Evidence map›Paper›PMID 28451453›Full record

ArticleESC heart failure2017

On admission serum sodium and uric acid levels predict 30 day rehospitalization or death in patients with acute decompensated heart failure.

Ahmad Amin, Mitra Chitsazan, Fatemeh Shiukhi Ahmad Abad, Sepideh Taghavi, Nasim Naderi

Open access · goldAbstract read
In one paragraph

Article in ESC heart failure, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Ahmad AminRajaie Cardiovascular, Medical and Research CenterIran University of Medical SciencesTehranIran.
Mitra ChitsazanRajaie Cardiovascular, Medical and Research CenterIran University of Medical SciencesTehranIran.ORCID 0000-0002-3755-8644
Fatemeh Shiukhi Ahmad AbadRajaie Cardiovascular, Medical and Research CenterIran University of Medical SciencesTehranIran.
Sepideh TaghaviRajaie Cardiovascular, Medical and Research CenterIran University of Medical SciencesTehranIran.
Nasim NaderiRajaie Cardiovascular, Medical and Research CenterIran University of Medical SciencesTehranIran.
Iran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsA considerable proportion of hospitalized patients for acute decompensated heart failure will be readmitted or die in short-term follow-up. In the present study, we aimed to assess the role of admission sodium (Na) and uric acid (UA) levels in the prediction of 30 day post-discharge heart failure readmission or all-cause mortality in advanced heart failure patients admitted with acute decompensation. METHODS AND

resultsOne hundred and forty consecutive advanced heart failure patients who were admitted for a recent cardiac decompensation were enrolled in this prospective study. Serum Na and UA levels remained statistically unchanged during index admission (

conclusionsGiven the predictive role of baseline Na and UA for early post-discharge outcome and the absence of significant changes in their levels during initial hospitalization, admission Na and UA can be considered as prognosticators of acute decompensated heart failure, which their prognostic significance cannot be affected by routine acute heart failure therapy.

Indexed as

Acute heart failureOutcomesSodiumUric acid

Identifiers

PMID28451453
PMCPMC5396033
OpenAlexW2588441326

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.