Evidence map›Paper›PMID 31118593›Full record

ArticleClinical interventions in aging2019

Mini Nutritional Assessment Scale-Short Form can be useful for frailty screening in older adults.

Pinar Soysal, Nicola Veronese, Ferhat Arik, Ugur Kalan, Lee Smith, Ahmet Turan Isik

Registry-linked trialAbstract read
In one paragraph

Article in Clinical interventions in aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05220631 (A Technological Intervention to Improve Nutrition Among Older Adult Congregate Meal Participants During COVID-19), which is not on this map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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.

NCT05220631 naactive not recruitingnot on this mapstarted 2022, after this paper: background citation

A Technological Intervention to Improve Nutrition Among Older Adult Congregate Meal Participants During COVID-19

TypeinterventionalSponsorThe University of Texas at San AntonioRan2022 to 2026Enrolled369ConditionsNutrition Poor, Physical Inactivity, Social IsolationArmsTechnology intervention, Digital Nutrition Intervention
3 · Its place in the literature

Who cites it

55 citing papers in PubMed.

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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

6 authors.

Pinar SoysalDepartment of Geriatric Medicine, Faculty of Medicine, Bezmialem Vakif University, Istanbul, Turkey, dr.pinarsoysal@hotmail.com.
Nicola VeroneseNational Research Council, Neuroscience Institute, Aging Branch, Padova, Italy.
Ferhat ArikDepartment of Internal Medicine, Geriatric Center, Kayseri Education and Research Hospital, Kayseri, Turkey.
Ugur KalanDepartment of Internal Medicine, Geriatric Center, Kayseri Education and Research Hospital, Kayseri, Turkey.
Lee SmithThe Cambridge Centre for Sport and Exercise Sciences, Anglia Ruskin University, Cambridge, UK.
Ahmet Turan IsikUnit for Aging Brain and Dementia, Department of Geriatric Medicine, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimMini Nutritional Assessment-Short Form (MNA-SF) is used to assess nutritional status in older adults, but it is not known whether it can be used to define frailty. This study was aimed to investigate whether or not MNA-SF can identify frailty status as defined by Fried's criteria.

methodsA total of 1,003 outpatients (aged 65 years or older) were included in the study. All patients underwent comprehensive geriatric assessment. Frailty status was evaluated by Fried's criteria: unintentional weight loss, exhaustion, low levels of activity, weakness, and slowness. One point is assigned for each criterion, and frailty status is identified based on the number of points scored: 0 points, not frail; 1-2 points, pre-frail; ≥3 points, frail. A total score of MNA-SF <8, 8-11, and >11 indicates malnutrition, risk of malnutrition, and no malnutrition, respectively.

resultsOf the 1,003 outpatients (mean age 74.2±8.5 years), 313 participants (31.2%) were considered frail and 382 (38.1%) pre-frail. Among frail and pre-frail patients, 49.2% and 25.1% were at risk of malnutrition and 22.0% and 1.6% were malnourished, respectively. MNA-SF with a cut-off point of 11.0 had a sensitivity of 71.2% and a specificity of 92.8% for the detection of frail participants, and with a cut-off point of 13 had a sensitivity of 45.7% and a specificity of 78.3% for the detection of pre-frailty. The area under the curve for MNA-SF was estimated to be 0.906 and 0.687 for frailty and pre-frailty, respectively.

conclusionMNA-SF can be useful for frailty screening in older adults.

Indexed as

Nutrition AssessmentAgedAged, 80 and overFatigueFemaleFrail ElderlyFrailtyGeriatric AssessmentHumansMaleMalnutritionMass ScreeningOutpatientsSensitivity and SpecificityWeight Lossfrailtymalnutritionnutritional statuspre-frailty

Identifiers

PMID31118593
PMCPMC6475097

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Registered trials

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.