Evidence map›Paper›PMID 22553938›Full record

ArticleCardiovascular diabetology2012

In-hospital death in acute coronary syndrome was related to admission glucose in men but not in women.

Julio Yoshio Takada, Rogério Bicudo Ramos, Larissa Cardoso Roza, Solange Desiree Avakian, José Antonio Franchini Ramires, Antonio de Pádua Mansur

Abstract readComparative Study
In one paragraph

Article in Cardiovascular diabetology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Julio Yoshio TakadaHeart Institute-InCor, University of São Paulo Medical School, Avenue Enéas de Carvalho de Aguiar 44, 05403-000 São Paulo, Brazil. julio.takada@incor.usp.br
Rogério Bicudo Ramos
Larissa Cardoso Roza
Solange Desiree Avakian
José Antonio Franchini Ramires
Antonio de Pádua Mansur

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdmission hyperglycaemia is associated with mortality in patients with acute coronary syndrome (ACS), but controversy exists whether hyperglycaemia uniformly affects both genders. We evaluated coronary risk factors, gender, hyperglycaemia and their effect on hospital mortality.

methods959 ACS patients (363 women and 596 men) were grouped based on glycaemia ≥ or < 200 mg/dL and gender: men with glucose < 200 mg/dL (menG-); women with glucose < 200 mg/dL (womenG-); men with glucose ≥ 200 mg/dL (menG+); and women with glucose ≥ 200 mg/dL (womenG+). A logistic regression analysis compared the relation between gender and glycaemia groups and death, adjusted for coronary risk factors and laboratory data. RESULTS GROUP: menG- had lower mortality than menG + (OR = 0.172, IC95% 0.062-0.478), and womenG + (OR = 0.275, IC95% 0.090-0.841); womenG- mortality was lower than menG + (OR = 0.230, IC95% 0.074-0.717). No difference was found between menG + vs womenG + (p = 0.461), or womenG- vs womenG + (p = 0.110). Age (OR = 1.067, IC95% 1.031-1.104), EF (OR = 0.942, IC95% 0.915-0.968), and serum creatinine (OR = 1.329, IC95% 1.128-1.566) were other independent factors related to in-hospital death.

conclusionsDeath was greater in hyperglycemic men compared to lower blood glucose men and women groups, but there was no differences between women groups in respect to glycaemia after adjustment for coronary risk factors.

Indexed as

Diagnostic Tests, RoutineHospital MortalitySex CharacteristicsAcute Coronary SyndromeAgedAge FactorsBlood GlucoseBrazilFemaleHumansHyperglycemiaMaleMiddle AgedMultivariate AnalysisRetrospective StudiesRisk FactorsBlood Glucose

Identifiers

PMID22553938
PMCPMC3355051

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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.