Evidence map›Paper›PMID 28491871›Full record

ArticleJournal of diabetes research2017

The Imbalance of B-Lymphocyte Subsets in Subjects with Different Glucose Tolerance: Relationship with Metabolic Parameter and Disease Status.

Chao Deng, Yufei Xiang, Tingting Tan, Zhihui Ren, Chuqing Cao, Bingwen Liu, Gan Huang, Xiangbing Wang, Zhiguang Zhou

Abstract read
In one paragraph

Article in Journal of diabetes research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

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  13. Frontiers in immunology · 2017
    Review
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

9 authors.

Chao DengDepartment of Metabolism & Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China.ORCID 0000-0002-1994-949X
Yufei XiangDepartment of Metabolism & Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China.
Tingting TanDepartment of Metabolism & Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China.
Zhihui RenDepartment of Metabolism & Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China.
Chuqing CaoDepartment of Metabolism & Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China.
Bingwen LiuDepartment of Metabolism & Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China.
Gan HuangDepartment of Metabolism & Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China.
Xiangbing WangDivision of Endocrinology, Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.ORCID 0000-0002-8242-7475
Zhiguang ZhouDepartment of Metabolism & Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China.ORCID 0000-0002-0374-1838

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

B lymphocytes are involved in inflammation and are related to insulin resistance in obesity and type 2 diabetes (T2D). This study investigated the phenotype and frequency of B-lymphocyte subsets in subjects recently diagnosed with T2D (

Indexed as

AdultAntigens, CD19Blood GlucoseB-LymphocytesB-Lymphocyte SubsetsCase-Control StudiesCD5 AntigensDiabetes Mellitus, Type 2FemaleFlow CytometryGlucose IntoleranceGlycated HemoglobinHumansInsulin ResistanceLogistic ModelsMaleAntigens, CD19Blood GlucoseCD19 molecule, humanCD5 AntigensGlycated Hemoglobinhemoglobin A1c protein, humanReceptors, IgETriglycerides

Identifiers

PMID28491871
PMCPMC5410374

What OpenQuestion holds

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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.