ArticleDrug design, development and therapy2020
Erratum: A Network Pharmacology-Based Strategy for Predicting Active Ingredients and Potential Targets of LiuWei DiHuang Pill in Treating Type 2 Diabetes Mellitus [Corrigendum].
Article in Drug design, development and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Network pharmacology: a bright guiding light on the way to explore the personalized precise medication of traditional Chinese medicine.Chinese medicine · 2023Review
- Exploring the Potential Mechanism of Xiaokui Jiedu Decoction for Ulcerative Colitis Based on Network Pharmacology and Molecular Docking.Journal of healthcare engineering · 2021Article
Corrections and comments
- Erratum for
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
[This corrects the article DOI: 10.2147/DDDT.S216644.].
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.