Evidence map›Paper›PMID 36432512›Full record

ArticleNutrients2022

Relationship between Nutritional Status, Food Consumption and Sarcopenia in Post-Stroke Rehabilitation: Preliminary Data.

Mariacristina Siotto, Marco Germanotta, Alessandro Guerrini, Simona Pascali, Valeria Cipollini, Laura Cortellini, Elisabetta Ruco, Yeganeh Manon Khazrai, Laura De Gara, Irene Aprile

Registry-linked trialOpen access · goldAbstract 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. It is linked to trial NCT06255145 (Assessment of Body Composition, Fatigue, Mobility and Functional Status in Post-Stroke Individuals), which is not on this map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.9field-weighted citation impact, top 8% 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.

NCT06255145 nacompletednot on this map

Assessment of Body Composition, Fatigue, Mobility and Functional Status in Post-Stroke Individuals

TypeinterventionalSponsorPamukkale UniversityRan2021 to 2022Enrolled42ConditionsCerebrovascular Stroke, Body CompositionArmsBioelectrical Impedance Analysis
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 27 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Article
  11. Observational
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
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 2 institutions in 1 country.

Mariacristina SiottoIRCCS Fondazione Don Carlo Gnocchi ONLUS, 50143 Florence, Italy.ORCID 0000-0003-0837-0594
Marco GermanottaIRCCS Fondazione Don Carlo Gnocchi ONLUS, 50143 Florence, Italy.ORCID 0000-0002-0747-831X
Alessandro GuerriniDepartment of Science and Technology for Humans and the Environment, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.ORCID 0000-0002-3313-2312
Simona PascaliIRCCS Fondazione Don Carlo Gnocchi ONLUS, 50143 Florence, Italy.
Valeria CipolliniIRCCS Fondazione Don Carlo Gnocchi ONLUS, 50143 Florence, Italy.
Laura CortelliniIRCCS Fondazione Don Carlo Gnocchi ONLUS, 50143 Florence, Italy.
Elisabetta RucoIRCCS Fondazione Don Carlo Gnocchi ONLUS, 50143 Florence, Italy.
Yeganeh Manon KhazraiUnit of Food Science and Nutrition, Department of Science and Technology for Humans and the Environment, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.ORCID 0000-0002-4729-3125
Laura De GaraUnit of Food Science and Nutrition, Department of Science and Technology for Humans and the Environment, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.ORCID 0000-0001-5938-7113
Irene AprileIRCCS Fondazione Don Carlo Gnocchi ONLUS, 50143 Florence, Italy.
Don Carlo Gnocchi Foundation · ITUniversità Campus Bio-Medico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

After a stroke, patients can suffer from sarcopenia, which can affect recovery. This could be closely related to an impairment in nutritional status. In this preliminary analysis of a longitudinal prospective study, we screened 110 subjects admitted to our rehabilitation center after a stroke. We then enrolled 61 patients, who underwent a 6-week course of rehabilitation treatment. We identified a group of 18 sarcopenic patients (SG), according to the European Working Group on Sarcopenia in Older People 2 (EWGSOP2), by evaluating muscle strength with the handgrip test, and muscle mass with bioelectrical impedance analysis (BIA). With respect to the non-sarcopenic group (NSG), the SG at admission (T0) had worse muscle quality, according to the BIA-derived phase angle, and a lower score of MNA®-SF. In contrast to the NSG, the SG also exhibited lower values for both BMI and the Geriatric Nutritional Risk Index (GNRI) at T0 and T1. Moreover, 33% of the SG had a major risk of nutrition-related complications (GNRI at T0 < 92) and discarded on average more food during the six weeks of rehabilitation (about one-third of the average daily plate waste). Of note is the fact that the Barthel Index’s change from baseline indicated that the SG had a worse functional recovery than the NGS. These results suggest that an accurate diagnosis of sarcopenia, along with a proper evaluation of the nutritional status on admission to rehabilitation centers, appears strictly necessary to design individual, targeted physical and nutritional intervention for post-stroke patients, to improve their ability outcomes.

Indexed as

SarcopeniaStrokeStroke RehabilitationAgedHand StrengthHumansNutritional StatusPreliminary DataProspective Studiesbioelectrical impedance analysisfood consumptionfunctional recoveryGeriatric Nutritional Risk Indexmalnutrition: nutritionnutritional intakeplate wastepost-strokerehabilitationsarcopenia

Identifiers

PMID36432512
PMCPMC9693787
OpenAlexW4309309861

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.