Evidence map›Paper›PMID 34938112›Full record

ArticleInternational journal of general medicine2021

Long Non-Coding RNA HOTAIR Expression and Clinical Significance in Patients with Gestational Diabetes.

Ruifen Su, Xiaoli Wu, Fengmei Ke

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. First Trimester Placental Biomarkers for Pregnancy Outcomes.International journal of molecular sciences · 2024
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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

3 authors at 1 institution in 1 country.

Ruifen Su *Department of Obstetrics and Gynecology, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi, Hubei, People's Republic of China.
Xiaoli Wu *Department of Obstetrics and Gynecology, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi, Hubei, People's Republic of China.
Fengmei KeDepartment of Obstetrics and Gynecology, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi, Hubei, People's Republic of China.
The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe global incidence of gestational diabetes mellitus (GDM) is increasing year by year, and many studies have proved that long non-coding RNA (lncRNA) is involved in the regulation of GDM. The purpose of this study was to investigate the expression of HOTAIR in GDM patients and its clinical significance. PATIENTS AND

methodsNinety-eight healthy pregnant women and 99 pregnant women diagnosed with GDM were enrolled in this study. Blood samples were collected from all participants and used for qRT-PCR analysis to determine the serum HOTAIR levels. The ROC curve was constructed to evaluate the diagnostic value of HOTAIR for GDM. Pearson correlation coefficient was used to estimate the correlation between HOTAIR and clinical indicators of patients. Logistic regression analysis was performed to evaluate the independent predictors of GDM.

resultsThe level of HOTAIR was augmented in GDM group compared with healthy controls. ROC curve revealed that HOTAIR as a diagnostic marker of GDM has high sensitivity and specificity. Pearson correlation coefficient showed that HOTAIR level was positively correlated with body mass index, fasting plasma glucose, 1-hour plasma glucose and 2-hour plasma glucose. Logistic regression analysis shows that HOTAIR is an independent factor of the occurrence of GDM.

conclusionThe abnormal expression of HOTAIR in pregnant women with GDM made it a potential diagnostic biomarker for GDM.

Indexed as

biomarkerdiagnosisgestational diabetes mellitusHOTAIR

Identifiers

PMID34938112
PMCPMC8687518
OpenAlexW4200373570

What OpenQuestion holds

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LicenceCC BY-NC
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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.