Evidence map›Paper›PMID 28688749›Full record

ArticleJournal of epidemiology2017

Cross-level interaction between individual socioeconomic status and regional deprivation on overall survival after onset of ischemic stroke: National health insurance cohort sample data from 2002 to 2013.

Jaeyong Shin, Young Choi, Seung Woo Kim, Sang Gyu Lee, Eun-Cheol Park

Abstract read
In one paragraph

Article in Journal of epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Pooled it
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  7. Does the place of residence influence your risk of being hypertensive? A study-based on Nepal Demographic and Health Survey.Hypertension research : official journal of the Japanese Society of Hypertension · 2023
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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

5 authors.

Jaeyong ShinDepartment of Preventive Medicine, Yonsei University, College of Medicine, Seoul, South Korea; Institute of Health Services Research, Yonsei University, College of Medicine, Seoul, South Korea; Department of Public Health, Yonsei University Graduate School, Seoul, South Korea.
Young ChoiInstitute of Health Services Research, Yonsei University, College of Medicine, Seoul, South Korea; Department of Public Health, Yonsei University Graduate School, Seoul, South Korea.
Seung Woo KimDepartment of Neurology, Yonsei University, College of Medicine, Seoul, South Korea.
Sang Gyu LeeDepartment of Hospital Management, Yonsei University Graduate School of Public Health, Seoul, South Korea.
Eun-Cheol ParkDepartment of Preventive Medicine, Yonsei University, College of Medicine, Seoul, South Korea; Institute of Health Services Research, Yonsei University, College of Medicine, Seoul, South Korea. Electronic address: ecpark@yuhs.ac.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe literature on stroke mortality and neighborhood effect is characterized by studies that are often Western society-oriented, with a lack of racial and cultural diversity. We estimated the effect of cross-level interaction between individual and regional socioeconomic status on the survival after onset of ischemic stroke.

methodsWe selected newly diagnosed ischemic stroke patients from 2002 to 2013 using stratified representative sampling data of 1,025,340 subjects. A total of 37,044 patients over the 10 years from 2004 to 2013 had newly diagnosed stroke. We calculated hazard ratios (HR) of 12- and 36-month mortality using the Cox proportional hazard model, with the reference group as stroke patients with high income in advantaged regions.

resultsFor the middle income level, the patients in advantaged regions showed low HRs for overall mortality (12-month HR 1.27; 95% confidence interval [CI], 1.13-1.44; 36-month HR 1.25; 95% CI, 1.14-1.37) compared to the others in disadvantaged regions (12-month HR 1.36; 95% CI, 1.19-1.56; 36-month HR 1.30; 95% CI, 1.17-1.44). Interestingly, for the low income level, the patients in advantaged regions showed high HRs for overall mortality (12-month HR 1.27; 95% CI, 1.13-1.44; 36-month HR 1.33; 95% CI, 1.22-1.46) compared to the others in disadvantaged regions (12-month HR 1.25; 95% CI, 1.09-1.43; 36-month HR 1.30; 95% CI, 1.18-1.44).

conclusionAlthough we need to perform further investigations to determine the exact mechanisms, regional deprivation, as well as medical factors, might be associated with survival after onset of ischemic stroke in low-income patients.

Indexed as

Health Status DisparitiesPoverty AreasSocial ClassAdultAgedAged, 80 and overCohort StudiesFemaleHumansJapanMaleMiddle AgedNational Health ProgramsResidence CharacteristicsStrokeSurvival AnalysisMortalityRegional deprivationSocioeconomic statusStroke

Identifiers

PMID28688749
PMCPMC5549246

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Registered trials

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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.