Evidence map›Paper›PMID 35911095›Full record

ArticleFrontiers in nutrition2022

Correlations Between Iron Status and Body Composition in Patients With Type 2 Diabetes Mellitus.

Chen Zimiao, Luo Dongdong, Chen Shuoping, Zhou Peng, Zheng Fan, Chen Rujun, Gong Xiaohua

Open access · goldAbstract read
In one paragraph

Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 10 citations in OpenAlex.

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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

7 authors at 4 institutions in 1 country.

Chen ZimiaoDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Luo DongdongDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital of Dalian Medical University, Dalian Medical University, Dalian, China.
Chen ShuopingDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Zhou PengCentral Hospital of Qiaoxia Town, Wenzhou, China.
Zheng FanCollege of Psychiatry, Wenzhou Medical University, Wenzhou, China.
Chen RujunDepartment of Burn, 906 Hospital of the Joint Logistics Team, PLA, Wenzhou, China.
Gong XiaohuaDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
First Affiliated Hospital of Wenzhou Medical University · CNWenzhou Medical University · CNSecond Affiliated Hospital of Dalian Medical University · CNWenzhou Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Our study aimed to investigate the association between iron metabolism and body composition in patients with type 2 diabetes mellitus (T2DM). Methods: A total of 824 patients with T2DM were enrolled. Measurements of body composition were obtained by dual-energy X-ray absorptiometry. Patients were stratified into three groups according to their sex-specific ferritin levels. Basic information, laboratory results, and body composition were collected. Results: Serum iron and transferrin saturation (TSAT) were increased significantly with increased serum ferritin (all Conclusion: Higher serum iron and ferritin concentrations were positively associated with a higher VF. Higher serum iron concentrations were positively correlated with a high A/G ratio. This study indicates the potential relationship between iron overload and the body composition in patients with T2DM.

Indexed as

android-to-gynoid fat ratiobody compositioniron metabolismtype 2 diabetes mellitusvisceral fat mass

Identifiers

PMID35911095
PMCPMC9326402
OpenAlexW4285083451

What OpenQuestion holds

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LicenceCC BY
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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.