Evidence map›Paper›PMID 35657128›Full record

Observational studyArchives of endocrinology and metabolism2022

Prevalence of sarcopenia in women at stable weight phase after Roux-en-Y gastric bypass.

Andreia Fabiana Bueno Buzza, Cristina Aquino Machado, Felipe Pontes, Letícia Guadanhim Sampaio, Júlia Soares Contador, Carolina Labigalini Sampaio, Rosana Bento Radominski, Cesar Luiz Boguszewski, Victoria Zeghbi Cochenski Borba

Open access · diamondAbstract readObservational Study
In one paragraph

Observational study in Archives of endocrinology and metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.3field-weighted citation impact, top 7% 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.

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

7 citing papers in PubMed, 28 citations in OpenAlex.

  1. Sarcopenic Obesity in Metabolic and Bariatric Surgery: A Scoping Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Article
  2. Observational
  3. Review
  4. Sarcopenic obesity: a review.Archives of endocrinology and metabolism · 2025
    Review
  5. Review
  6. Article
  7. Precision nutrition in the context of bariatric surgery.Reviews in endocrine & metabolic disorders · 2023
    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

9 authors at 3 institutions in 1 country.

Andreia Fabiana Bueno BuzzaDepartamento de Clínica Médica, Serviço de Endocrinologia e Metabologia do Hospital de Clínicas da Universidade Federal do Paraná (SEMPR), Curitiba, PR, Brasil, mestrado.deia@gmail.com.
Cristina Aquino MachadoCentro de Ciências da Saúde da Faculdade de Medicina da Universidade Federal do Paraná, Curitiba, PR, Brasil.
Felipe PontesCentro de Ciências da Saúde da Faculdade de Medicina da Universidade Federal do Paraná, Curitiba, PR, Brasil.
Letícia Guadanhim SampaioCentro de Ciências da Saúde da Faculdade de Medicina da Universidade Federal do Paraná, Curitiba, PR, Brasil.
Júlia Soares ContadorHospital Evangélico Mackenzie, Curitiba, PR, Brasil.
Carolina Labigalini SampaioCentro de Ciências da Saúde da Faculdade de Medicina da Universidade Federal do Paraná, Curitiba, PR, Brasil.
Rosana Bento RadominskiDepartamento de Clínica Médica, Serviço de Endocrinologia e Metabologia do Hospital de Clínicas da Universidade Federal do Paraná (SEMPR), Curitiba, PR, Brasil.
Cesar Luiz BoguszewskiDepartamento de Clínica Médica, Serviço de Endocrinologia e Metabologia do Hospital de Clínicas da Universidade Federal do Paraná (SEMPR), Curitiba, PR, Brasil.
Victoria Zeghbi Cochenski BorbaDepartamento de Clínica Médica, Serviço de Endocrinologia e Metabologia do Hospital de Clínicas da Universidade Federal do Paraná (SEMPR), Curitiba, PR, Brasil.
Hospital de Clínicas Universidade Federal do Paraná · BRUniversidade Federal do Paraná · BRHospital Universitário Evangélico de Curitiba · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Evaluating the prevalence of sarcopenia in women submitted to bariatric surgery - Roux-en-Y gastric bypass. Design: Observational, cross-sectional study. Subjects and methods: Women (18-65 years old) who underwent bariatric surgery (BG) ≥ 2 years and reached stable weight ≥ 6 months, were investigated. Control group (CG) comprised non-operated matched women with obesity. Body composition was determined through dual-energy X-ray absorptiometry. Low lean mass (LLM) was defined as appendicular lean mass index (ALM kg/height m Results: One-hundred and twenty women (60 in each group, 50 ± 9.7 years old) were investigated. All anthropometric and body composition parameters were lower in BG than in CG, whereas strength and performance were similar between groups. Women with reduced strength presented high total fat mass and low physical activity level (p < 0.005). LLM was observed in 35% of BG and in 18.3% of CG (p = 0.04), whereas sarcopenia was diagnosed in 28.3% of BG and in 16.6% of CG (p = 0.12). Sarcopenic women in BG had better performance both in SST (p = 0.001) and SPPB (p = 0.004). Total lean mass (OR:1.41, 95% CI [1.18; 1.69], p < 0.001) and obesity (OR: 38.2 [2.27; 644.12], p < 0.001) were associated with sarcopenia in the multivariate analysis. Conclusion: Despite great weight loss, sarcopenia prevalence did not increase in BG and its presence was influenced by total lean mass and obesity.

Indexed as

Body CompositionGastric BypassSarcopeniaAbsorptiometry, PhotonAdolescentAdultAgedCross-Sectional StudiesFemaleHumansMiddle AgedMuscle StrengthObesityObesity, MorbidPrevalenceYoung Adultbariatric surgeryObesityphysical performancesarcopeniastrength

Identifiers

PMID35657128
PMCPMC9832848
OpenAlexW4281669383

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.