Evidence map›Paper›PMID 34652723›Full record

ArticleIrish journal of medical science2022

Long non-coding RNA myocardial infarction associated transcript expression and clinical significance in patients with hypertension during pregnancy.

Xiaoli Wu, Ruifen Su

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Article in Irish journal of medical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

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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

2 citing papers in PubMed, 2 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Xiaoli Wu *Department of Obstetrics and Gynecology, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, No.158 Wuyang Avenue, Enshi, 445000, Hubei, China. xiao541cebai@163.com.ORCID http://orcid.org/0000-0003-1421-4336
Ruifen Su *Department of Obstetrics and Gynecology, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, No.158 Wuyang Avenue, Enshi, 445000, Hubei, 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

objectiveThis study aimed to investigate the expression level of lncRNA myocardial infarction associated transcript (MIAT) in serum of pregnant women with hypertensive disorders in pregnancy (HDP) and its clinical significance.

methodsA total of 135 pregnant women with HDP were selected, including 69 pregnant women with gestational hypertension (GH) and 66 pregnant women with preeclampsia (PE). Sixty-eight normal pregnant women were selected as healthy control group (HC). The expression level of serum MIAT of all subjects was detected by quantitative real-time polymerase chain reaction (qRT-PCR), and the diagnostic value of MIAT for GH was evaluated by constructing receiver operating characteristic (ROC) curve. Pearson correlation coefficient was used to analyze the correlation between MIAT and patients' clinical indicators. Logistics regression analysis evaluated the influencing factors of GH development into PE.

resultsThe level of MIAT in GH group was significantly higher than that in HC group, while MIAT level in PE group was more significantly upregulated than that in GH group and HC group. ROC curve showed that MIAT had the ability to distinguish between GH patients and healthy controls. Pearson correlation coefficient suggested that HOTAIR expression was positively correlated with systolic blood pressure (SBP) and diastolic blood pressure (DPB). Logistic regression analysis showed that MIAT was an independent influencing factor for the development of GH to PE.

conclusionThe expression of MIAT in serum of HDP patients was increased and positively correlated with the severity of the disease. The abnormal expression of MIAT has certain diagnostic value for GH.

Indexed as

HypertensionMyocardial InfarctionPre-EclampsiaRNA, Long NoncodingFemaleHumansPregnancyMiat long non-coding RNARNA, Long NoncodingDiagnosisGestational hypertensionMIATPreeclampsia

Identifiers

PMID34652723
OpenAlexW3206394507

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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.