Evidence map›Paper›PMID 36695856›Full record

ArticleHeart and vessels2023

Risk of recurrent stroke and mortality after cryptogenic stroke in diabetic patients.

Alberto Vera, Alberto Cecconi, Álvaro Ximénez-Carrillo, Carmen Ramos, Pablo Martínez-Vives, Beatriz Lopez-Melgar, Ancor Sanz-García, Guillermo Ortega, Clara Aguirre, Álvaro Montes and 4 more

Abstract read
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In one paragraph

Article in Heart and vessels, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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, 0 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

14 authors at 2 institutions in 1 country.

Alberto Vera *Cardiology Department, Hospital Universitario de La Princesa, IIS-IP, CIBER-CV, Universidad Autónoma de Madrid, c/Diego de León 62, 28006, Madrid, Spain.
Alberto Cecconi *Cardiology Department, Hospital Universitario de La Princesa, IIS-IP, CIBER-CV, Universidad Autónoma de Madrid, c/Diego de León 62, 28006, Madrid, Spain. albertocecconi@hotmail.com.
Álvaro Ximénez-CarrilloStroke Center, Neurology Department, Hospital Universitario de La Princesa, IIS-IP, Universidad Autónoma de Madrid, Madrid, Spain.
Carmen RamosStroke Center, Neurology Department, Hospital Universitario de La Princesa, IIS-IP, Universidad Autónoma de Madrid, Madrid, Spain.
Pablo Martínez-VivesCardiology Department, Hospital Universitario de La Princesa, IIS-IP, CIBER-CV, Universidad Autónoma de Madrid, c/Diego de León 62, 28006, Madrid, Spain.
Beatriz Lopez-MelgarCardiology Department, Hospital Universitario de La Princesa, IIS-IP, CIBER-CV, Universidad Autónoma de Madrid, c/Diego de León 62, 28006, Madrid, Spain.
Ancor Sanz-GarcíaData Analysis Unit, Instituto de Investigación Sanitaria, Hospital Universitario de La Princesa, Madrid, Spain.
Guillermo OrtegaData Analysis Unit, Instituto de Investigación Sanitaria, Hospital Universitario de La Princesa, Madrid, Spain.
Clara AguirreStroke Center, Neurology Department, Hospital Universitario de La Princesa, IIS-IP, Universidad Autónoma de Madrid, Madrid, Spain.
Álvaro MontesCardiology Department, Hospital Universitario de La Princesa, IIS-IP, CIBER-CV, Universidad Autónoma de Madrid, c/Diego de León 62, 28006, Madrid, Spain.
José VivancosStroke Center, Neurology Department, Hospital Universitario de La Princesa, IIS-IP, Universidad Autónoma de Madrid, Madrid, Spain.
Luis Jesús Jiménez-BorregueroCardiology Department, Hospital Universitario de La Princesa, IIS-IP, CIBER-CV, Universidad Autónoma de Madrid, c/Diego de León 62, 28006, Madrid, Spain. ljborreguero@gmail.com.
Fernando AlfonsoCardiology Department, Hospital Universitario de La Princesa, IIS-IP, CIBER-CV, Universidad Autónoma de Madrid, c/Diego de León 62, 28006, Madrid, Spain.
DECRYPTORING study investigators
Centro de Investigación en Red en Enfermedades Cardiovasculares · ESHospital Universitario de La Princesa · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes mellitus is a highly prevalent and growing chronic disease that is associated with increased risk of recurrence among several stroke subtypes. However, evidence on the prognostic role of diabetes in the setting of cryptogenic stroke (CS) remains scarce.

methodsFrom April 2019 to November 2021, we recruited prospectively 78 consecutive patients with CS. Patients were classified according to the presence of diabetes. Main outcome was the composite of stroke recurrence and death. Secondary outcome was stroke recurrence.

resultsMean age of the cohort was 78 ± 7.7 years and 18 patients (23%) had diabetes. After a median clinical follow-up of 23 months the incidence of stroke recurrence and mortality [HR 5.8 (95% CI 1.9-19), p = 0.002] and the incidence of stroke recurrence [HR 16.6 (95% CI 1.8-149), p = 0.012], were higher in patients with diabetes. After adjusting for potential confounders diabetes was identified as an independent predictor of stroke recurrence and death in patients with CS [HR 33.8 (95% CI 2.1-551), p = 0.013]. Other independent predictors of stroke recurrence and mortality were hypertension [HR 31.4 (95% CI 1.8-550), p = 0.018], NTproBNP [HR 1.002 (95% CI 1.001-1.004), p = 0.013] and chronic kidney disease (CKD) [HR 27.4 (95% CI 1.4-549) p = 0.03]. Furthermore, diabetes was an independent predictor of stroke recurrence [HR 103 (95% CI 1.3-8261), p = 0.038].

conclusionDiabetic patients with CS are at higher risk of stroke recurrence and death. Hypertension CKD and NTproBNP are also independent predictors of stroke recurrence and death after CS.

Indexed as

Diabetes MellitusHypertensionIschemic StrokeRenal Insufficiency, ChronicStrokeAgedAged, 80 and overHumansRecurrenceRisk FactorsChronic kidney diseaseCryptogenic strokeDiabetesNTproBNPStroke recurrence

Identifiers

PMID36695856
OpenAlexW4318027371

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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.