Evidence map›Paper›PMID 23500328›Full record

ArticleJournal of the American College of Cardiology2013

Heart failure–associated hospitalizations in the United States.

Saul Blecker, Margaret Paul, Glen Taksler, Gbenga Ogedegbe, Stuart Katz

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the American College of Cardiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04828070 (The Heart Outcomes in Pregnancy Expectations), which is not on this map. Cited by 194 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
194citing papers in PubMed, 9 pooled it
20.4field-weighted citation impact, top 1% 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.

NCT04828070 active not recruitingnot on this mapstarted 2020, after this paper: background citation

The Heart Outcomes in Pregnancy Expectations (H.O.P.E) Registry Pilot

Typeobservational_patient_registrySponsorSaint Luke's Health SystemRan2020 to 2026Enrolled75ConditionsPregnancy Related, Cardiac DiseaseArmsObservation
3 · Its place in the literature

Who cites it

194 citing papers in PubMed, 9 syntheses or guidelines pooled it, 386 citations in OpenAlex.

  1. Pooled it
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  5. Efficacy and safety of catheter-based renal denervation for heart failure with reduced ejection fraction: a systematic review and meta-analysis.Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2020
    Pooled it
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  7. Efficacy and safety of bone marrow cell transplantation for chronic ischemic heart disease: a meta-analysis.Medical science monitor : international medical journal of experimental and clinical research · 2014
    Pooled it
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  17. Cardio-hepatic injury phenotypes and short-term outcomes in acute decompensated heart failure.Clinical research in cardiology : official journal of the German Cardiac Society · 2026
    Article
  18. Early discharge after clinical stabilization in acute decompensated heart failure: associations with short-term outcomes.Clinical research in cardiology : official journal of the German Cardiac Society · 2026
    Article
  19. Article
  20. Article

134 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Saul BleckerDepartment of Population Health, New York University School of Medicine, New York, New York, USA. saul.blecker@nyumc.org
Margaret Paul
Glen Taksler
Gbenga Ogedegbe
Stuart Katz
New York University · US

Funding

Health Information Technology in Heart Failure CareK08HS023683 · AHRQ · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BLECKER, SAUL B. · 2014 to 2017
$633k
Midcareer Investigator Award in Patient-Oriented Research for Dr. Gbenga OgedegbeK24HL111315 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI OGEDEGBE, OLUGBENGA G. · 2012 to 2016
$621k
AHRQ HHS K08 HS023683NHLBI NIH HHS K24 HL111315NHLBI NIH HHS K24HL111315
6 · The paper itself

Abstract

objectivesThis study sought to characterize temporal trends in hospitalizations with heart failure as a primary or secondary diagnosis.

backgroundHeart failure patients are frequently admitted for both heart failure and other causes.

methodsUsing the Nationwide Inpatient Sample (NIS), we evaluated trends in heart failure hospitalizations between 2001 and 2009. Hospitalizations were categorized as either primary or secondary heart failure hospitalizations based on the location of heart failure in the discharge diagnosis. National estimates were calculated using the sampling weights of the NIS. Age- and sex-standardized hospitalization rates were determined by dividing the number of hospitalizations by the U.S. population in a given year and using direct standardization.

resultsThe number of primary heart failure hospitalizations in the United States decreased from 1,137,944 in 2001 to 1,086,685 in 2009, whereas secondary heart failure hospitalizations increased from 2,753,793 to 3,158,179 over the same period. Age- and sex-adjusted rates of primary heart failure hospitalizations decreased steadily from 2001 to 2009, from 566 to 468 per 100,000 people. Rates of secondary heart failure hospitalizations initially increased from 1,370 to 1,476 per 100,000 people from 2001 to 2006, then decreased to 1,359 per 100,000 people in 2009. Common primary diagnoses for secondary heart failure hospitalizations included pulmonary disease, renal failure, and infections.

conclusionsAlthough primary heart failure hospitalizations declined, rates of hospitalizations with a secondary diagnosis of heart failure were stable in the past decade. Strategies to reduce the high burden of hospitalizations of heart failure patients should include consideration of both cardiac disease and noncardiac conditions.

Indexed as

AdolescentAdultAgedAged, 80 and overAge FactorsComorbidityCross-Sectional StudiesFemaleHealth Services ResearchHeart FailureHospitalizationHumansMaleMiddle AgedSex FactorsUnited States

Identifiers

PMID23500328
PMCPMC3838728
OpenAlexW2003932089

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.