Evidence map›Paper›PMID 34412612›Full record

Observational studyBMC public health2021

Occupational class differences in outcomes after ischemic stroke: a prospective observational study.

Yinwei Zhu, Yaling Lu, Mo Zhou, Ping Huang, Peipei Zhang, Yumei Guo, Liying Lv, Yonghong Zhang, Chongke Zhong, Tan Xu

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. 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

10 authors at 5 institutions in 1 country.

Yinwei Zhu *Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, 199 Renai Road, Industrial Park District, Suzhou, Jiangsu Province, 215123, People's Republic of China.
Yaling Lu *Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, 199 Renai Road, Industrial Park District, Suzhou, Jiangsu Province, 215123, People's Republic of China.
Mo ZhouDepartment of Science and Research, The Affiliated Suzhou hospital of Nanjing Medical University, Suzhou, Jiangsu, People's Republic of China.
Ping HuangMedical Records Room, Changzhou Traditional Chinese Medicine Hospital, Changzhou, Jiangsu, People's Republic of China.
Peipei ZhangDepartment of Acute Infectious Disease Control and Prevention, Changzhou Center for Disease Control and Prevention, Changzhou, Jiangsu, People's Republic of China.
Yumei GuoClinical Laboratory, Inner Mongolia Xingan League People's Hospital, Xingan League, Inner Mongolia, People's Republic of China.
Liying LvClinical Laboratory, Inner Mongolia Xingan League People's Hospital, Xingan League, Inner Mongolia, People's Republic of China.
Yonghong ZhangDepartment of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, 199 Renai Road, Industrial Park District, Suzhou, Jiangsu Province, 215123, People's Republic of China.
Chongke ZhongDepartment of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, 199 Renai Road, Industrial Park District, Suzhou, Jiangsu Province, 215123, People's Republic of China. ckzhong@suda.edu.cn.
Tan XuDepartment of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, 199 Renai Road, Industrial Park District, Suzhou, Jiangsu Province, 215123, People's Republic of China. xutan@suda.edu.cn.
Soochow University · CNInner Mongolia People's Hospital · CNHangzhou Hospital of Traditional Chinese Medicine · CNNanjing Medical University · CNNanjing Municipal Center for Disease Control And Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOccupational class is an integral part of socioeconomic status. The studies focused on the occupational difference in ischemic stroke outcome in a Chinese population are limited. We aimed to investigate the associations between occupational class and the prognosis of patients with ischemic stroke in China.

methodsWe included 1484 ischemic stroke participants (mean age: 63.42 ± 11.26 years) from the prospective cohort study: Infectious Factors, Inflammatory Markers and Prognosis of Acute Ischemic Stroke (IIPAIS). Occupational class was categorized into white-collar workers, blue-collar workers and farmers in our study. Study outcomes were cardiovascular events and all-cause mortality within 12 months after ischemic stroke onset. We applied Cox proportional hazard model to evaluate the associations between the occupational class and study outcomes after ischemic stroke.

resultsWithin 12 months after ischemic stroke, there were 106 (7.5%) cardiovascular events and 69 (4.9%) all-cause deaths. The Kaplan-Meier plots showed that white-collar workers had highest risk of cardiovascular events after 12-month follow-up (Log-rank P = 0.02). Multivariate adjusted hazard ratio and 95% confidence intervals (CIs) of farmers versus white-collar workers was 0.43(0.20-0.91) for cardiovascular events. No significant difference showed in blue-collar workers versus white-collar workers, with fully adjusted hazard ratio 0.62(95% CIs, 0.23-1.67).

conclusionsCompared with white-collar workers, farmers are associated with less risk of cardiovascular events at 12 months after ischemic stroke, while there are no significant differences in blue-collar workers.

Indexed as

Brain IschemiaIschemic StrokeStrokeAgedHumansMiddle AgedProspective StudiesRisk FactorsSocial ClassCardiovascular eventsFarmerIschemic strokeOccupationPrognosisWhite-collar worker

Identifiers

PMID34412612
PMCPMC8377846
OpenAlexW3167264239

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.