Evidence map›Paper›PMID 37292053›Full record

SynthesisESC heart failure2023

Validation of heart failure algorithm for diagnosing heart failure with preserved ejection fraction: a meta-analysis.

Shu Li, Xiaomei Zhu, Yunlong Zhang, Fengjie Li, Shubin Guo

Open access · goldAbstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in ESC heart failure, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
2.4field-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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Review
  6. Article
  7. 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

5 authors at 4 institutions in 1 country.

Shu LiDepartment of Emergency Medicine, Beijing Luhe Hospital, Capital Medical University, Beijing, China.
Xiaomei ZhuDepartment of Emergency Medicine, Beijing Chao-Yang Hospital, Capital Medical University, & Beijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation, Beijing, China.
Yunlong ZhangDepartment of Cardiology Institute of Cardiovascular Diseases, First Affiliated Hospital of Dalian Medical University, Dalian, China.
Fengjie LiDepartment of Emergency Medicine, Beijing Luhe Hospital, Capital Medical University, Beijing, China.
Shubin GuoDepartment of Emergency Medicine, Beijing Chao-Yang Hospital, Capital Medical University, & Beijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation, Beijing, China.
Beijing Chao-Yang Hospital · CNBeijing Luhe Hospital Affiliated to Capital Medical University · CNCapital Medical University · CNFirst Affiliated Hospital of Dalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the meta-analysis was to generate a more comprehensive understanding of the HFA-PEFF score in the diagnosis of heart failure with preserved ejection fraction (HFpEF) and to pose clues in the field of scientific and clinical practice. Electronic databases of PubMed, Web of Science, Cochrane Library, and Embase were systematically searched. Studies investigating the use of the HFA-PEFF score to diagnose HFpEF were included. Pooled sensitivity, specificity, positive likelihood ratio (PLR) and negative Likelihood Ratio (NLR), diagnostic odds ratio (DOR), area under the curve of summary receiver operating characteristic, and superiority index were calculated. Five studies with 1521 participants were included in this meta-analysis. In the pooled analysis of the 'Rule-out' approach, the pooled sensitivity, specificity, PLR, NLR, and DOR were 0.98 (0.94, 1.00), 0.33 (0.08, 0.73), 1.5 (0.8, 2.5), 0.05 (0.02, 0.17), and 28 (6, 127). In the pooled analysis of the 'Rule-in' approach, the pooled sensitivity and specificity, PLR, NLR, and DOR were 0.69 (0.62, 0.75), 0.87 (0.64, 0.96), 5.5 (1.8, 16.9), 0.35 (0.30, 0.41), and 16 (5, 50). This meta-analysis indicates that the HFA-PEFF algorithm showed acceptable specificity and sensitivity for the diagnosis and exclusion of HFpEF. More relevant studies on the diagnostic validity of the HFA-PEFF score are needed in the future.

Indexed as

Heart FailureAlgorithmsHumansROC CurveSensitivity and SpecificityStroke VolumeDiagnosisHFA-PEFFHFpEFMeta-analysis

Identifiers

PMID37292053
PMCPMC10375189
OpenAlexW4379967382

What OpenQuestion holds

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LicenceCC BY-NC
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.