Evidence map›Paper›PMID 37637352›Full record

ArticleGastroenterology research and practice2023

A Clinic-Radiomics Model for Predicting the Incidence of Persistent Organ Failure in Patients with Acute Necrotizing Pancreatitis.

Nan Liu, Yidong Wan, Yifan Tong, Jie He, Shufeng Xu, Xi Hu, Chen Luo, Lei Xu, Feng Guo, Bo Shen and 1 more

Open access · goldAbstract read
In one paragraph

Article in Gastroenterology research and practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
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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

11 authors at 3 institutions in 1 country.

Nan LiuDepartment of Critical Care Medicine, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Yidong WanInstitute of Translational Medicine, Zhejiang University, Hangzhou, China.
Yifan TongCenter of Severe Pancreatitis, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Jie HeDepartment of Radiology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Shufeng XuDepartment of Radiology, People's Hospital of Quzhou, Quzhou, China.
Xi HuDepartment of Radiology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Chen LuoInstitute of Translational Medicine, Zhejiang University, Hangzhou, China.
Lei XuInstitute of Translational Medicine, Zhejiang University, Hangzhou, China.
Feng GuoDepartment of Critical Care Medicine, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0002-0478-7491
Bo ShenCenter of Severe Pancreatitis, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0003-0727-9748
Hong YuCenter of Severe Pancreatitis, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0001-5990-3720
Sir Run Run Shaw Hospital · CNZhejiang University · CNQuzhou City People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Persistent organ failure (POF) is the leading cause of death in patients with acute necrotizing pancreatitis (ANP). Although several risk factors have been identified, there remains a lack of efficient instruments to accurately predict the incidence of POF in ANP. Methods: Retrospectively, the clinical and imaging data of 178 patients with ANP were collected from our database, and the patients were divided into training ( Results: According to the 547 selected radiomics features, four models were derived from features. A clinic-radiomics model in the training and validation sets showed better predictive performance than pure radiomics and clinical models. The clinic-radiomics model was evaluated by the ratios of intervention and mechanical ventilation, intensive care unit (ICU) stays, and hospital stays. The results showed that the high-risk group had significantly higher intervention rates, ICU stays, and hospital stays than the low-risk group, with the confidence interval of 90% ( Conclusions: This clinic-radiomics model is a useful instrument for clinicians to evaluate the incidence of POF, facilitating patients' and their families' understanding of the ANP prognosis.

Identifiers

PMID37637352
PMCPMC10449595
OpenAlexW4385932267

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.