Evidence map›Paper›PMID 26056618›Full record

ArticlePeerJ2015

A four-year cardiovascular risk score for type 2 diabetic inpatients.

Dolores Ramírez-Prado, Antonio Palazón-Bru, David Manuel Folgado-de la Rosa, María Ángeles Carbonell-Torregrosa, Ana María Martínez-Díaz, Damian Robert James Martínez-St John, Vicente Francisco Gil-Guillén

Abstract read
In one paragraph

Article in PeerJ, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
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.

Dolores Ramírez-PradoResearch Unit, Elda Hospital , Elda, Alicante , Spain ; Department of Clinical Medicine, Miguel Hernández University , San Juan de Alicante, Alicante , Spain.
Antonio Palazón-BruResearch Unit, Elda Hospital , Elda, Alicante , Spain ; Department of Clinical Medicine, Miguel Hernández University , San Juan de Alicante, Alicante , Spain.
David Manuel Folgado-de la RosaDepartment of Clinical Medicine, Miguel Hernández University , San Juan de Alicante, Alicante , Spain.
María Ángeles Carbonell-TorregrosaEmergencies Unit, Elda Hospital , Elda, Alicante , Spain.
Ana María Martínez-DíazEmergencies Unit, Elda Hospital , Elda, Alicante , Spain.
Damian Robert James Martínez-St JohnDepartment of Clinical Medicine, Miguel Hernández University , San Juan de Alicante, Alicante , Spain.
Vicente Francisco Gil-GuillénResearch Unit, Elda Hospital , Elda, Alicante , Spain ; Department of Clinical Medicine, Miguel Hernández University , San Juan de Alicante, Alicante , Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As cardiovascular risk tables currently in use were constructed using data from the general population, the cardiovascular risk of patients admitted via the hospital emergency department may be underestimated. Accordingly, we constructed a predictive model for the appearance of cardiovascular diseases in patients with type 2 diabetes admitted via the emergency department. We undertook a four-year follow-up of a cohort of 112 adult patients with type 2 diabetes admitted via the emergency department for any cause except patients admitted with acute myocardial infarction, stroke, cancer, or a palliative status. The sample was selected randomly between 2010 and 2012. The primary outcome was time to cardiovascular disease. Other variables (at baseline) were gender, age, heart failure, renal failure, depression, asthma/chronic obstructive pulmonary disease, hypertension, dyslipidaemia, insulin, smoking, admission for cardiovascular causes, pills per day, walking habit, fasting blood glucose and creatinine. A cardiovascular risk table was constructed based on the score to estimate the likelihood of cardiovascular disease. Risk groups were established and the c-statistic was calculated. Over a mean follow-up of 2.31 years, 39 patients had cardiovascular disease (34.8%, 95% CI [26.0-43.6%]). Predictive factors were gender, age, hypertension, renal failure, insulin, admission due to cardiovascular reasons and walking habit. The c-statistic was 0.734 (standard error: 0.049). After validation, this study will provide a tool for the primary health care services to enable the short-term prediction of cardiovascular disease after hospital discharge in patients with type 2 diabetes admitted via the emergency department.

Indexed as

Cardiovascular diseasesDiabetes mellitusEmergenciesPredictive modelsPrimary Health Care

Identifiers

PMID26056618
PMCPMC4458124

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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.