Evidence map›Paper›PMID 26730296›Full record

ReviewWorld journal of cardiology2015

Predicting mortality in patients with acute heart failure: Role of risk scores.

Andrea Passantino, Francesco Monitillo, Massimo Iacoviello, Domenico Scrutinio

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in World journal of cardiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 pooled it
–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

37 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Baseline fragmented QRS is associated with increased all-cause mortality in heart failure with reduced ejection fraction: A systematic review and meta-analysis.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2019
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

4 authors.

Andrea PassantinoAndrea Passantino, Domenico Scrutinio, Division of Cardiology and Cardiac Rehabilitation, "S. Maugeri" Foundation, IRCCS, Institute of Cassano Murge, 70020 Bari, Italy.
Francesco MonitilloAndrea Passantino, Domenico Scrutinio, Division of Cardiology and Cardiac Rehabilitation, "S. Maugeri" Foundation, IRCCS, Institute of Cassano Murge, 70020 Bari, Italy.
Massimo IacovielloAndrea Passantino, Domenico Scrutinio, Division of Cardiology and Cardiac Rehabilitation, "S. Maugeri" Foundation, IRCCS, Institute of Cassano Murge, 70020 Bari, Italy.
Domenico ScrutinioAndrea Passantino, Domenico Scrutinio, Division of Cardiology and Cardiac Rehabilitation, "S. Maugeri" Foundation, IRCCS, Institute of Cassano Murge, 70020 Bari, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute heart failure is a leading cause of hospitalization and death, and it is an increasing burden on health care systems. The correct risk stratification of patients could improve clinical outcome and resources allocation, avoiding the overtreatment of low-risk subjects or the early, inappropriate discharge of high-risk patients. Many clinical scores have been derived and validated for in-hospital and post-discharge survival; predictive models include demographic, clinical, hemodynamic and laboratory variables. Data sets are derived from public registries, clinical trials, and retrospective data. Most models show a good capacity to discriminate patients who reach major clinical end-points, with C-indices generally higher than 0.70, but their applicability in real-world populations has been seldom evaluated. No study has evaluated if the use of risk score-based stratification might improve patient outcome. Some variables (age, blood pressure, sodium concentration, renal function) recur in most scores and should always be considered when evaluating the risk of an individual patient hospitalized for acute heart failure. Future studies will evaluate the emerging role of plasma biomarkers.

Indexed as

Acute heart failureOutcomePrognosisRisk stratificationScoring

Identifiers

PMID26730296
PMCPMC4691817

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.