Evidence map›Paper›PMID 35179679›Full record

ArticleClinical and experimental nephrology2022

Total iron binding capacity is a predictor for muscle loss in maintenance hemodialysis patients.

Misa Ikeda-Taniguchi, Keiko Takahashi, Kanji Shishido, Hirokazu Honda

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Article in Clinical and experimental nephrology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Misa Ikeda-TaniguchiDepartment of Medicine, Division of Nephrology, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8666, Japan. m.ikeda@med.showa-u.ac.jp.
Keiko TakahashiDivision of Dialysis, Maeda Kinen Shin Yokohama Clinic, Kawasaki, Kanagawa, Japan.
Kanji ShishidoDepartment of Medicine, Kawasaki Clinic, Kawasaki, Kanagawa, Japan.
Hirokazu HondaDepartment of Medicine, Division of Nephrology, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8666, Japan.
Showa University · JPKawasaki Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProtein-energy wasting in hemodialysis (HD) patients is characterized by decreased skeletal muscle mass and plasma protein. Some previous studies reported relationships between skeletal muscle dysfunction and iron deficiency. Dialysis patients with malnutrition may have a functional iron deficiency (FID) because of inflammation. Serum total iron binding capacity (TIBC), correlated with transferrin, is a nutritional status marker in HD patients and a biomarker of iron status. The relationship between muscle loss and iron status is unknown. The aim of the present study was to assess the relationship between iron status and change in skeletal muscle mass.

methodsA prospective cohort of 267 HD patients was examined for 12 months. Blood samples were obtained at baseline to measure TIBC, ferritin, transferrin saturation (TSAT), and hepcidin-25. Nutritional status and changes in muscle mass were assessed by subjective global assessment, albumin, creatinine index, and percentage creatinine generation rate.

resultsAt baseline, lower tertiles of TIBC were significantly related to lower muscle mass and albumin levels; they were also significantly correlated with high ferritin, hepcidin-25, and TSAT levels, as well as a higher proportion of use of erythropoiesis-stimulating agents. Multiple regression analysis adjusted with confounders showed TIBC was an independent biomarker for decreased muscle mass and albumin. Change in muscle mass remained significantly decreased in the lower tertile of TIBC and in malnourished patients.

conclusionsThe present study demonstrated relationships between FID and muscle loss. TIBC was an independent biomarker of muscle loss in HD patients, considering iron status, inflammation, oxidative stress, and malnutrition.

Indexed as

Iron DeficienciesMalnutritionAlbuminsBiomarkersCreatinineFerritinsHepcidinsHumansInflammationIronMusclesProspective StudiesRenal DialysisTransferrinAlbuminsBiomarkersCreatinineFerritinsHepcidinsIronTransferrinFunctional iron deficiencyHemodialysisProtein-energy wastingSkeletal muscle lossTotal iron binding capacity

Identifiers

PMID35179679
OpenAlexW4212847865

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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.