Evidence map›Paper›PMID 31880027›Full record

ArticleJournal of clinical laboratory analysis2020

Predictive value of long non-coding RNA intersectin 1-2 for occurrence and in-hospital mortality of severe acute pancreatitis.

Jun Li, Xiaofen Bu, Xuanlan Chen, Peng Xiong, Zhen Chen, Li Yu

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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  13. Fibroblast Growth Factor (FGF) Signaling Protects Against Acute Pancreatitis-Induced Damage by Modulating Inflammatory Responses.Medical science monitor : international medical journal of experimental and clinical research · 2020
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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

6 authors at 1 institution in 1 country.

Jun LiDepartment of Intensive Care Unit, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xiaofen BuDepartment of General Practice, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xuanlan ChenDepartment of Intensive Care Unit, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Peng XiongDepartment of Intensive Care Unit, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Zhen ChenDepartment of Emergency, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Li YuDepartment of Intensive Care Unit, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0000-0003-1209-4254
Central Hospital of Wuhan · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to investigate the predictive value of long non-coding RNA intersectin 1-2 (lnc-ITSN1-2) for severe acute pancreatitis (SAP) risk, and its correlation with disease severity and in-hospital mortality in SAP patients.

methodsPlasma samples from 60 SAP, 60 moderate-severe acute pancreatitis (MSAP) and 60 mild acute pancreatitis (MAP) patients were collected within 24 hours, and plasma samples from 60 age and gender-matched healthy controls (HCs) were collected when enrollment. Lnc-ITSN1-2 was detected by reverse transcription-quantitative polymerase chain reaction. In AP patients, disease severity was evaluated and in-hospital deaths were recorded.

resultsLnc-ITSN1-2 was increased in SAP patients compared with MSAP, MAP patients, and HCs, and it is well-discriminated SAP patients from MSAP patients (area under curve (AUC): 0.699, 95% confidence interval (CI): 0.605-0.792), MAP patients (AUC: 0.862, 95% CI: 0.798-0.926), and HCs (AUC: 0.958, 95% CI: 0.925-0.990). For disease severity, lnc-ITSN1-2 was positively correlated with Ranson's score, acute pathologic and chronic health evaluation (APACHE) II score, sequential organ failure assessment (SOFA) score, and C-reactive protein (CRP) in SAP patients, MSAP patients, and MAP patients; meanwhile, the correlation coefficients were highest in SAP patients. Furthermore, lnc-ITSN1-2 displayed a good predictive value for increased in-hospital mortality in SAP (AUC: 0.803, 95% CI: 0.673-0.933) and MSAP (AUC: 0.854, 95% CI: 0.752-0.956) patients, which was similar with several common prognostic factors (including Ranson's score, APACHE II score, SOFA score, and CRP).

conclusionLnc-ITSN1-2 might be a potential biomarker for discrimination of SAP to improve the prognosis of SAP patients.

Indexed as

AgedCase-Control StudiesChinaFemaleGene Expression RegulationGenetic MarkersHospital MortalityHumansMaleMiddle AgedPancreatitisRNA, Long NoncodingGenetic MarkersRNA, Long Noncodingdisease severityin-hospital mortalitylong non-coding RNA intersectin 1-2predictive factorsevere acute pancreatitis

Identifiers

PMID31880027
PMCPMC7246381
OpenAlexW2998106473

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.