Evidence map›Paper›PMID 38140829›Full record

ArticleJournal of diabetes2023

Long noncoding RNAs as potential diagnostic biomarkers for diabetes mellitus and complications: A systematic review and meta-analysis.

Xuee Su, Huibin Huang, Jinqing Lai, Shu Lin, Yinqiong Huang

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-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

8 citing papers in PubMed, 7 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 2 countries.

Xuee SuCentre of Neurological and Metabolic Research, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Huibin HuangDepartment of Endocrinology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Jinqing LaiDepartment of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Shu LinCentre of Neurological and Metabolic Research, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.ORCID https://orcid.org/0000-0002-4239-2028
Yinqiong HuangCentre of Neurological and Metabolic Research, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.ORCID https://orcid.org/0000-0001-9186-3896
Fujian Medical University · CN

Funding

Key Young Talents Health Training Project of Fujian Province 2020GGA057National Natural Science Foundation of China 82200871Natural Science Foundation of Fujian Province 2020J01221the Nursery Fund Project of the Second Affiliated Hospital of Fujian Medical University 2021MP25the Science and Technology Bureau of Quanzhou 2020CT003
6 · The paper itself

Abstract

aimsLong noncoding RNAs (lncRNAs) may be associated with the development of type 2 diabetes mellitus and its complications; however, the findings remain controversial. We aimed to synthesize the available data to assess the diagnostic utility of lncRNAs for identification of type 2 diabetes mellitus and its consequences. MATERIALS AND

methodsWe performed a systematic review and meta-analysis, searching PubMed, Embase, and Web of Science for articles published from September 11, 2015 to December 27, 2022. We evaluated human case-control or cohort studies on differential lncRNA expression in type 2 diabetes mellitus or its associated comorbidities. We excluded studies if they were non-peer reviewed or published in languages other than English. From 2387 identified studies, we included 17 (4685 participants).

resultsAnalysis of the pooled data showed that lncRNAs had a diagnostic area under the curve (AUC) of 0.84 (95% CI: 0.80-0.87), with a sensitivity of 0.79 (95% CI: 0.74-0.83) and a specificity of 0.75 (95% CI: 0.69-0.80). LncRNAs had an AUC of 0.65 for the diagnosis of prediabetes, with 82% sensitivity and 65% specificity.

conclusionsLncRNAs may be promising diagnostic markers for type 2 diabetes mellitus and its complications.

Indexed as

diabetic nephropathydiabetic retinopathylong noncoding RNAmeta-analysistype 2 diabetes mellitus

Identifiers

PMID38140829
PMCPMC10847882
OpenAlexW4390143655

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.