Evidence map›Paper›PMID 27184959›Full record

ArticleBMC public health2016

Socioeconomic differences in one-year survival after ischemic stroke: the effect of acute and post-acute care-pathways in a cohort study.

Valeria Belleudi, Paolo Sciattella, Nera Agabiti, Mirko Di Martino, Riccardo Di Domenicantonio, Marina Davoli, Danilo Fusco

Abstract read
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

7 authors.

Valeria BelleudiDepartment of Epidemiology, Lazio Regional Health Service, Via Cristoforo Colombo, 112, 00147, Rome, Italy.
Paolo SciattellaDepartment of Epidemiology, Lazio Regional Health Service, Via Cristoforo Colombo, 112, 00147, Rome, Italy.
Nera AgabitiDepartment of Epidemiology, Lazio Regional Health Service, Via Cristoforo Colombo, 112, 00147, Rome, Italy. n.agabiti@deplazio.it.
Mirko Di MartinoDepartment of Epidemiology, Lazio Regional Health Service, Via Cristoforo Colombo, 112, 00147, Rome, Italy.
Riccardo Di DomenicantonioDepartment of Epidemiology, Lazio Regional Health Service, Via Cristoforo Colombo, 112, 00147, Rome, Italy.
Marina DavoliDepartment of Epidemiology, Lazio Regional Health Service, Via Cristoforo Colombo, 112, 00147, Rome, Italy.
Danilo FuscoDepartment of Epidemiology, Lazio Regional Health Service, Via Cristoforo Colombo, 112, 00147, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe reasons for socioeconomic inequity in stroke mortality are not well understood. The aim of this study was to explore the role of ischemic stroke care-pathways on the association between education level and one-year survival after hospital admission.

methodsHospitalizations for ischemic stroke during 2011/12 were selected from Lazio health data. Patients' clinical history was defined by retrieving previous hospitalizations and drugs prescriptions. The association between education level and mortality after stroke was studied for acute and post-acute phases using multilevel logistic models (Odds Ratio (OR)). Different scenarios of quality care-pathways were identified considering hospital performance, access to rehabilitation and drug treatment post-discharge. The probability to survive to acute and post-acute phases according to education level and care-pathway scenarios was estimated for a "mean-severity" patient. One-year survival probability was calculated as the product of two probabilities. For each scenario, the 1-year survival probability ratio, university versus elementary education, and its Bootstrap Confidence Intervals (95 % BCI) were calculated.

resultsWe identified 9,958 patients with ischemic stroke, 53.3 % with elementary education level and 3.2 % with university. The mortality was 14.9 % in acute phase and 14.3 % in post-acute phase among survived to the acute phase. The adjusted mortality in acute and post-acute phases decreased with an increase in educational level (OR = 0.90 p-trend < 0.001; OR = 0.85 p-trend < 0.001). For the best care-pathway, the one-year survival probability ratio was 1.06 (95 % BCI = 1.03-1.10), while it was 1.17 (95 % BCI = 1.09-1.25) for the worst.

conclusionsEducation level was inversely associated with mortality both in acute and post-acute phases. The care-pathway reduces but does not eliminate 1-year survival inequity.

Indexed as

Educational StatusAdultAgedAged, 80 and overCohort StudiesFemaleHealth Services AccessibilityHumansMaleMiddle AgedOdds RatioPatient DischargeQuality of Health CareSeverity of Illness IndexSocioeconomic FactorsStrokePathway-analysisSocioeconomic-positionStrokeSurvival

Identifiers

PMID27184959
PMCPMC4868039

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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.