Evidence map›Paper›PMID 26550163›Full record

ArticleInternational journal of clinical and experimental medicine2015

Association of homocysteine with type 1 diabetes mellitus: a meta-analysis.

Yu Feng, Mei-Qin Shan, Lin Bo, Xiao-Yan Zhang, Ji Hu

Abstract read
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In one paragraph

Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-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

10 citing papers in PubMed, 27 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

5 authors at 1 institution in 1 country.

Yu FengDepartment of Endocrinology, The Second Affiliated Hospital of Soochow University Suzhou 215004, China.
Mei-Qin ShanDepartment of Endocrinology, The Second Affiliated Hospital of Soochow University Suzhou 215004, China.
Lin BoDepartment of Rheumatology, The Second Affiliated Hospital of Soochow University Suzhou 215004, China.
Xiao-Yan ZhangDepartment of Endocrinology, The Second Affiliated Hospital of Soochow University Suzhou 215004, China.
Ji HuDepartment of Endocrinology, The Second Affiliated Hospital of Soochow University Suzhou 215004, China.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo figure out the association between plasma Hcy status and type 1 diabetes mellitus (T1DM).

methodsWe searched the PubMed Web of Science, and The Cochrane Library to identify eligible studies. The Newcastle-Ottawa Quality Assessment Scale was used to assess the quality of selected studies. All analyses were performed using the STATA, version 12 software.

results15 studies were included in this investigation. Our meta-analysis indicated that plasma Hcy concentrations in T1DM patients without any complications were normal compared with healthy people [13 studies, SMD: -0.08, 95% confidence interval (CI): -0.44 to 0.28, P=0.67]. However, a significant elevation of plasma Hcy concentrations was observed in T1DM patients with only diabetic retinopathy (DR) (5 studies, SMD: 0.34, 95% CI: 0.13 to 0.55, P=0.002), only diabetic nephropathy (DN) (4 studies, SMD: 0.76, 95% CI: 0.18 to 1.33, P=0.01) and both the two complications (3 studies, SMD: 1.05, 95% CI: 0.03 to 2.07, P=0.043) compared with T1DM patients without any complications.

conclusionsHomocysteine levels elevate in T1DM patients with DR and DN, but don't elevate in T1DM without any complications.

Indexed as

diabetic nephropathydiabetic retinopathyHomocysteinemeta-analysistype 1 diabetes mellitus

Identifiers

PMID26550163
PMCPMC4612848
OpenAlexW2095636399

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.