Evidence map›Paper›PMID 37719773›Full record

ReviewCell insight2023

Arouse potential stemness: Intrinsic and acquired stem cell therapeutic strategies for advanced liver diseases.

Yisu Song, Zhengyang Lu, Wenzhi Shu, Ze Xiang, Zhengxin Wang, Xuyong Wei, Xiao Xu

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Cell insight, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Yisu SongDepartment of Hepatobiliary and Pancreatic Surgery Affiliated Hangzhou First People's Hospital Zhejiang University School of Medicine Hangzhou, Zhejiang, 310006, China.
Zhengyang LuDepartment of Hepatobiliary and Pancreatic Surgery Affiliated Hangzhou First People's Hospital Zhejiang University School of Medicine Hangzhou, Zhejiang, 310006, China.
Wenzhi ShuDepartment of Hepatobiliary and Pancreatic Surgery Affiliated Hangzhou First People's Hospital Zhejiang University School of Medicine Hangzhou, Zhejiang, 310006, China.
Ze XiangZhejiang University School of Medicine, Hangzhou, China.
Zhengxin WangDepartment of General Surgery, Huashan Hospital, Fudan University Shanghai, 200040, China.
Xuyong WeiDepartment of Hepatobiliary and Pancreatic Surgery Affiliated Hangzhou First People's Hospital Zhejiang University School of Medicine Hangzhou, Zhejiang, 310006, China.
Xiao XuZhejiang University School of Medicine, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver diseases are a major health issue, and prolonged liver injury always progresses. Advanced liver disorders impair liver regeneration. Millions of patients die yearly worldwide, even with the available treatments of liver transplantation and artificial liver support system. With its abundant cell resources and significant differentiative potential, stem cell therapy is a viable treatment for various disorders and offers hope to patients waiting for orthotopic liver transplantation. Considering such plight, stem cell therapeutic strategies deliver hope to the patients. Moreover, we conclude intrinsic and acquired perspectives based on stem cell sources. The properties and therapeutic uses of these stem cells' specific types or sources were then reviewed. Owing to the recent investigations of the above cells, a safe and effective therapy will emerge for advanced liver diseases soon.

Indexed as

AcquiredAdvanced liver diseasesIntrinsicStem cellTherapeutic strategy

Identifiers

PMID37719773
PMCPMC10502372

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.