Evidence map›Paper›PMID 36769880›Full record

ArticleJournal of clinical medicine2023

Short-Term Outcomes of Surgery and Rehabilitation on Activities of Daily Living after Displaced Femoral Neck Fractures: Structural Equation Modeling.

Kazutaka Yokoyama, Hiroyuki Katoh, Seiji Bito, Yoshinari Fujita, Keita Yamauchi

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2023. 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
  2. Article
  3. 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

5 authors.

Kazutaka YokoyamaGraduate School of Health Management, Keio University, Fujisawa 252-0883, Japan.
Hiroyuki KatohDepartment of Orthopedic Surgery, Tokai University School of Medicine, Isehara 259-1193, Japan.ORCID 0000-0003-0046-3008
Seiji BitoDepartment of Clinical Epidemiology, National Hospital Organization Tokyo Medical Center, Meguro 152-8902, Japan.
Yoshinari FujitaDepartment of Orthopedic Surgery, National Hospital Organization Tokyo Medical Center, Meguro 152-8902, Japan.
Keita YamauchiGraduate School of Health Management, Keio University, Fujisawa 252-0883, Japan.

Funding

JST SPRING JPMJSP2123
6 · The paper itself

Abstract

In order to explore the factors affecting patients' level of activities of daily living (ADL) on discharge after undergoing bipolar hemiarthroplasty or total hip arthroplasty for displaced femoral neck fractures at an acute care hospital, patient data were analyzed with the following statistical tools: multiple regression analysis (MRA), structural equation modeling (SEM), and simultaneous analysis of several groups (SASG). The Barthel Index (BI) on discharge was set as the objective variable, while age, sex, degree of dementia, BI on admission, number of days from admission to surgery, surgical option, and number of rehabilitation units per day were set as explanatory variables. Factors such as age, sex, degree of dementia, BI on admission, and number of rehabilitation units per day were significant in MRA. While not significant in MRA, the number of days from admission to surgery was significant in SEM. According to the SASG, the number of rehabilitation units per day was significant for patients without dementia but not for patients with dementia. Analysis of real-world data suggests that early surgery and rehabilitation affect ADL on discharge to a greater degree than the surgical method. For patients without dementia, longer daily rehabilitation was significantly associated with better ADL on discharge.

Indexed as

bipolar hemiarthroplastyhip fracturesmultiple factorsmultiple regression analysistotal hip arthroplasty

Identifiers

PMID36769880
PMCPMC9918179

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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.