Evidence map›Paper›PMID 30541443›Full record

Observational studyBMC cardiovascular disorders2018

Validation of heart failure quality of life tool and usage to predict all-cause mortality in acute heart failure in Uganda: the Mbarara heart failure registry (MAHFER).

Samson Okello, Fardous Charles Abeya, Boniface Amanee Elias Lumori, Suzan Joan Akello, Christopher Charles Moore, Brian H Annex, Andrew J Buda

Open access · goldAbstract readObservational StudyValidation Study
In one paragraph

Observational study in BMC cardiovascular disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
0.5field-weighted citation impact, top 29% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. 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

7 authors at 2 institutions in 2 countries.

Samson OkelloDepartment of Internal Medicine, Mbarara University of Science and Technology, P. O Box 1410, Mbarara, Uganda. okello.samson@must.ac.ug.ORCID 0000-0001-7377-6094
Fardous Charles AbeyaDepartment of Internal Medicine, Mbarara University of Science and Technology, P. O Box 1410, Mbarara, Uganda.
Boniface Amanee Elias LumoriDepartment of Internal Medicine, Mbarara University of Science and Technology, P. O Box 1410, Mbarara, Uganda.
Suzan Joan AkelloDepartment of Educational Foundations and Psychology, Mbarara University of Science and Technology, Mbarara, Uganda.
Christopher Charles MooreDepartment of Internal Medicine, Mbarara University of Science and Technology, P. O Box 1410, Mbarara, Uganda.
Brian H AnnexDepartment of Medicine, University of Virginia Health System, Charlottesville, Virginia, USA.
Andrew J BudaDepartment of Medicine, University of Virginia Health System, Charlottesville, Virginia, USA.
Mbarara University of Science and Technology · UGUniversity of Virginia Health System · US

Funding

Polycyclic aromatic hydrocarbons exposure and dietary risk of Esophageal squamous cell carcinoma in UgandaK43TW010715 · FIC · MBARARA UNIVERSITY/SCIENCE/ TECHNOLOGY · PI OKELLO, SAMSON · 2017 to 2021
$456k
FIC NIH HHS K43 TW010715
6 · The paper itself

Abstract

backgroundThe health-related quality of life (HRQoL) is an important treatment goal that could serve as low-cost prognostication tool in resource poor settings. We sought to validate the Kansas City Cardiomyopathy Questionnaire (KCCQ) and evaluate its use as a predictor of 3 months all-cause mortality among heart failure participants in rural Uganda.

methodsThe Mbarara Heart Failure Registry Cohort study observes heart failure patients during hospital stay and in the community in rural Uganda. Participants completed health failure evaluations and HRQoL questionnaires at enrollment, 1 and 3 months of follow-up. We used Cronbach's alpha coefficients to define internal consistency, intraclass correlation coefficients as a reliability coefficient, and Cox proportional hazard models to predict the risk of 3 months all-cause mortality.

resultsAmong the 195 participants who completed HRQoL questionnaires, the mean age was 52 (standard deviation (SD) 21.4) years, 68% were women and 29% reported history of hypertension. The KCCQ had excellent internal consistency (87% Cronbach alpha) but poor reliability. Independent predictors of all-cause mortality within 3 months included: worse overall KCCQ score (Adjusted Hazard ratio (AHR) 2.9, 95% confidence interval (CI) 1.1, 8.1), highest asset ownership (AHR 3.6, 95% CI 1.2, 10.8), alcoholic drinks per sitting (AHR per 1 drink 1.4, 95% CI 1.0, 1.9), New York Heart Association (NYHA) functional class IV heart failure (AHR 2.6, 95% CI 1.3, 5.4), estimated glomerular filtration rate (eGFR) 30 to 59 ml/min/1.73 m

conclusionThe KCCQ showed excellent internal consistency. Worse overall KCCQ score, highest asset ownership, increasing alcoholic drink per sitting, NYHA class IV, decreased estimated glomerular filtration rate, BNP, and CKMB predicted all-cause mortality at 3 months. The KCCQ could be an additional low-cost tool to aid in the prognostication of acute heart failure patients.

Indexed as

Decision Support TechniquesQuality of LifeSurveys and QuestionnairesAdultAgedFemaleHeart FailureHospitalizationHumansLife StyleMaleMiddle AgedPredictive Value of TestsPrognosisRegistriesReproducibility of Results36-item short form health surveyAcute heart failureAll-cause mortalityKansas City cardiomyopathy questionnaireSub-Saharan Africa

Identifiers

PMID30541443
PMCPMC6291962
OpenAlexW2905005271

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.