Evidence map›Paper›PMID 33842589›Full record

ArticleAnnals of translational medicine2021

Cardiac indicator CK-MB might be a predictive marker for severity and organ failure development of acute pancreatitis.

Bing Zhao, Silei Sun, Yihui Wang, Huihui Zhu, Tongtian Ni, Xing Qi, Lili Xu, Yuming Wang, Yi Yao, Li Ma and 9 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 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

19 authors at 3 institutions in 1 country.

Bing ZhaoDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Silei SunDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yihui WangDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Huihui ZhuDepartment of Surgical Intensive Care Unit, Shanghai Tongji Hospital, Shanghai, China.
Tongtian NiDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xing QiDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Lili XuDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yuming WangDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yi YaoDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Li MaDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ying ChenDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jun HuangShanghai Key Laboratory of Hypertension, Department of Hypertension, Ruijin Hospital and Shanghai Institute of Hypertension, Shanghai JiaoTong University School of Medicine, Shanghai, China.
Weijun ZhouDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhitao YangDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Huiqiu ShengDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hongping QuDepartment of Intensive Care Unit, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Erzhen ChenDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jian LiClinical Research Center, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Enqiang MaoDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shanghai Jiao Tong University · CNRuijin Hospital · CNTongji Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prediction of severe acute pancreatitis (SAP) is the key to providing timely and targeted intensive care for acute pancreatitis (AP). The heart is one of multiple organs involved in the early stage of SAP, but the predictive ability of cardiac dysfunction for SAP remains elusive. We sought to determine if the serum levels of three cardiac indicators (CI) including N-terminal pro-brain natriuretic peptide (NT-proBNP), cardiac troponin I (cTNI), and creatine kinase myocardial band (CK-MB) at admission could predict the occurrence of SAP and the development of related organ failure (OF).

methodsA retrospective, single-center cohort study was conducted on the files of patients presenting to the emergency intensive care unit and medical ward of a regional hospital in Shanghai. Patients diagnosed as having AP and who met the 2012 Atlanta guideline were admitted within 48 hours after disease onset.

resultsOf the 670 AP patients screened, 238 were enrolled into the study and divided into mild acute pancreatitis (MAP) (n=59), moderate severe acute pancreatitis (MSAP) (n=123), and SAP (n=56) groups. No significant difference was found in baseline age, gender, duration from disease onset to admission, comorbidity, or substance abuse. As the levels of three CIs were significantly higher in the SAP group than in the MAP and MSAP groups, the enrolled patients were regrouped into non-SAP and SAP groups for predictive evaluation. Multivariate analysis and nomogram modelling showed that CK-MB, but not cTNI or NT-proBNP predicted the occurrence of SAP [area under curve (AUC) =0.805, confidence interval (CI): 0.794-0.905]. Specifically, 89 patients with OF (Modified Marshall score ≥2) upon admission were selected and CK-MB was shown to predict (AUC =0.805, CI: 0.794-0.905) persistent OF (n=48, duration of OF >48 hours) compared to transient organ failure (TOF) (n=41, duration of OF <48 hours).

conclusionsCIs including NT-proBNP, cTNI, and CK-MB were elevated in the early stage of AP. CK-MB might be used as an efficient predictive biomarker for SAP occurrence and OF development at admission.

Indexed as

biomarkercardiac indicatorcreatine kinase-MBpredictionSevere acute pancreatitis (SAP)severity

Identifiers

PMID33842589
PMCPMC8033390
OpenAlexW3134673699

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.