Evidence map›Paper›PMID 37240916›Full record

ReviewJournal of personalized medicine2023

Personalized Management for Heart Failure with Preserved Ejection Fraction.

Chang-Yi Lin, Heng-You Sung, Ying-Ju Chen, Hung-I Yeh, Charles Jia-Yin Hou, Cheng-Ting Tsai, Chung-Lieh Hung

Abstract readReview
In one paragraph

Review in Journal of personalized medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Iron Deficiency as a Modifiable Risk Factor in Heart Failure: Evidence and Recommendations.American journal of cardiovascular drugs : drugs, devices, and other interventions · 2026
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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.

Chang-Yi LinDivision of Cardiology, Department of Internal Medicine, MacKay Memorial Hospital, No. 92, Sec. 2, Zhongshan N. Road, Taipei 10449, Taiwan.
Heng-You SungDivision of Cardiology, Department of Internal Medicine, MacKay Memorial Hospital, No. 92, Sec. 2, Zhongshan N. Road, Taipei 10449, Taiwan.ORCID 0000-0002-5392-0287
Ying-Ju ChenTelemedicine Center, MacKay Memorial Hospital, Taipei 10449, Taiwan.
Hung-I YehDivision of Cardiology, Department of Internal Medicine, MacKay Memorial Hospital, No. 92, Sec. 2, Zhongshan N. Road, Taipei 10449, Taiwan.
Charles Jia-Yin HouDepartments of Internal Medicine, Mackay Medical College, New Taipei City 25245, Taiwan.ORCID 0000-0001-6602-5532
Cheng-Ting TsaiDivision of Cardiology, Department of Internal Medicine, MacKay Memorial Hospital, No. 92, Sec. 2, Zhongshan N. Road, Taipei 10449, Taiwan.
Chung-Lieh HungDivision of Cardiology, Department of Internal Medicine, MacKay Memorial Hospital, No. 92, Sec. 2, Zhongshan N. Road, Taipei 10449, Taiwan.ORCID 0000-0002-2858-3493

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous clinical syndrome with multiple underlying mechanisms and comorbidities that leads to a variety of clinical phenotypes. The identification and characterization of these phenotypes are essential for better understanding the precise pathophysiology of HFpEF, identifying appropriate treatment strategies, and improving patient outcomes. Despite accumulating data showing the potentiality of artificial intelligence (AI)-based phenotyping using clinical, biomarker, and imaging information from multiple dimensions in HFpEF management, contemporary guidelines and consensus do not incorporate these in daily practice. In the future, further studies are required to authenticate and substantiate these findings in order to establish a more standardized approach for clinical implementation.

Indexed as

artificial intelligenceclusterheart failure with preserved ejection fractionlatent class analysismachine learningphenotype

Identifiers

PMID37240916
PMCPMC10221280

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.