Evidence map›Paper›PMID 34796175›Full record

ArticleFrontiers in cell and developmental biology2021

An Active Fraction of

Feiling Song, Sihan Wang, Xu Pang, Zeng Fan, Jie Zhang, Xiaojuan Chen, Lijuan He, Baiping Ma, Xuetao Pei, Yanhua Li

Abstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2021. 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
–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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

10 authors.

Feiling SongExperimental Hematology and Biochemistry Lab, Beijing Institute of Radiation Medicine, Beijing, China.
Sihan WangStem Cells and Regenerative Medicine Lab, Institute of Health Service and Transfusion Medicine, Beijing, China.
Xu PangDepartment of Pharmaceutical Sciences, Beijing Institute of Radiation Medicine, Beijing, China.
Zeng FanStem Cells and Regenerative Medicine Lab, Institute of Health Service and Transfusion Medicine, Beijing, China.
Jie ZhangDepartment of Pharmaceutical Sciences, Beijing Institute of Radiation Medicine, Beijing, China.
Xiaojuan ChenDepartment of Pharmaceutical Sciences, Beijing Institute of Radiation Medicine, Beijing, China.
Lijuan HeStem Cells and Regenerative Medicine Lab, Institute of Health Service and Transfusion Medicine, Beijing, China.
Baiping MaDepartment of Pharmaceutical Sciences, Beijing Institute of Radiation Medicine, Beijing, China.
Xuetao PeiStem Cells and Regenerative Medicine Lab, Institute of Health Service and Transfusion Medicine, Beijing, China.
Yanhua LiExperimental Hematology and Biochemistry Lab, Beijing Institute of Radiation Medicine, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite significant scientific advances toward the development of safe and effective radiation countermeasures, no drug has been approved for use in the clinic for prevention or treatment of radiation-induced acute gastrointestinal syndrome (AGS). Thus, there is an urgent need to develop potential drugs to accelerate the repair of injured intestinal tissue. In this study, we investigated that whether some fractions of Traditional Chinese Medicine (TCM) have the ability to regulate intestinal crypt cell proliferation and promotes crypt regeneration after radiation. By screening the different supplements from a TCM library, we found that an active fraction of the rhizomes of

Indexed as

active fractions of Trillium tschonoskiiintestinal epitheliumintestinal organoidradiationregeneration

Identifiers

PMID34796175
PMCPMC8593212

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.