Evidence map›Paper›PMID 33246424›Full record

ArticleBMC cancer2020

Risk factors and socio-economic burden in pancreatic ductal adenocarcinoma operation: a machine learning based analysis.

Yijue Zhang, Sibo Zhu, Zhiqing Yuan, Qiwei Li, Ruifeng Ding, Xunxia Bao, Timing Zhen, Zhiliang Fu, Hailong Fu, Kaichen Xing and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 18% 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, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
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  3. Review
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  5. Article
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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

12 authors at 5 institutions in 1 country.

Yijue ZhangDepartment of Anesthesiology, South Campus, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Sibo ZhuSchool of Life Sciences, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0003-4800-8987
Zhiqing YuanDepartment of General Surgery, South Campus, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Qiwei LiDepartment of General Surgery, South Campus, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Ruifeng DingSchool of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Xunxia BaoCinoasia Institute, Shanghai, China.ORCID https://orcid.org/0000-0002-6085-7319
Timing ZhenCinoasia Institute, Shanghai, China.
Zhiliang FuCinoasia Institute, Shanghai, China.
Hailong FuDepartment of Anesthesiology, Changzheng Hospital, Second Military Medical University, No.415 Fengyang Road, Shanghai, 200003, China.
Kaichen XingCinoasia Institute, Shanghai, China.
Hongbin YuanDepartment of Anesthesiology, Changzheng Hospital, Second Military Medical University, No.415 Fengyang Road, Shanghai, 200003, China. jfjczyy@aliyun.com.
Tao ChenDepartment of Anesthesiology, South Campus, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China. dr_chentao78@163.com.ORCID https://orcid.org/0000-0002-1797-0359
Renji Hospital · CNSecond Military Medical University · CNFudan University · CNShanghai Jiao Tong University · CNUniversity of Shanghai for Science and Technology · CN

Funding

Protective behavioral strategies and mental health: Reducing alcohol-related riskR21AA020104 · NIAAA · LOYOLA MARYMOUNT UNIVERSITY · PI LABRIE, JOSEPH W. · 2010 to 2011
$367k
NIAAA NIH HHS R21 AA020104
6 · The paper itself

Abstract

backgroundSurgical resection is the major way to cure pancreatic ductal adenocarcinoma (PDAC). However, this operation is complex, and the peri-operative risk is high, making patients more likely to be admitted to the intensive care unit (ICU). Therefore, establishing a risk model that predicts admission to ICU is meaningful in preventing patients from post-operation deterioration and potentially reducing socio-economic burden.

methodsWe retrospectively collected 120 clinical features from 1242 PDAC patients, including demographic data, pre-operative and intra-operative blood tests, in-hospital duration, and ICU status. Machine learning pipelines, including Supporting Vector Machine (SVM), Logistic Regression, and Lasso Regression, were employed to choose an optimal model in predicting ICU admission. Ordinary least-squares regression (OLS) and Lasso Regression were adopted in the correlation analysis of post-operative bleeding, total in-hospital duration, and discharge costs.

resultsSVM model achieved higher performance than the other two models, resulted in an AU-ROC of 0.80. The features, such as age, duration of operation, monocyte count, and intra-operative partial arterial pressure of oxygen (PaO

conclusionsWe observed that several new indicators such as DEX, monocyte count, basophil percentage, and intra-operative PaO

Indexed as

AdenocarcinomaCarcinoma, Pancreatic DuctalFemaleHumansMachine LearningMaleMiddle AgedRetrospective StudiesRisk FactorsSocioeconomic FactorsIntensive care unitMachine learningPancreatic adenocarcinomaPeri-operativeRisk predictionSocio-economic burden

Identifiers

PMID33246424
PMCPMC7694304
OpenAlexW3107439287

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.