Evidence map›Paper›PMID 38058810›Full record

ArticleAmerican journal of cancer research2023

Xiongzhi Wangpu, Jingkun Zhao, Chaoran Yu, Song Yu, Hongcheng Wang, Zhou Yuan, Xinyu Huang

Open access · greenAbstract read
In one paragraph

Article in American journal of cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

7 authors at 2 institutions in 1 country.

Xiongzhi WangpuDepartment of Hepatobiliary and Pancreatic Surgery, Shanghai 6th People's Hospital Affiliated to Shanghai Jiao Tong University, School of Medicine No. 600 Yishan Rd, Shanghai 200233, China.
Jingkun ZhaoDepartment of Gastrointestinal Surgery and Minimally Invasive Surgery, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine Shanghai 200001, China.
Chaoran YuDepartment of General Surgery, Shanghai 9th People's Hospital, Shanghai Jiao Tong University, School of Medicine Shanghai 200011, China.
Song YuDepartment of Hepatobiliary and Pancreatic Surgery, Shanghai 6th People's Hospital Affiliated to Shanghai Jiao Tong University, School of Medicine No. 600 Yishan Rd, Shanghai 200233, China.
Hongcheng WangDepartment of Hepatobiliary and Pancreatic Surgery, Shanghai 6th People's Hospital Affiliated to Shanghai Jiao Tong University, School of Medicine No. 600 Yishan Rd, Shanghai 200233, China.
Zhou YuanDepartment of Hepatobiliary and Pancreatic Surgery, Shanghai 6th People's Hospital Affiliated to Shanghai Jiao Tong University, School of Medicine No. 600 Yishan Rd, Shanghai 200233, China.
Xinyu HuangDepartment of Hepatobiliary and Pancreatic Surgery, Shanghai 6th People's Hospital Affiliated to Shanghai Jiao Tong University, School of Medicine No. 600 Yishan Rd, Shanghai 200233, China.
Shanghai Ninth People's Hospital · CNRuijin Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is a notoriously aggressive malignancy with a survival rate of merely 9%. The prognosis in patients with PDAC is relatively poor, particularly in patients with advanced distant metastases. However, the mechanisms of PDAC progression remain elusive. Circular RNAs (circRNAs) have been implicated in the development of various malignancies, including PDAC. Therefore, this study aimed to investigate how a novel circRNA,

Indexed as

CircATP13A1HMGA2miR-186miR-326PDAC

Identifiers

PMID38058810
PMCPMC10695776
OpenAlexW4389453111

What OpenQuestion holds

Textmetadata
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.