Article in Pharmaceuticals (Basel, Switzerland), 2025. 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.
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
12 authors.
Xiao-Xuan CaiWarshel Institute for Computational Biology, School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China.ORCID 0009-0007-8842-0358
Hua-Li ZuoWarshel Institute for Computational Biology, School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China.ORCID 0000-0002-0359-2481
Jing LiWarshel Institute for Computational Biology, School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China.
Hsi-Yuan HuangWarshel Institute for Computational Biology, School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China.ORCID 0000-0001-8453-4939
Li-Ping LiWarshel Institute for Computational Biology, School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China.
Jie NiWarshel Institute for Computational Biology, School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China.
Pei-Sen WuSchool of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China.
Xiao-Yuan XuSchool of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China.
Dan ZhangLonggang Central Hospital of Shenzhen, Shenzhen 518116, China.
Yue-Yang XieWarshel Institute for Computational Biology, School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China.
Hsien-Da HuangWarshel Institute for Computational Biology, School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China.
Yang-Chi-Dung LinWarshel Institute for Computational Biology, School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China.ORCID 0000-0003-2436-4602
Funding
Guangdong S&T programme 2024A0505050001Guangdong S&T programme 2024A0505050002Guangdong Young Scholar Development Fund of Shenzhen Ganghong Group Co., Ltd. 2022E0035Shenzhen Fundamental Research Program JCYJ20210324121201004Shenzhen-Hong Kong Cooperation Zone for Technology and Innovation HZQB-KCZYB-2020056Shenzhen-Hong Kong Cooperation Zone for Technology and Innovation P2-2022-HDH-001-AShenzhen Science and Technology Program JCYJ20220530143615035the National Natural Science Foundation of China 32070674the Warshel Institute for Computational Biology funding from Shenzhen City and Longgang District LGKCSDPT2024001
6 · The paper itself
Abstract
PubMed holds no abstract for this paper.
Indexed as
glioblastoma (GBM)metabolismmiRNAtraditional Chinese medicinetranscriptomics
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.