Evidence map›Paper›PMID 32629650›Full record

ArticleMedicine2020

Relationship between plasma total homocysteine and the severity of renal function in Chinese patients with type 2 diabetes mellitus aged ≥75 years.

Ning Ma, Ning Xu, Dong Yin, Weiwei Liu, Mengping Wu, Xingbo Cheng

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

5 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

6 authors at 2 institutions in 1 country.

Ning MaDepartment of Endocrinology and Metabolism, First Affiliated Hospital of Soochow University.
Ning XuDepartment of Endocrinology and Metabolism, Lianyungang No 1 People's Hospital, Jiangsu, China.
Dong YinDepartment of Endocrinology and Metabolism, Lianyungang No 1 People's Hospital, Jiangsu, China.
Weiwei LiuDepartment of Endocrinology and Metabolism, Lianyungang No 1 People's Hospital, Jiangsu, China.
Mengping WuDepartment of Endocrinology and Metabolism, Lianyungang No 1 People's Hospital, Jiangsu, China.
Xingbo ChengDepartment of Endocrinology and Metabolism, First Affiliated Hospital of Soochow University.
First Affiliated Hospital of Soochow University · CNSoochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to investigate the relationship between total homocysteine (tHcy) levels in the plasma and renal function severity in patients with type 2 diabetes mellitus (T2DM) aged ≥75 years.We included 221 patients with T2DM aged ≥60 years (59 aged ≥75 years).tHcy levels among the 4 groups of patients aged ≥60 years significantly differed, but not in those aged ≥75 years. tHcy levels in patients aged ≥60 years were negatively correlated with the estimated glomerular filtration rate. The area under the receiver operating characteristic curve of tHcy for predicting diabetic kidney disease (DKD) was 0.636. Fasting c-peptide and creatinine were independently associated with tHcy levels in patients aged ≥60 years, whereas insulin and creatinine were independently associated with tHcy levels in those aged ≥75 years.tHcy concentrations were elevated in T2DM and can potentially serve as a risk factor for DKD, but it is not an ideal biomarker.

Indexed as

AgedAge FactorsDiabetes Mellitus, Type 2Diabetic NephropathiesFemaleGlomerular Filtration RateHomocysteineHumansKidneyMaleMiddle AgedRisk FactorsSeverity of Illness IndexHomocysteine

Identifiers

PMID32629650
PMCPMC7337561
OpenAlexW3038346169

What OpenQuestion holds

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LicenceCC BY-NC
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.