Evidence map›Paper›PMID 25286451›Full record

ArticleThe journal of nutrition, health & aging2014

The diagnostic accuracy of the Revised Mini Nutritional Assessment Short Form for older people living in the community and in nursing homes.

H Simsek, S Sahin, R Ucku, C C Sieber, R Meseri, P Tosun, F Akcicek

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Article in The journal of nutrition, health & aging, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-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

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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

6 citing papers in PubMed, 10 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

7 authors at 1 institution in 1 country.

H SimsekHatice Simsek, Dokuz Eylul University, Faculty of Medicine Izmir, Turkey, haticesimsek@yahoo.com.
S Sahin
R Ucku
C C Sieber
R Meseri
P Tosun
F Akcicek
Dokuz Eylül University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to determine the diagnostic accuracy of the CC-SF, which was developed to use calf circumference (CC) instead of BMI in the MNA-SF, for elderly people living in the community and in nursing homes. It also aimed separately to determine the correlation of CC-SF and BMI-SF with the full MNA. STUDY DESIGN AND

methodsThe study included 640 elderly people living in their community and 243 elderly people living in nursing homes. Accuracy was assessed by determining the sensitivity and selectivity of the nutritional assessments. The correlations between the MNA-SFs and the full MNA were analyzed.

resultsThe correlation between MNA-SFs and full MNAs was strong, significant and almost identical both in the community and in nursing homes (r=0.86-0.88; p<0.001). The observed agreement between the BMI-SF and the full MNA was 82.2% in the community and 77.8% in the nursing homes. There was a substantial agreement by kappa values in the comparison of community and nursing homes (the Kappa value of the BMI-SF was 0.63 in the community and 0.62 in the nursing homes, and the kappa value of the CC-SF was 0.62 in the community and 0.63 in the nursing homes). When compared to the full MNA the MNA-SFs tended to underestimate nutritional status. Both MNA-SFs had similarly high sensitivity and selectivity, both in the community and nursing homes. (when dichotomized as "malnourished-at risk of malnutrition" versus " well nourished" and "malnourished" versus "at risk of malnutrition-well nourished") (over 80%).

conclusionIn cases where BMI cannot be determined, the CC-SF is a good substitute for the BMI-SF.

Indexed as

Nutrition AssessmentAgedAged, 80 and overBody Mass IndexFemaleGeriatric AssessmentHumansLegMaleNursing HomesNutritional StatusResidence Characteristics

Identifiers

PMID25286451
PMCPMC12877501
OpenAlexW2090668965

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.