Evidence map›Paper›PMID 35455782›Full record

ArticleHealthcare (Basel, Switzerland)2022

Behavioral and Disease-Related Characteristics of Patients with Acute Stroke during the Coronavirus Disease Pandemic.

Dougho Park, Eunhwan Jeong, Su Yun Lee, Mansu Kim, Dae Young Hong, Heum Dai Kwon, Mun-Chul Kim

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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.

Dougho ParkDepartment of Rehabilitation Medicine, Pohang Stroke and Spine Hospital, Pohang 37659, Korea.ORCID 0000-0002-1288-470X
Eunhwan JeongDepartment of Neurology, Pohang Stroke and Spine Hospital, Pohang 37659, Korea.
Su Yun LeeDepartment of Neurology, Pohang Stroke and Spine Hospital, Pohang 37659, Korea.
Mansu KimDepartment of Neurosurgery, Pohang Stroke and Spine Hospital, Pohang 37659, Korea.
Dae Young HongDepartment of Neurosurgery, Pohang Stroke and Spine Hospital, Pohang 37659, Korea.
Heum Dai KwonDepartment of Neurosurgery, Pohang Stroke and Spine Hospital, Pohang 37659, Korea.
Mun-Chul KimDepartment of Neurosurgery, Pohang Stroke and Spine Hospital, Pohang 37659, Korea.ORCID 0000-0002-2232-065X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to evaluate the behavioral and disease-related characteristics of patients with acute stroke during the Coronavirus disease (COVID-19) pandemic. This retrospective study was conducted using the Korean Stroke Registry database from a single cerebrovascular specialty hospital. We categorized the COVID-19 pandemic (February 2020 to June 2021) into three waves according to the number of COVID-19 cases recorded and the subjective fear index of the general population and matched them with the corresponding pre-COVID-19 (January 2019 to January 2020) periods. The total number of acute stroke hospitalizations during the pre-COVID-19 and COVID-19 periods was 402 and 379, respectively. The number of acute stroke hospitalizations recorded during the regional outbreak of COVID-19 was higher than that recorded during the corresponding pre-COVID-19 period (97 vs. 80). Length of hospital stay was significantly longer during the COVID-19 pandemic than during the pre-COVID-19 period (11.1 and 8.5 days, respectively;

Indexed as

COVID-19healthcare surveysKorean Stroke Registrypandemicstroke

Identifiers

PMID35455782
PMCPMC9026943
OpenAlexW4224324310

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.