Evidence map›Paper›PMID 35742088›Full record

ArticleHealthcare (Basel, Switzerland)2022

Indicators Predicting Inpatient Mortality in Post-Stroke Patients Admitted to a Chronic Care Hospital: A Retrospective Pilot Study.

Masatoshi Koumo, Akio Goda, Yoshinori Maki, Kouta Yokoyama, Tetsuya Yamamoto, Tsumugi Hosokawa, Junichi Katsura, Ken Yanagibashi

Abstract 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. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Masatoshi KoumoDepartment of Rehabilitation, Hikari Hospital, Shiga 520-0002, Japan.
Akio GodaDepartment of Physical Therapy, Faculty of Health Sciences, Kyoto Tachibana University, Kyoto 607-8175, Japan.ORCID 0000-0001-9730-0082
Yoshinori MakiDepartment of Rehabilitation, Hikari Hospital, Shiga 520-0002, Japan.
Kouta YokoyamaDepartment of Rehabilitation, Hikari Hospital, Shiga 520-0002, Japan.
Tetsuya YamamotoDepartment of Rehabilitation, Hikari Hospital, Shiga 520-0002, Japan.
Tsumugi HosokawaDepartment of Rehabilitation, Hikari Hospital, Shiga 520-0002, Japan.
Junichi KatsuraDepartment of Rehabilitation, Hikari Hospital, Shiga 520-0002, Japan.
Ken YanagibashiDepartment of Rehabilitation, Hikari Hospital, Shiga 520-0002, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidence concerning the mortality of post-stroke patients admitted to a chronic-phase hospital seems to be lacking. This pilot study aimed to identify mortality-related clinical variables in the admission of post-stroke patients from a retrospective perspective. A group of 38 non-survival stroke patients and another group of 46 survival stroke patients in a chronic-phase ward of the single center were recruited. Clinical variables including age, sex, stroke type, and Barthel index (BI) score were collected. The difference in the age and BI scores on admission were statistically significant between the two groups (p < 0.01). Polytomous logistic regression analysis revealed that age (odds ratio = 1.09, p = 0.03, and 95% confidence interval: 1.01−1.07), male sex (odds ratio = 5.04, p = 0.01, and 95% confidence interval: 1.39−18.27), and BI scores on admission (odds ratio = 0.90, p = 0.01, and 95% confidence interval: 0.83−0.97) could be prognostic variables. The percentage of correct classification was 83.3%. Age, male sex, and BI scores on admission may be prognostic indicators. The result of this study could lay the groundwork for palliative care for such a clinical population.

Indexed as

Barthel indexchronic phasemale humanmortalityolder adultpost-stroke

Identifiers

PMID35742088
PMCPMC9222313

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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.