Evidence map›Paper›PMID 28915848›Full record

ArticleBMC cardiovascular disorders2017

Anemia in severe heart failure patients: does it predict prognosis?

Tamrat Befekadu Abebe, Eyob Alemayehu Gebreyohannes, Akshaya Srikanth Bhagavathula, Yonas Getaye Tefera, Tadesse Melaku Abegaz

Abstract readComparative Study
In one paragraph

Article in BMC cardiovascular disorders, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. The association of anemia as a risk of heart failure.Journal of family medicine and primary care · 2020
    Article
  15. Article
  16. Association between Anemia and Cognitive Impairment among Elderly Patients with Heart Failure.International journal of environmental research and public health · 2019
    Article
  17. 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.

Tamrat Befekadu AbebeDepartment of Clinical Pharmacy, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia. Befekadutamrat@gmail.com.ORCID http://orcid.org/0000-0002-9367-7592
Eyob Alemayehu GebreyohannesDepartment of Clinical Pharmacy, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Akshaya Srikanth BhagavathulaDepartment of Clinical Pharmacy, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Yonas Getaye TeferaDepartment of Clinical Pharmacy, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Tadesse Melaku AbegazDepartment of Clinical Pharmacy, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnemia is highly prevalent in heart failure (HF) patients. However, the prevalence, clinical impact and prognostic factor of anemia in heart failure patients is widely varies. The aim of this study was to evaluate the prevalence of anemia in patients with HF, to compare baseline clinical characteristic and outcomes of severe HF patients with and without anemia admitted to Gondar University Referral Hospital (GURH), Gondar, Ethiopia.

methodA retrospective cohort study was conducted and we assessed medical records of heart failure patients who were admitted Gondar University Referral Hospital in the period between December 02, 2010 and November 30, 2016. Kaplan Meier curve was used to analyze the survival status and log rank test was used to compare the curves. Multivariate Cox regression was used to analyze independent predictors of mortality in all HF patients. P value less than 0.05 was considered statistically significant.

resultThree hundred and seventy patients participated in the study. The prevalence of anemia in the study cohorts was 41.90% and majority of the participants were females (64.59%). There was a significant difference in the level of hemoglobin, creatinine, and sodium among anemic and non-anemic patients. Anemic patients with HF tend to take angiotensin converting enzyme inhibitors (ACEI) less frequently. Kaplan Meier survival curves and Log rank test (P = 0.042) showed a significant difference in the prognosis of HF patients with anemia and non - anemic. More significant difference was observed (Log rank test, P = 0.001) in the study participants based on hemoglobin level. Furthermore, multivariate Cox regression showed: advanced age, levels of lower sodium and higher creatinine, and absences of medications like ACEI and Spironolactone independently predicted overall mortality.

conclusionHF patients with anemia tend to be older age, had lower hemoglobin and sodium level and higher creatinine value. Moreover, there was a significant difference in the prognosis between study cohorts, as anemic pateints tend to have a worse survival status . Even though, anemia is a significant risk marker, it is not an independent predictor of mortality in the current study.

Indexed as

AnemiaEthiopiaFemaleFollow-Up StudiesHeart FailureHemoglobinsHumansMaleMiddle AgedPrevalencePrognosisRetrospective StudiesRisk FactorsSurvival RateHemoglobinsEthiopiaHeart FailureHemoglobinMedical recordsMortalityPrognosisSurvival

Identifiers

PMID28915848
PMCPMC5603085

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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.