Evidence map›Paper›PMID 25324354›Full record

ArticleJournal of the American Heart Association2014

Short- and long-term rehospitalization and mortality for heart failure in 4 racial/ethnic populations.

Rey P Vivo, Selim R Krim, Li Liang, Megan Neely, Adrian F Hernandez, Zubin J Eapen, Eric D Peterson, Deepak L Bhatt, Paul A Heidenreich, Clyde W Yancy and 1 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Journal of the American Heart Association, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 4% 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

50 citing papers in PubMed, 1 synthesis or guideline pooled it, 84 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
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  5. Review
  6. Racial and Socioeconomic Health Disparities in Peripheral Artery Disease.Journal of the American Heart Association · 2024
    Review
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  8. Article
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  11. Article
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  16. Predicting survival in heart failure: a risk score based on machine-learning and change point algorithm.Clinical research in cardiology : official journal of the German Cardiac Society · 2021
    Article
  17. Review
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  19. Review
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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

11 authors at 6 institutions in 1 country.

Rey P VivoRonald Reagan-UCLA Medical Center, Los Angeles, CA (R.P.V., G.C.F.).
Selim R KrimOchsner Heart and Vascular Institute, New Orleans, LA (S.R.K.).
Li LiangDuke Clinical Research Institute, Durham, NC (L.L., M.N., A.F.H., Z.J.E., E.D.P.).
Megan NeelyDuke Clinical Research Institute, Durham, NC (L.L., M.N., A.F.H., Z.J.E., E.D.P.).
Adrian F HernandezDuke Clinical Research Institute, Durham, NC (L.L., M.N., A.F.H., Z.J.E., E.D.P.).
Zubin J EapenDuke Clinical Research Institute, Durham, NC (L.L., M.N., A.F.H., Z.J.E., E.D.P.).
Eric D PetersonDuke Clinical Research Institute, Durham, NC (L.L., M.N., A.F.H., Z.J.E., E.D.P.).
Deepak L BhattBrigham and Women's Hospital and Harvard Medical School, Boston, MA (D.L.B.).
Paul A HeidenreichVA Palo Alto Health Care System, 3801 Miranda Ave., Palo Alto, CA (P.A.H.).
Clyde W YancyNorthwestern University Feinberg School of Medicine, Chicago, IL (C.W.Y.).
Gregg C FonarowRonald Reagan-UCLA Medical Center, Los Angeles, CA (R.P.V., G.C.F.).
Clinical Research Institute · USRonald Reagan UCLA Medical Center · USHarvard University · USNorthwestern University · USOchsner Medical Center · USVA Palo Alto Health Care System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe degree to which outcomes following hospitalization for acute heart failure (HF) vary by racial and ethnic groups is poorly characterized. We sought to compare 30-day and 1-year rehospitalization and mortality rates for HF among 4 race/ethnic groups. METHODS AND

resultsUsing the Get With The Guidelines-HF registry linked with Medicare data, we compared 30-day and 1-year outcomes between racial/ethnic groups by using a multivariable Cox proportional hazards model adjusting for clinical, hospital, and socioeconomic status characteristics. We analyzed 47 149 Medicare patients aged ≥65 years who had been discharged for HF between 2005 and 2011: there were 39 213 whites (83.2%), 4946 blacks (10.5%), 2347 Hispanics (5.0%), and 643 Asians/Pacific Islanders (1.4%). Relative to whites, blacks and Hispanics had higher 30-day and 1-year unadjusted readmission rates but lower 30-day and 1-year mortality; Asians had similar 30-day readmission rates but lower 1-year mortality. After risk adjustment, blacks had higher 30-day and 1-year CV readmission than whites but modestly lower short- and long-term mortality; Hispanics had higher 30-day and 1-year readmission rates and similar 1-year mortality than whites, while Asians had similar outcomes. When socioeconomic status data were added to the model, the majority of associations persisted, but the difference in 30-day and 1-year readmission rates between white and Hispanic patients became nonsignificant.

conclusionsAmong Medicare patients hospitalized with HF, short- and long-term readmission rates and mortality differed among the 4 major racial/ethnic populations and persisted even after controlling for clinical, hospital, and socioeconomic status variables.

Indexed as

Hospital MortalityLength of StayAgedAged, 80 and overAsianBlack or African AmericanFemaleGeriatric AssessmentHeart FailureHispanic or LatinoHospitalizationHumansMaleMedicareMultivariate AnalysisPatient Readmissionhealth policy and outcome researchheart failurerace/ethnicityrehospitalization

Identifiers

PMID25324354
PMCPMC4323790
OpenAlexW2170899084

What OpenQuestion holds

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LicenceCC BY-NC
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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.