patients meeting any vs no I-NEED-HELP criteria appears clinically insignificant. Incorporating model-predicted risk at the time of referral can guide triage and patient prioritisation.

Identifiers

PMID40060217
PMCPMC11886373

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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.