Evidence map›Paper›PMID 31433007›Full record

ArticleEinstein (Sao Paulo, Brazil)2019

Sarcopenia and sarcopenic obesity as prognostic predictors in hospitalized elderly patients with acute myocardial infarction.

Natália de Moraes Santana, Roberta Maria Lins Mendes, Nadja Fernandes da Silva, Cláudia Porto Sabino Pinho

Open access · diamondAbstract read
In one paragraph

Article in Einstein (Sao Paulo, Brazil), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 13% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 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

4 authors at 1 institution in 1 country.

Natália de Moraes SantanaUniversidade de Pernambuco, Recife, PE, Brazil.ORCID http://orcid.org/0000-0002-9574-2239
Roberta Maria Lins MendesUniversidade de Pernambuco, Recife, PE, Brazil.ORCID http://orcid.org/0000-0002-9750-2992
Nadja Fernandes da SilvaUniversidade de Pernambuco, Recife, PE, Brazil.ORCID http://orcid.org/0000-0002-3664-6132
Cláudia Porto Sabino PinhoUniversidade de Pernambuco, Recife, PE, Brazil.ORCID http://orcid.org/0000-0002-5689-5048
Universidade de Pernambuco · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the potential value of sarcopenia and sarcopenic obesity as prognostic predictors in hospitalized elderly patients with acute myocardial infarction.

methodsA cross-sectional study based on data collected from elderly patients with acute myocardial infarction, admitted to a public hospital located in the Northeastern region of Brazil, from April to July 2015. The diagnosis of sarcopenia was based on muscle mass, muscle strength and physical performance measurements. Cardiovascular risk and prognostic markers, such as troponin and creatine kynase MB isoenzyme values, acute myocardial infarction classification according to ST segment elevation, and thrombolysis in myocardial infarction score were used.

resultsThe sample comprised 99 patients with mean age of 71.6 (±7.4) years. Prevalence of sarcopenia and sarcopenic obesity was 64.6% and 35.4%, respectively. Sarcopenia was more prevalent among males (p=0.017) aged >80 years (p=0.008). Thrombolysis in myocardial infarction was the only marker of cardiovascular risk significantly associated with sarcopenia (p=0.002).

conclusionPrevalence of sarcopenia was high and associated with thrombolysis in myocardial infarction risk score. Sarcopenic obesity affected approximately one-third of patients and was not associated with any of the prognostic predictors.

Indexed as

AgedAged, 80 and overBiomarkersCross-Sectional StudiesFemaleGeriatric AssessmentHumansMaleMiddle AgedMotor ActivityMuscle StrengthMyocardial InfarctionObesityPredictive Value of TestsPrognosisRisk FactorsBiomarkers

Identifiers

PMID31433007
PMCPMC6706224
OpenAlexW2969783400

What OpenQuestion holds

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LicenceCC BY
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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.