Evidence map›Paper›PMID 35745264›Full record

ArticleNutrients2022

Validation of the Italian Version of the SARC-F Questionnaire to Assess Sarcopenia in Older Adults.

Simone Perna, Clara Gasparri, Cinzia Ferraris, Gaetan Claude Barrile, Alessandro Cavioni, Francesca Mansueto, Zaira Patelli, Gabriella Peroni, Alice Tartara, Marco Zese and 1 more

Abstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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.

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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Pain characterization in osteosarcopenia: an exploratory study.Frontiers in rehabilitation sciences · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
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

11 authors.

Simone PernaDepartment of Biology, College of Science, University of Bahrain, Sakhir Campus, Zallaq P.O. Box 32038, Bahrain.ORCID 0000-0002-2720-1473
Clara GasparriEndocrinology and Nutrition Unit, Azienda di Servizi alla Persona ''Istituto Santa Margherita'', University of Pavia, 27100 Pavia, Italy.ORCID 0000-0002-1088-6648
Cinzia FerrarisLaboratory of Food Education and Sport Nutrition, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy.ORCID 0000-0002-4148-2136
Gaetan Claude BarrileEndocrinology and Nutrition Unit, Azienda di Servizi alla Persona ''Istituto Santa Margherita'', University of Pavia, 27100 Pavia, Italy.
Alessandro CavioniEndocrinology and Nutrition Unit, Azienda di Servizi alla Persona ''Istituto Santa Margherita'', University of Pavia, 27100 Pavia, Italy.
Francesca MansuetoEndocrinology and Nutrition Unit, Azienda di Servizi alla Persona ''Istituto Santa Margherita'', University of Pavia, 27100 Pavia, Italy.
Zaira PatelliEndocrinology and Nutrition Unit, Azienda di Servizi alla Persona ''Istituto Santa Margherita'', University of Pavia, 27100 Pavia, Italy.
Gabriella PeroniEndocrinology and Nutrition Unit, Azienda di Servizi alla Persona ''Istituto Santa Margherita'', University of Pavia, 27100 Pavia, Italy.ORCID 0000-0002-1632-1787
Alice TartaraEndocrinology and Nutrition Unit, Azienda di Servizi alla Persona ''Istituto Santa Margherita'', University of Pavia, 27100 Pavia, Italy.
Marco ZeseEndocrinology and Nutrition Unit, Azienda di Servizi alla Persona ''Istituto Santa Margherita'', University of Pavia, 27100 Pavia, Italy.
Mariangela RondanelliIRCCS Mondino Foundation, 27100 Pavia, Italy.ORCID 0000-0001-8336-4851

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: SARC-F is a simple sarcopenia screening tool. This study aimed to examine the validity of the Italian version of SARC-F. Methods: A total of 97 elderly individuals (37/60 males/females, 65 years and older) who met the study’s selection criteria were included. SARC-F was translated into the Italian language in a culturally responsive manner. The total score was calculated by adding the scores on the five items. The participants were divided into two groups according to the total score (SARC-F < 4 vs. SARC-F ≥ 4), and their associations with various factors (handgrip test, chair stand test, and Skeletal Muscle Index assessed by DXA) have been examined by gender. In addition, the tool’s validity was analyzed by comparing it with different international working group diagnostic criteria for sarcopenia. Results: The total prevalence of sarcopenia according to the SARC-F was 14.2% and, specifically, 12.8% among men and 14.3% in women. The sensitivity of the SARC-F was (male (M): 11−50% and female (F): 22−36%) medium-low compared with the European, international, and Asian criteria of sarcopenia; however, SARC-F showed a high specificity (M: 77.3−100% and F: 79.5−100%) and a moderate Cronbach’s alpha coefficient of (0.669 (CI95%: 0.358−0.830). The participants in the SARC-F ≥ 4 group had poorer handgrip for EWGSOP2 (p < 0.001) and chair stand (p < 0.001) than the participants in the SARC-F < 4 group. Conclusions: The Italian language version of SARC-F showed high specificity, moderate reliability, and good associations with other predictive tests. The Italian version of SARC-F appears to be a useful screening tool for the diagnosis of sarcopenia in Italian elderly populations.

Indexed as

SarcopeniaAgedCross-Sectional StudiesFemaleGeriatric AssessmentHand StrengthHumansLanguageMaleReproducibility of ResultsSurveys and QuestionnaireselderlyfrailtyItalianmuscleSARC-Fsarcopenia

Identifiers

PMID35745264
PMCPMC9228620

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.