Evidence map›Paper›PMID 32104787›Full record

ArticleCardiovascular endocrinology & metabolism2020

Comparing inpatient costs of heart failure admissions for patients with reduced and preserved ejection fraction with or without type 2 diabetes.

Natalia Olchanski, Amanda R Vest, Joshua T Cohen, David DeNofrio

Abstract read
In one paragraph

Article in Cardiovascular endocrinology & metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  12. Lipotoxicity: a driver of heart failure with preserved ejection fraction?Clinical science (London, England : 1979) · 2021
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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

4 authors.

Natalia OlchanskiCenter for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies at Tufts Medical Center.
Amanda R VestDivision of Cardiology, Cardiovascular Center, Tufts Medical Center, Boston, Massachusetts, USA.
Joshua T CohenCenter for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies at Tufts Medical Center.
David DeNofrioDivision of Cardiology, Cardiovascular Center, Tufts Medical Center, Boston, Massachusetts, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Both heart failure (HF) and diabetes mellitus (DM) account for major healthcare expenditures. We evaluated inpatient expenditures and cost drivers in patients admitted with HF with and without DM.

methodsWe created a retrospective cohort of acutely decompensated HF patients, using linked data from cost accounting systems and electronic medical records. We stratified patients by LVEF into reduced ejection fraction (HFrEF, LVEF ≤40%) and preserved ejection fraction (HFpEF, LVEF >40%) groups and by DM status at admission.

resultsOur population had 544 people: 285 HFrEF patients (43.5% with DM) and 259 HFpEF patients (43.6% with DM). Patients with HFrEF and DM had the longest hospital stay (5.10 ± 5.21 days). Patients with HFrEF and DM had the highest hospitalization cost ($11 576 ± 15 818). HFrEF and HFpEF patients with DM had the highest cost, and cost per day alive was highest for HFpEF patients with DM [$3153 (95% CI 2332, 4262)].

conclusionOverall cost was higher for patients with DM, whether or not they were admitted with acute HF due to HFrEF or HFpEF. Cost per day alive for patients with DM continued to exceed corresponding costs for patients without DM, with HFpEF patients with DM having the highest cost.

Indexed as

diabeteshealthcare costshealth economicsheart failurehospitalizationstype 2 diabetes

Identifiers

PMID32104787
PMCPMC7041871

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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.