Evidence map›Paper›PMID 42406293›Full record

ArticleClinical and experimental nephrology2026

A brief fall-risk screening tool to support early rehabilitation referral in hemodialysis patients: multicenter prospective cohort study.

Nobuyuki Shirai, Naoto Usui, Sho Kojima, Daisuke Okamura, Yoichi Sato, Kenta Mikami, Yu Shimano, Nobuhito Shinozaki, Syun Hirukawa, Toshimasa Kasai and 3 more

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Article in Clinical and experimental nephrology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

13 authors.

Nobuyuki ShiraiDepartment of Rehabilitation, Niigata Rinko Hospital, Niigata, 950-8725, Japan.
Naoto UsuiRenal Exercise and Physical Activity Network, Virtual Laboratory, Tokyo, Japan.
Sho KojimaRenal Exercise and Physical Activity Network, Virtual Laboratory, Tokyo, Japan.
Daisuke OkamuraRenal Exercise and Physical Activity Network, Virtual Laboratory, Tokyo, Japan.
Yoichi SatoRenal Exercise and Physical Activity Network, Virtual Laboratory, Tokyo, Japan.
Kenta MikamiRenal Exercise and Physical Activity Network, Virtual Laboratory, Tokyo, Japan.
Yu ShimanoRenal Exercise and Physical Activity Network, Virtual Laboratory, Tokyo, Japan.
Nobuhito ShinozakiRenal Exercise and Physical Activity Network, Virtual Laboratory, Tokyo, Japan.
Syun HirukawaRenal Exercise and Physical Activity Network, Virtual Laboratory, Tokyo, Japan.
Toshimasa KasaiRenal Exercise and Physical Activity Network, Virtual Laboratory, Tokyo, Japan.
Akihiro SakuyamaRenal Exercise and Physical Activity Network, Virtual Laboratory, Tokyo, Japan.
Yoji YamadaRenal Exercise and Physical Activity Network, Virtual Laboratory, Tokyo, Japan.
Masakazu SaitohRenal Exercise and Physical Activity Network, Virtual Laboratory, Tokyo, Japan. m.saito.tl@juntendo.ac.jp.ORCID http://orcid.org/0000-0001-8666-6353

Funding

JSPS KAKENHI 22K11346
6 · The paper itself

Abstract

purposeTo develop a brief screening tool to identify hemodialysis (HD) patients at risk of falls who may benefit from early rehabilitation and prevention strategies.

methodsA prospective cohort study was conducted across nine centers. Falls were recorded prospectively for 1 year following baseline assessment using the Kihon Checklist (KCL). Participants were categorized into development and validation cohorts. Logistic regression was used to identify KCL items associated with falls, and a short version was constructed by summing odds ratios (OR). Predictive accuracy was evaluated using the area under the receiver operating characteristic curve (AUC) and compared with the standard KCL. The cutoff value was determined using the Youden index.

resultsA total of 403 patients (median age 70.0 years, 42.1% female) were included, of whom 117 (29.0%) experienced a fall during 1 year. Five items were significantly associated with falls, including climbing stairs without a handrail (OR 2.3), history of falls (OR 3.1), fear of falling while walking (OR 2.3), inability to recognize dates (OR 2.1), and feelings of uselessness (OR 2.2). Based on these, a 0-12 point short version was developed. In the validation cohort (n = 100), the AUC was 0.75, comparable to the standard KCL (0.70, p = 0.39). A cutoff of 4.6 yielded a sensitivity of 77.8% and a specificity of 38.4%.

conclusionsThe short KCL showed similar predictive accuracy to the standard version with less burden. Despite modest specificity, it may be a practical tool to identify high-risk HD patients and support early intervention.

Indexed as

FallsFrailtyHemodialysisKihon checklistQuestionnaire

Identifiers

PMID42406293

What Socratic holds

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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 Socratic graph.