Evidence map›Paper›PMID 35655457›Full record

ArticleFrontiers in public health2022

Accuracy of Tools to Differentiate Single From Recurrent Fallers Pre-Frail Older Women.

Tamires Terezinha Gallo da Silva, Jarbas Melo Filho, Simone Biesek, Audrin Said Vojciechowski, Victória Zeghbi Cochenski Borba, Anna Raquel Silveira Gomes

Abstract read
In one paragraph

Article in Frontiers in public health, 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

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

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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

Who cites it

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

6 authors.

Tamires Terezinha Gallo da SilvaPhD Program in Physical Education, Federal University of Paraná, Curitiba, Brazil.
Jarbas Melo FilhoDepartament of Massage Under Graduation, Federal Institute of Paraná, Curitiba, Brazil.
Simone BiesekPhD Program in Physical Education, Federal University of Paraná, Curitiba, Brazil.
Audrin Said VojciechowskiPhD Program in Physical Education, Federal University of Paraná, Curitiba, Brazil.
Victória Zeghbi Cochenski BorbaInternal Medicine Department and Masters and PhD Programs, Endocrinology Service, Hospital de Clínicas, Federal University of Paraná, Curitiba, Brazil.
Anna Raquel Silveira GomesMasters and PhD Programs in Physical Education, Prevention and Rehabilitation in Physiotherapy Department, Federal University of Paraná, Curitiba, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The objectives of this study were to analyze and compare musculoskeletal and functional performance and present cutoff points to differentiate pre-frail community-dwelling older women regarding their fall history: non fallers (0 falls), fallers (single fall), and recurrent fallers (≥2 falls). Method: This is a cross-sectional, retrospective study on 90 pre-frail community-dwelling older women (71.2 ± 4.49 years) according to Fried criteria. We assessed peak torque (PT) (isokinetic dynamometer), muscle architecture/mass (ultrasound/dual-energy X-ray absorptometry), and the following functional performance: usual gait speed (UGS), fast gait speed (FGS), walking speed reserve (WSR), cadence and step length, and timed up and go. Results: The recurrent fallers presented lower UGS (1.12 ± 0.18 vs. 1.29 ± 0.28 m/s; Conclusion: Recurrent fallers community-dwelling pre-frail older women presented a worse musculoskeletal and functional performance when compared to the non-fallers and fallers. Gait speed, step length, PT of both knee extension and flexion, and ankle dorsiflexion can be used to identify both single and recurrent fallers pre-frail older women, contributing to guide interventions and prevent falls and fractures.

Indexed as

Accidental FallsFrail ElderlyAgedCross-Sectional StudiesFemaleHumansIndependent LivingRetrospective Studiesaccidental falls (MeSH)frail elderly (MeSH)gait (MeSH)muscle strength (MeSH)musculoskeletal system (MeSH)sensitivity and specificity (MeSH)

Identifiers

PMID35655457
PMCPMC9152280

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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.