Evidence map›Paper›PMID 36507077›Full record

ArticleJournal of physical therapy science2022

Influence of patients' walking ability at one-week post-proximal femur fracture surgery on the choice of discharge destination in Japan.

Kyosuke Fukuda, Takashi Amari, Kohei Yoshino, Hikaru Izumiya, Kenichiro Yamaguchi

Abstract read
In one paragraph

Article in Journal of physical therapy science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. 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

5 authors.

Kyosuke FukudaDepartment of Rehabilitation, Ageo Central General Hospital: 1-10-10 Kashiwaza, Ageo, Saitama 362-8588, Japan.
Takashi AmariDepartment of Physical Therapy, Health Science University, Japan.
Kohei YoshinoDepartment of Rehabilitation, Ageo Central General Hospital: 1-10-10 Kashiwaza, Ageo, Saitama 362-8588, Japan.
Hikaru IzumiyaDepartment of Rehabilitation, Ageo Central General Hospital: 1-10-10 Kashiwaza, Ageo, Saitama 362-8588, Japan.
Kenichiro YamaguchiDepartment of Rehabilitation, Sainokuni Higashiomiya Medical Center, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[Purpose] With the innovation of healthcare delivery systems, a need for early determination of patients' discharge outcomes arises after proximal femur fracture surgery, to reduce the burden on healthcare infrastructure. Several studies have examined the extent of walking ability early in the postoperative period to predict the outcome destination. In this study, as an additional validation of these studies, we examined the effect of walking ability on the hospital discharge prognosis of patients in the first week after proximal femur fracture surgery in Japan. [Participants and Methods] Medical records of 228 patients with proximal femur fractures, aged ≥75 years old, admitted between April 2015 and March 2019, were retrospectively analyzed. The objective variable was discharge destination. The main evaluation factor was walking ability one-week post-surgery. [Results] Good walking ability and the company of a relative living together one week post-surgery were significant determining factors of discharge destination. [Conclusion] The ability to walk and the presence of a co-resident one week after surgery increased the likelihood of proximal femur fracture patients to be discharged directly to home. Our findings may help rehabilitation professionals make better decisions regarding discharge destination.

Indexed as

Discharge destinationProximal femur fractureWalking ability

Identifiers

PMID36507077
PMCPMC9711972

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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.