Evidence map›Paper›PMID 35386147›Full record

ArticleCureus2022

The Effects of Body Mass Index on In-Hospital Mortality and Outcomes in Patients With Heart Failure: A Nationwide Analysis.

Ahmed Brgdar, John Gharbin, Ayman Elawad, Sabah Khalafalla, Adey Bishaw, Abimbola F Balogun, Mohamed E Taha

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 country.

Ahmed BrgdarInternal Medicine, Howard University Hospital, Washington, DC, USA.
John GharbinInternal Medicine, Howard University Hospital, Washington, DC, USA.
Ayman ElawadInternal Medicine, Howard University Hospital, Washington, DC, USA.
Sabah KhalafallaInternal Medicine, Howard University Hospital, Washington, DC, USA.
Adey BishawInternal Medicine, Howard University Hospital, Washington, DC, USA.
Abimbola F BalogunInternal Medicine, Howard University Hospital, Washington, DC, USA.
Mohamed E TahaCardiovascular Medicine, Howard University, Washington, DC, USA.
Howard University Hospital · USHoward University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background​​​​​​Heart failure (HF) remains one of the leading causes of death in the United States. While many large-scale studies show a positive relationship between cardiovascular mortality and body mass index (BMI), several studies have also observed lower mortality rates among obese HF patients. Therefore, we sought to assess the impact of BMI on in-hospital outcomes in patients admitted with HF.

methodsPatients hospitalized with congestive heart failure (CHF) diagnosis between 2005 and 2014 were identified from the US National Inpatient Sample database using the International Classification of Diseases, Ninth Revision, Clinical Modification diagnostic and procedural codes. The sample was divided into three groups based on their BMI. In-hospital outcomes were assessed in different groups and sub-groups.

resultsWe identified 8,674,190 patients admitted with a primary diagnosis of HF, out of which 1.8% had BMI between 30 and 39.9 kg/m

conclusionEven though this study supports the findings of previous smaller studies illustrating the existence of the "obesity paradox" in HF hospitalizations, the pathogenesis behind this paradoxical effect is still unclear.

Indexed as

cardiovascularheart failurein-hospitalmortalitys: obesity paradox

Identifiers

PMID35386147
PMCPMC8967113
OpenAlexW4214755063

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.