Evidence map›Paper›PMID 32055720›Full record

ArticleeNeurologicalSci2020

Premorbid instrumental activities of daily living predicts discharge home following stroke.

Takeshi Satow, Taro Komuro, Masafumi Ogawa

Abstract read
In one paragraph

Article in eNeurologicalSci, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. A brief novel questionnaire to estimate premorbid functional state in acute stroke patients.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
  2. Article
  3. Article
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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

3 authors.

Takeshi SatowDepartment of Neurosurgery, Nagahama City Hospital, 313 Oinui-cho, Nagahama City, Shiga 526-8580, Japan.
Taro KomuroDepartment of Neurosurgery, Nagahama City Hospital, 313 Oinui-cho, Nagahama City, Shiga 526-8580, Japan.
Masafumi OgawaDepartment of Neurology, Nagahama City Hospital, 313 Oinui-cho, Nagahama City, Shiga 526-8580, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeStroke survivors who remain dependent require multiple healthcare resources, including rehabilitation and nursing care. The effect of premorbid instrumental ADL (IADL) on the discharge destination, which has not been studied previously in detail, is analyzed. MATERIALS AND

methodsBetween April and September 2015, 40 stroke patients admitted to hospital were enrolled prospectively in the present study. The ADL (Barthel index) and IADL (Frenchay activities index: FAI) scores in their premorbid status were recorded. Baseline demographic data, stroke severity (NIHSS) and type of stroke, and whether they lived with family were also recorded. Simple univariate regression was performed between the two discharge destination groups (Home or Not Home). Significant factors were then included in multivariate logistic regression in order to determine the adjusted odds ratio for the discharge destination. A

results25 patients (64.1%) returned home. According to univariate analysis, NIHSS on admission and premorbid FAI were significantly associated with the discharge destination. Multivariate analysis found that NIHSS (OR, 0.71; 95% CI0.56-0.92;

conclusionsSeverity of stroke upon admission and premorbid IADL are associated with discharge destination following stroke.

Indexed as

Acute strokeDischarge destinationFrenchay activities indexInstrumental activity of daily living

Identifiers

PMID32055720
PMCPMC7005419

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.