Evidence map›Paper›PMID 29387465›Full record

ArticleCardiac failure review2017

Predictors of Post-discharge Mortality Among Patients Hospitalized for Acute Heart Failure.

Ovidiu Chioncel, Sean P Collins, Stephen J Greene, Peter S Pang, Andrew P Ambrosy, Elena-Laura Antohi, Muthiah Vaduganathan, Javed Butler, Mihai Gheorghiade

Abstract 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 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Observational
  12. Article
  13. Producing an effective care plan in advanced heart failure.European heart journal supplements : journal of the European Society of Cardiology · 2019
    Article
  14. Renal function, electrolytes, and congestion monitoring in heart failure.European heart journal supplements : journal of the European Society of Cardiology · 2019
    Article
  15. Article
  16. The Role of Troponin for Acute Heart Failure.Current heart failure reports · 2019
    Review
  17. Review
  18. 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

9 authors.

Ovidiu ChioncelCarol Davila University of Medicine and Pharmacy, Emergency Institute for Cardiovascular Diseases,Bucharest, Romania.
Sean P CollinsVanderbilt University Medical Center,Nashville,TN, USA.
Stephen J GreeneDuke Clinical Research Institute and Division of Cardiology, Duke University Medical Center,Durham, NC, USA.
Peter S PangDepartment of Emergency Medicine, Indiana University School of Medicine,Indiana, IN, USA.
Andrew P AmbrosyDuke Clinical Research Institute and Division of Cardiology, Duke University Medical Center,Durham, NC, USA.
Elena-Laura AntohiCarol Davila University of Medicine and Pharmacy, Emergency Institute for Cardiovascular Diseases,Bucharest, Romania.
Muthiah VaduganathanBrigham and Women's Hospital Heart and Vascular Center and Harvard Medical School,Boston, MA, USA.
Javed ButlerStony Brook University,Stony Brook, NY, USA.
Mihai GheorghiadeCenter for Cardiovascular Innovation, Northwestern University Feinberg School of Medicine,Chicago, IL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute Heart Failure (AHF) is a " multi-event disease" and hospitalisation is a critical event in the clinical course of HF. Despite relatively rapid relief of symptoms, hospitalisation for AHF is followed by an increased risk of death and re-hospitalisation. In AHF, risk stratification from clinically available data is increasingly important in evaluating long-term prognosis. From the perspective of patients, information on the risk of mortality and re-hospitalisation would be helpful in providing patients with insight into their disease. From the perspective of care providers, it may facilitate management decisions, such as who needs to be admitted and to what level of care (i.e. floor, step-down, ICU). Furthermore, risk-stratification may help identify patients who need to be evaluated for advanced HF therapies (i.e. left-ventricle assistance device or transplant or palliative care), and patients who need early a post-discharge follow-up plan. Finally, risk stratification will allow for more robust efforts to identify among risk markers the true targets for therapies that may direct treatment strategies to selected high-risk patients. Further clinical research will be needed to evaluate if appropriate risk stratification of patients could improve clinical outcome and resources allocation.

Indexed as

Acute heart failureprognosis modelsrisk scoresrisk stratification

Identifiers

PMID29387465
PMCPMC5739905

What OpenQuestion holds

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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.