Evidence map›Paper›PMID 32912515›Full record

Observational studyJournal of stroke and cerebrovascular diseases : the official journal of National Stroke Association2020

Weekend Effect on in-Hospital Mortality for Ischemic and Hemorrhagic Stroke in US Rural and Urban Hospitals.

Birook Mekonnen, Guijing Wang, Janani Rajbhandari-Thapa, Lu Shi, Kiran Thapa, Zheng Zhang, Donglan Zhang

Abstract readComparative StudyObservational Study
In one paragraph

Observational study in Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Racial and ethnic disparities in the usage and outcomes of ischemic stroke treatment in the United States.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2023
    Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

7 authors.

Birook MekonnenDepartment of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, GA, United States. Electronic address: birookm@uga.edu.
Guijing WangDivision for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, GA 30341, United States. Electronic address: Gbw9@cdc.gov.
Janani Rajbhandari-ThapaDepartment of Health Policy and Management, College of Public Health, University of Georgia, 100 Foster Road, 205D Wright Hall, Athens, GA 30602, United States. Electronic address: jrthapa@uga.edu.
Lu ShiDepartment of Public Health Sciences, Clemson University, Clemson, SC, United States. Electronic address: lus@clemson.edu.
Kiran ThapaDepartment of Health Policy and Management, College of Public Health, University of Georgia, 100 Foster Road, 205D Wright Hall, Athens, GA 30602, United States. Electronic address: Kthapa@uga.edu.
Zheng ZhangDepartment of Neurology, Wenzhou Medical University, Zhejiang, China. Electronic address: zhang@wmu.edu.
Donglan ZhangDepartment of Health Policy and Management, College of Public Health, University of Georgia, 100 Foster Road, 205D Wright Hall, Athens, GA 30602, United States. Electronic address: dzhang@uga.edu.

Funding

Using machine learning and causal inference approaches to investigate disparities in Alzheimer’s disease and related dementias outcomesR01MD013886 · NIMHD · UNIVERSITY OF GEORGIA · PI ZHANG, DONGLAN · 2019 to 2022
$2.4M
NIMHD NIH HHS R01 MD013886
6 · The paper itself

Abstract

introductionPrevious studies have reported a "weekend effect" on stroke mortality, whereby stroke patients admitted during weekends have a higher risk of in-hospital death than those admitted during weekdays.

aimsWe aimed to investigate whether patients with different types of stroke admitted during weekends have a higher risk of in-hospital mortality in rural and urban hospitals in the US.

methodsWe used data from the 2016 National Inpatient Sample and used logistic regression to assess in-hospital mortality for weekday and weekend admissions among stroke patients aged 18 and older by stroke type (ischemic or hemorrhagic) and rural or urban status.

resultsCrude stroke mortality was higher in weekend admissions (p <0.001). After adjusting for confounding variables, in-hospital mortality among hemorrhagic stroke patients was significantly greater (22.0%) for weekend admissions compared to weekday admissions (20.2%, p = 0.009). Among rural hospitals, the in-hospital mortality among hemorrhagic stroke patients was also greater among weekend admissions (36.9%) compared to weekday admissions (25.7%, p = 0.040). Among urban hospitals, the mortality of hemorrhagic stroke patients was 21.1% for weekend and 19.6% for weekday admissions (p = 0.026). No weekend effect was found among ischemic stroke patients admitted to rural or urban hospitals.

conclusionsOur results help to understand mortality differences in hemorrhagic stroke for weekend vs. weekday admissions in urban and rural hospitals. Factors such as density of care providers, stroke centers, and patient level risky behaviors associated with the weekend effect on hemorrhagic stroke mortality need further investigation to improve stroke care services and reduce weekend effect on hemorrhagic stroke mortality.

Indexed as

After-Hours CareHospital MortalityHospitals, RuralHospitals, UrbanAdolescentAdultAgedBrain IschemiaCross-Sectional StudiesDatabases, FactualFemaleHumansInpatientsIntracranial HemorrhagesMaleMiddle AgedHemorrhagic strokeIn-hospital mortalityIschemic strokeWeekend admission

Identifiers

PMID32912515
PMCPMC7487070

What OpenQuestion holds

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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.