ReviewPhenomics (Cham, Switzerland)2024
Investigation on Phenomics of Traditional Chinese Medicine from the Diabetes.
Review in Phenomics (Cham, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diabetic retinopathy and the risk of all-cause dementia, Alzheimer's disease, and vascular dementia: a systematic review and meta-analysis.Frontiers in medicine · 2026Pooled it
- Machine learning-assisted multi-aptamer encoding enables pattern-level discrimination of HbA1c in complex biological matrices.Mikrochimica acta · 2026Article
- Application of Traditional Chinese Medicines in Diabetes Mellitus: From Pathogenesis to Clinical Practice.Current pharmaceutical biotechnology · 2026Review
- Article
- Jiangtang Tiaozhi Formula Relieves HFD-Induced Obesity Related Type 2 Diabetes by Inhibiting the cGAS-STING Pathway.Journal of cellular and molecular medicine · 2025Article
- Mapping Global Research Landscapes of Acupuncture for Diabetes Mellitus: A 20-Year Bibliometric Study (2004-2024).Healthcare (Basel, Switzerland) · 2025Article
- Anwuligan promotes the transition of the hair follicle cycle via the Wnt/β-catenin signaling pathway.Frontiers in pharmacology · 2025Article
- Randomized trial and multi-omics, machine learning-based mechanistic exploration of daixie decoction granules in type 2 diabetes.Frontiers in pharmacology · 2025Article
- Targeting immune cellular populations and transcription factors: unraveling the therapeutic potential of JQF for NAFLD.Frontiers in immunology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With thousands of years of application history, traditional Chinese medicine (TCM) has unique advantages in the prevention of various chronic diseases, and in recent years, the development of TCM has presented a situation where opportunities and challenges coexist. Phenomics is an emerging area of life science research, which has numerous similarities to the cognitive perspective of TCM. Thus, how to carry out the interdisciplinary research between TCM and phenomics deserves in-depth discussion. Diabetes is one of the most common chronic non-communicable diseases around the world, and TCM plays an important role in all stages of diabetes treatment, but the molecular mechanisms are difficult to elucidate. Phenomics research can not only reveal the hidden scientific connotations of TCM, but also provide a bridge for the confluence and complementary between TCM and Western medicine. Facing the challenges of the TCM phenomics research, we suggest applying the State-target theory (STT) to overall plan relevant researches, namely, focusing on the disease development, change trends, and core targets of each stage, and to deepen the understanding of TCM disease phenotypes and the therapeutic mechanisms of herbal medicine. Supplementary Information: The online version contains supplementary material available at 10.1007/s43657-023-00146-6.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.