Evidence map›Paper›PMID 35342627›Full record

ArticleSAGE open medicine2022

Correlation between percentage of fat mass and level of disease activity in rheumatoid arthritis.

Guadalupe Mendoza-Vázquez, Francisco Espinoza-Gómez, Alberto Daniel Rocha-Muñoz, Jorge I Gamez-Nava, Laura Gonzalez-Lopez, Mario Salazar-Paramo, Carlos Riebeling-Navarro, Javier Alejandro Aceves-Aceves, Sandra Guzmán-Silahua, Arnulfo Hernán Nava-Zavala

Open access · goldAbstract read
In one paragraph

Article in SAGE open medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 4 institutions in 1 country.

Guadalupe Mendoza-VázquezUnidad de Investigación Epidemiologica y en Servicios de Salud y Unidad de Investigación Biomédica 02, Unidad Médica de Alta Especialidad, Hospital de Especialidades, Centro Médico Nacional de Occidente, OOAD Jalisco, Instituto Mexicano del Seguro Social, Guadalajara, México.ORCID https://orcid.org/0000-0001-8562-6042
Francisco Espinoza-GómezPrograma de Doctorado en Ciencias Médicas, Facultad de Medicina, Universidad de Colima, Colima, México.
Alberto Daniel Rocha-MuñozCentro Universitario de Tonalá, Universidad de Guadalajara, Tonalá, México.
Jorge I Gamez-NavaUnidad de Investigación Epidemiologica y en Servicios de Salud y Unidad de Investigación Biomédica 02, Unidad Médica de Alta Especialidad, Hospital de Especialidades, Centro Médico Nacional de Occidente, OOAD Jalisco, Instituto Mexicano del Seguro Social, Guadalajara, México.
Laura Gonzalez-LopezPrograma de Doctorado en Farmacología, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, México.
Mario Salazar-ParamoDepartamento de Fisiología, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, México.
Carlos Riebeling-NavarroUnidad de Investigación en Epidemiología Clínica, Unidad Médica de Alta Especialidad, Hospital de Pediatría, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Ciudad de México, México.
Javier Alejandro Aceves-AcevesUnidad de Investigación Epidemiologica y en Servicios de Salud y Unidad de Investigación Biomédica 02, Unidad Médica de Alta Especialidad, Hospital de Especialidades, Centro Médico Nacional de Occidente, OOAD Jalisco, Instituto Mexicano del Seguro Social, Guadalajara, México.
Sandra Guzmán-SilahuaUnidad de Investigación Epidemiologica y en Servicios de Salud y Unidad de Investigación Biomédica 02, Unidad Médica de Alta Especialidad, Hospital de Especialidades, Centro Médico Nacional de Occidente, OOAD Jalisco, Instituto Mexicano del Seguro Social, Guadalajara, México.ORCID https://orcid.org/0000-0002-8751-2994
Arnulfo Hernán Nava-ZavalaUnidad de Investigación Epidemiologica y en Servicios de Salud y Unidad de Investigación Biomédica 02, Unidad Médica de Alta Especialidad, Hospital de Especialidades, Centro Médico Nacional de Occidente, OOAD Jalisco, Instituto Mexicano del Seguro Social, Guadalajara, México.ORCID https://orcid.org/0000-0003-3061-521X
Mexican Social Security Institute · MXUniversidad de Guadalajara · MXUniversidad Autónoma de Guadalajara · MXUniversidad de Colima · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Controversies exist regarding the relationship between body fat and disease activity in patients with rheumatoid arthritis. The evaluation of the disease is critical for establishing treatment and prognosis. Fat mass could be a predictive factor for poor prognosis in rheumatoid arthritis because of its association with low- and high-grade inflammation. Objective: To evaluate the correlation between fat mass values and disease activity in patients with rheumatoid arthritis. Materials and methods: This was a cross-sectional study. Eighty female patients diagnosed with rheumatoid arthritis (American College of Rheumatology of 1987) were evaluated. For each one, the evaluation determined fat mass using bioelectrical impedance analysis and disease activity using the Disease Activity Score on 28 joints (DAS28). Results: The mean age was 59.11 ± 9.92 years, with an average disease duration of 14.13 ± 10.13 years; 85% of patients showed a high body fat percentage. Pearson's correlation between DAS28 values and fat mass was Conclusion: The levels of DAS28 showed no correlation with fat mass percentage. Further studies are required to clarify the factors that can modify these levels.

Indexed as

body mass indexchronic diseaseDAS28fat massRheumatoid arthritis

Identifiers

PMID35342627
PMCPMC8943587
OpenAlexW4220977473

What OpenQuestion holds

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Registered trials

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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.