Evidence map›Paper›PMID 34163200›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2021

Influence of Low Total Triiodothyronine Levels on Bone Turnover Markers in Type 2 Diabetes Mellitus.

Zelin Li, Xian Yu, Luping Ren, Zi Wang, Fei Wang, Yujiao Jia, Shuchun Chen

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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 1 institution in 1 country.

Zelin LiGraduate School of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Xian YuDepartment of Endocrinology, Hebei General Hospital, Shijiazhuang, Hebei, People's Republic of China.
Luping RenDepartment of Endocrinology, Hebei General Hospital, Shijiazhuang, Hebei, People's Republic of China.
Zi WangDepartment of Infectious Diseases, Shanghai Fourth People' s Hospital, Shanghai, People's Republic of China.
Fei WangGraduate School of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Yujiao JiaGraduate School of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Shuchun ChenGraduate School of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Hebei General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to investigate whether low total triiodothyronine (TT3) could affect bone turnover in patients with type 2 diabetes mellitus (T2DM). MATERIALS AND

methodsThis is a cross-sectional study that recruited 577 patients with T2DM, 141 patients formed the low TT3 group (TT3<1.30nmol/L) and 436 patients formed the control group (TT3≥1.30nmol/L), and the low TT3 group was further subdivided into four groups based on the TT3 level. To investigate whether TT3 level is associated with poor glycemic control, all participants were divided into high glycosylated hemoglobin (HbA1c) group and low HbA1c group using HbA1c 10.5% as the boundary.

resultsThe levels of OC and PINP were significantly lower in the low TT3 group compared with the control group (

conclusionIn patients with T2DM, low TT3 levels are associated with impaired bone formation. What's more, bone formation was significantly impaired when TT3 was <1.00 nmol/L.

Indexed as

bone turnover markerslow TT3 levelthyroid hormonestype 2 diabetes mellitus

Identifiers

PMID34163200
PMCPMC8215934
OpenAlexW3171008591

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.