Evidence map›Paper›PMID 37275516›Full record

ArticleiScience2023

Hai-Chao Zhao, Chang-Zhou Chen, Yan-Zhang Tian, Huang-Qin Song, Xiao-Xiao Wang, Yan-Jun Li, Jie-Feng He, Hao-Liang Zhao

Open access · goldAbstract read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. CD168 Identifies Proliferating Pancreatic Islet Cells in Murine and Human.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Review
  3. Review
  4. Article
  5. Proteo-genomic characterization of cirrhosis-associated liver cancers reveals potential subtypes and therapeutic targets.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. 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

8 authors at 4 institutions in 1 country.

Hai-Chao ZhaoThird Hospital of Shanxi Medical University, Shanxi Academy of Medical Sciences, Taiyuan 030032, China.
Chang-Zhou ChenDepartment of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Yan-Zhang TianShanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Taiyuan 030032, China.
Huang-Qin SongThird Hospital of Shanxi Medical University, Shanxi Academy of Medical Sciences, Taiyuan 030032, China.
Xiao-Xiao WangThird Hospital of Shanxi Medical University, Shanxi Academy of Medical Sciences, Taiyuan 030032, China.
Yan-Jun LiShanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Taiyuan 030032, China.
Jie-Feng HeThird Hospital of Shanxi Medical University, Shanxi Academy of Medical Sciences, Taiyuan 030032, China.
Hao-Liang ZhaoThird Hospital of Shanxi Medical University, Shanxi Academy of Medical Sciences, Taiyuan 030032, China.
Shanxi Academy of Medical Sciences · CNShanxi Medical University · CNFudan University · CNZhongshan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver cancer stem-like cells (LCSCs) are the main cause of heterogeneity and poor prognosis in hepatocellular carcinoma (HCC). In this study, we aimed to explore the origin of LCSCs and the role of the TOP2A/β-catenin/YAP1 axis in tumor stemness and progression. Using single-cell RNA-seq analysis, we identified

Indexed as

CancerMolecular interactionSpecialized functions of cellsTranscriptomics

Identifiers

PMID37275516
PMCPMC10238939
OpenAlexW4376273763

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.