Evidence map›Paper›PMID 30898161›Full record

ArticleBMC geriatrics2019

Impaired chair-to-bed transfer ability leads to longer hospital stays among elderly patients.

Milene Silva Ferreira, Fabio Gazelato de Melo Franco, Patrícia Silveira Rodrigues, Vanessa Maria da Silva de Poli Correa, Sonia Teresa Gaidzakian Akopian, Gabriel Grizzo Cucato, Raphael Mendes Ritti Dias, Maysa Seabra Cendoroglo, Carolina Nunes França, José Antonio Maluf de Carvalho

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 32% of its field
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

5 citing papers in PubMed, 13 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Milene Silva FerreiraHospital Israelita Albert Einstein, Alameda dos Jurupis 777, apartment 242, Sao Paulo, CEP 04088001, Brazil. milenesilvaf@gmail.com.ORCID 0000-0003-4204-7328
Fabio Gazelato de Melo FrancoHospital Israelita Albert Einstein, Alameda dos Jurupis 777, apartment 242, Sao Paulo, CEP 04088001, Brazil.
Patrícia Silveira RodriguesHospital Israelita Albert Einstein, Alameda dos Jurupis 777, apartment 242, Sao Paulo, CEP 04088001, Brazil.
Vanessa Maria da Silva de Poli CorreaHospital Israelita Albert Einstein, Alameda dos Jurupis 777, apartment 242, Sao Paulo, CEP 04088001, Brazil.
Sonia Teresa Gaidzakian AkopianHospital Israelita Albert Einstein, Alameda dos Jurupis 777, apartment 242, Sao Paulo, CEP 04088001, Brazil.
Gabriel Grizzo CucatoHospital Israelita Albert Einstein, Alameda dos Jurupis 777, apartment 242, Sao Paulo, CEP 04088001, Brazil.
Raphael Mendes Ritti DiasHospital Israelita Albert Einstein, Alameda dos Jurupis 777, apartment 242, Sao Paulo, CEP 04088001, Brazil.
Maysa Seabra CendorogloUniversidade Federal de São Paulo, Sao Paulo, Brazil.
Carolina Nunes FrançaUniversidade Santo Amaro, Pós Graduação em Ciências da Saúde, Sao Paulo, Brazil.
José Antonio Maluf de CarvalhoHospital Israelita Albert Einstein, Alameda dos Jurupis 777, apartment 242, Sao Paulo, CEP 04088001, Brazil.
Hospital Israelita Albert Einstein · BRUniversidade de Santo Amaro · BRUniversidade Federal de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe study objectives were to identify the main predictive factors for long hospital stays and to propose new and improved methods of risk assessment.

methodsThis prospective cohort study was conducted in the clinics and surgical wards of a tertiary hospital and involved 523 elderly patients over 60 years of age. Demographic, clinical, functional, and cognitive characteristics assessed between 48 and 72 h after admission were analyzed to investigate correlations with lengths of stay greater than 10 days. Univariate and multivariate analyses were performed, and in the final model, long-term probability scores were estimated for each variable.

resultsOf the 523 patients studied, 33 (6.3%) remained hospitalized for more than 10 days. Multiple regression analysis revealed that both the presence of diabetes and the inability to perform chair-to-bed transfers (Barthel Index) remained significant risk predictors. Diabetes doubled the risk of prolonged hospital stays, while a chair-to-bed transfer score of 0 or 5 led to an eight-fold increase in risk.

conclusionsIn this study, we propose an easy method that can be used, after external validation, to screen for long-term risk (using diabetes and bed/chair transfer) as a first step in identifying hospitalized elderly patients who will require comprehensive assessment to guide prevention plans and rehabilitation programs.

Indexed as

Mobility LimitationAgedAged, 80 and overCohort StudiesFemaleHospitalizationHumansLength of StayMaleMoving and Lifting PatientsMultivariate AnalysisProspective StudiesRisk AssessmentElderlyLength of stayPredicting modelPredictorsRehabilitation

Identifiers

PMID30898161
PMCPMC6427871
OpenAlexW2937984889

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.