Evidence map›Paper›PMID 31346922›Full record

SynthesisEndocrine2019

Dysregulated expression of long noncoding RNAs serves as diagnostic biomarkers of type 2 diabetes mellitus.

Weiyue Zhang, Juan Zheng, Xiang Hu, Lulu Chen

Erratum issuedAbstract readMeta-AnalysisReview
PubMed Publisher
In one paragraph

Synthesis in Endocrine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Weiyue ZhangDepartment of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022, Wuhan, China.
Juan ZhengDepartment of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022, Wuhan, China.
Xiang HuDepartment of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022, Wuhan, China.
Lulu ChenDepartment of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022, Wuhan, China. cheria_chen@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLong noncoding RNAs (LncRNAs) are widely investigated in various diseases as a novel type of biomarkers. We aimed to elucidate the diagnostic values of lncRNAs in patients with type 2 diabetes mellitus (T2DM).

methodsWe comprehensively searched PubMed, Web of Science, EMBASE, CBM, Scopus, and the Cochrane Library databases from the inception to 3 January 2019. Studies concerning the association between lncRNAs expression and diagnostic outcomes in type 2 diabetes mellitus patients were included. We employed pooled odds ratios (ORs) and 95% confidence intervals (CIs) to evaluate diagnostic parameters.

resultsSeven relevant studies were eligible in our study. The pooled results showed that lncRNAs performed the area under the curve (AUC) of 0.73 (95%Cl: 0.69-0.77), with sensitivity of 0.71 (95%Cl: 0.64-0.77) and specificity of 0.66 (95%Cl: 0.60-0.71) in discriminating type 2 diabetes from healthy controls. As for prediabetes, lncRNAs conducted AUC of 0.75 with 76% sensitivity and 64% specificity. Moreover, subgroup analysis based on expression levels of lncRNAs, sample sizes, and specimen of eligible studies were further performed.

conclusionsThis study indicates that lncRNAs may serve as promising indicators for diagnostic evaluation of T2DM patients.

Indexed as

BiomarkersDiabetes Mellitus, Type 2HumansReproducibility of ResultsRNA, Long NoncodingSensitivity and SpecificityBiomarkersRNA, Long NoncodingDiagnosisLong noncoding RNAMeta-analysis.Type 2 diabetes mellitus

Identifiers

What OpenQuestion holds

Textmetadata
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.