Evidence map›Paper›PMID 34866150›Full record

ArticleThe journal of nutrition, health & aging2021

Use of the Patient-Generated Subjective Global Assessment to Identify Pre-Frailty and Frailty in Hospitalized Older Adults.

C Y Han, Y Sharma, A Yaxley, C Baldwin, M Miller

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Article in The journal of nutrition, health & aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Addressing Malnutrition in Australian Hospitals: A Scoping Review to Inform Systems Thinking.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2026
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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.

C Y HanChad Yixian Han, Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Sturt Road, Bedford Park, SA5042, Australia, E-mail address: chad.han@flinders.edu.au.
Y Sharma
A Yaxley
C Baldwin
M Miller

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe Scored Patient-Generated Subjective Global Assessment (PG-SGA) and Edmonton Frail Scale (EFS) are widely used in acute care settings to assess nutritional and frailty status, respectively. We aimed to determine whether the scored PG-SGA can identify pre-frailty and frailty status, to simultaneously evaluate malnutrition and frailty in clinical practice.

designCross-sectional study. SETTINGS AND

participantsA convenience sample of 329 consecutive patients admitted to an acute medical unit in South Australia. MEASUREMENTS: Nutritional and frailty status were ascertained with scored PG-SGA and EFS, respectively. Optimal cut-off scores to identify pre-frailty and frailty were determined by calculating the Scored PG-SGA's sensitivity, specificity, positive and negative predictive values, Youden Index (YI), Liu index, Receiver Operator Curves (ROC) and Area Under Curve (AUC). Nutritional status and patient characteristics were analysed according to frailty categories.

resultsThe optimal cut-off PG-SGA score as determined by the highest YI, to identify both pre-frailty and frailty was >3, with a sensitivity of 0.711 and specificity of 0.746. The AUC was 0.782 (95% CI 0.731-0.833). In this cohort, 64% of the patients were well-nourished, 26% were moderately malnourished and 10% were severely malnourished. Forty-three percent, 24% and 33% of the patients were classified as robust, pre-frail and frail, respectively. Bivariate analysis showed that those robust were significantly younger than those who were pre-frail (-2.8, 95% CI -5.5 to -0.1, p=0.036) or frail (-3.4, 95% CI -5.9 to -1.0, p=0.002). Robust patients had significantly lower Scored PG-SGA than those who were pre-frail (-2.5, 95%CI -3.8 to -1.1, p<0.001) or frail (-4.9, 95% CI -6.1 to -3.7, p<0.001).

conclusionThe Scored PG-SGA is moderately sensitive in identifying pre-frailty/frailty in older hospitalized adults and can be useful in identifying both conditions concurrently.

Indexed as

FrailtyMalnutritionAgedCross-Sectional StudiesFrail ElderlyGeriatric AssessmentHumansNutritional StatusNutrition AssessmentFrailhospitalizedmalnutritionolder adultspre-frail

Identifiers

PMID34866150
PMCPMC12275529

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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.