Evidence map›Paper›PMID 23392898›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2013

Improving thrombolysis for acute ischemic stroke in Lombardia stroke centers.

A Cavallini, E Tartara, S Marcheselli, E Agostoni, S Quaglini, G Micieli

Abstract readMulticenter Study
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In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

A CavalliniDipartimento di Neurologia d'Urgenza e Pronto Soccorso, IRCCS Fondazione Istituto Neurologico Nazionale C. Mondino, Pavia, Italy, anna.cavallini@mondino.it
E Tartara
S Marcheselli
E Agostoni
S Quaglini
G Micieli

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study is to identify which factors are able to limit or hamper the access to systemic thrombolysis (evTPA) in Lombardia to define corrective interventions. We analyzed 1,015 patients with ischemic stroke admitted to emergency departments (ED) participating to the Lombardia Stroke Unit Registry and eligible for evTPA; 303 (29.9%) patients were treated with evTPA (evTPA+ group) and 712 (70.1%) were not (evTPA- group). We collected case-mix and stroke care process variables.The evTPA+ group was characterized by a shorter ED arrival time, a greater neurological impairment, a more chance to be admitted to ED linked to comprehensive stroke center (CSC) and a shorter waiting time to access to diagnostic procedures. The chance to be treated with evTPA was greater if neurological evaluation anticipated neuroimaging (p = 0.0003). The multivariate analysis confirmed that the admission to ED linked to CSC (OR: 2.50, 95% CI: 1.39-4.48, p < 0.0001) and neurological evaluation performed before neuroimaging (OR: 2.34, 95% CI: 1.35-4.04, p = 0.002) increased the probability to receive rtPA. The evTPA treatment is strictly dependent on pre-hospital and ED care process phases and strongly influenced by the degree of stroke severity. Door-to-needle time is shorter in patients with a greater stroke severity and a shorter ED arrival time. A 24-h/week availability of the neurologist in ED can increase the percentage of thrombolysis optimizing the selection of patients and the timing of the diagnostic procedures.

Indexed as

AdultAgedAged, 80 and overBrain IschemiaDiagnosis-Related GroupsEmergency Service, HospitalFemaleFibrinolytic AgentsHumansItalyMaleMiddle AgedProspective StudiesRegistriesRisk AdjustmentStrokeFibrinolytic Agents

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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.