Evidence map›Paper›PMID 34205170›Full record

ArticleCancers2021

Accurate Prognosis Prediction of Pancreatic Ductal Adenocarcinoma Using Integrated Clinico-Genomic Data of Endoscopic Ultrasound-Guided Fine Needle Biopsy.

Joo Kyung Park, Hyemin Kim, Dae-Soon Son, Nayoung K D Kim, Young Kyung Sung, Minseob Cho, Chung Lee, Dong Hyo Noh, Se-Hoon Lee, Kyu Taek Lee and 4 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
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

14 authors at 3 institutions in 1 country.

Joo Kyung ParkDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Hyemin KimDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Dae-Soon SonSchool of Big Data Science, Data Science Convergence Research Center, Hallym University, Chuncheon 24252, Korea.ORCID 0000-0002-5164-4274
Nayoung K D KimGeninus Inc., Seoul 05836, Korea.
Young Kyung SungDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Minseob ChoSchool of Big Data Science, Data Science Convergence Research Center, Hallym University, Chuncheon 24252, Korea.
Chung LeeGeninus Inc., Seoul 05836, Korea.
Dong Hyo NohDepartment of Internal Medicine, Eulji University Hospital, Daejeon 34584, Korea.
Se-Hoon LeeDivision of Hematology-Oncology, Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Kyu Taek LeeDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Jong Kyun LeeDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Kee-Taek JangDepartment of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Woong-Yang ParkSamsung Genome Institute, Samsung Medical Center, Seoul 06351, Korea.ORCID 0000-0003-4234-0380
Kwang Hyuck LeeDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Samsung Medical Center · KRHallym University · KRDaejeon Eulji Medical Center, Eulji University · KR

Funding

Dong-A ST noneKorea government (MSIT) 2019R1C1C1008646Korean Gastroenterology Fund for Future Development noneMinistry of Education 2017R1D1A1B03027859
6 · The paper itself

Abstract

The aim of this study was to investigate the clinical utility of minimal specimens acquired from endoscopic ultrasound-guided fine-needle biopsy (EUS-FNB) and perform targeted deep sequencing as a prognosis prediction tool for pancreatic ductal adenocarcinoma (PDAC). A total of 116 specimens with pathologically confirmed PDAC via EUS-FNB were tested using CancerSCAN

Indexed as

clinico-genomic modelendoscopic ultrasound-guided fine needle core biopsypancreatic ductal adenocarcinomaprognosis predictiontargeted deep sequencing

Identifiers

PMID34205170
PMCPMC8199936
OpenAlexW3165945404

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.