Evidence map›Paper›PMID 41868933›Full record

ArticleAmerican journal of translational research2026

Peng Hu, Jie Zhao, Zhi-Xiang Lu, Qi Wang, Xiao-Li Gao, Zheng-Zheng Li, Tong-Hua Yang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of translational research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Peng HuFaculty of Life Science and Technology, Kunming University of Science and Technology Kunming 650500, Yunnan, P. R. China.
Jie ZhaoDepartment of Hematology, The First People's Hospital of Yunnan Province, Affiliated Hospital of Kunming University of Science and Technology Kunming 650500, Yunnan, P. R. China.
Zhi-Xiang LuDepartment of Hematology, The First People's Hospital of Yunnan Province, Affiliated Hospital of Kunming University of Science and Technology Kunming 650500, Yunnan, P. R. China.
Qi WangDepartment of Hematology, The First People's Hospital of Yunnan Province, Affiliated Hospital of Kunming University of Science and Technology Kunming 650500, Yunnan, P. R. China.
Xiao-Li GaoDepartment of Hematology, The First People's Hospital of Yunnan Province, Affiliated Hospital of Kunming University of Science and Technology Kunming 650500, Yunnan, P. R. China.
Zheng-Zheng LiDepartment of Hematology, The First People's Hospital of Yunnan Province, Affiliated Hospital of Kunming University of Science and Technology Kunming 650500, Yunnan, P. R. China.
Tong-Hua YangFaculty of Life Science and Technology, Kunming University of Science and Technology Kunming 650500, Yunnan, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesRadix Aconiti Lateralis Preparata (RALP) and Coptidis Rhizoma (CR) demonstrated efficacy in mitigating malignant phenotypes across various tumors types. Therefore, this research aimed to assess the impact of RALP and CR on tumor burden in acute myelocytic leukemia (AML).

methods

resultsMonotherapy with either RALP or CR effectively reduced AML cell viability, with maximal inhibition observed at 100 µg/ml for 72 hours.

conclusionsAs traditional Chinese medicine, RALP and CR effectively alleviate AML tumor burden, and their combination demonstrates synergistic effects.

Indexed as

Acute myeloid leukemiaCoptidis Rhizomanetwork pharmacologyRadix Aconiti Lateralis Preparatatraditional Chinese medicine

Identifiers

PMID41868933
PMCPMC13000841

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.