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Phenformin is an antidiabetic drug from the biguanide class. It was marketed as DBI by Ciba-Geigy, but was withdrawn from most markets in the late 1970s due to a high risk of lactic acidosis, which was fatal in 50% of cases.
The analysis highlights Research and Products as prominent areas in the source structure around Phenformin.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Phenformin shows recurring relationship patterns in the source. For example, Phenformin → As, Brazil, But, By October, China, Chinese, Ciba-Geigy Corp, Drug Administration, Endocrinology, FDA, Food, Greece, Group, In, In Hong Kong, Italy, July, May, Metabolism Advisory Committee, November Another extracted example is Phenformin → By, It, NADH, SARS-CoV-2, Syrian, These, Using. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
drug lactic acidosis metformin 50 cases oral 15 fda plasma effects antiviral activity administration studies may patients taking citation needed
TTTA extracted 62 structured relationships around Phenformin. Examples in this analysis include Phenformin → 3D model (JSmol) → Interactive image and Phenformin → AHFS/Drugs.com → International Drug Names. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Phenformin | 3D model (JSmol) | Interactive image | 1.00 | infobox |
| Phenformin | AHFS/Drugs.com | International Drug Names | 1.00 | infobox |
| Phenformin | ATC code | A10BA01 (WHO) | 1.00 | infobox |
| Phenformin | CAS Number | 114-86-3 Y | 1.00 | infobox |
| Phenformin | ChEBI | CHEBI:8064 N | 1.00 | infobox |
| Phenformin | ChEMBL | ChEMBL170988 Y | 1.00 | infobox |
| Phenformin | ChemSpider | 7953 Y | 1.00 | infobox |
| Phenformin | CompTox Dashboard (EPA) | DTXSID1023449 | 1.00 | infobox |
| Phenformin | DrugBank | DB00914 Y | 1.00 | infobox |
| Phenformin | ECHA InfoCard | 100.003.689 | 1.00 | infobox |
| Phenformin | Formula | C10H15N5 | 1.00 | infobox |
| Phenformin | KEGG | D08351 Y | 1.00 | infobox |
| Phenformin | Melting point | 175 to 178 °C (347 to 352 °F) | 1.00 | infobox |
| Phenformin | Molar mass | 205.265 g·mol−1 | 1.00 | infobox |
| Phenformin | PubChem CID | 8249 | 1.00 | infobox |
| Phenformin | Routes of administration | Oral | 1.00 | infobox |
| Phenformin | UNII | DD5K7529CE | 1.00 | infobox |
| Phenformin | is a | antidiabetic drug from the biguanide class | 0.90 | text |
The concept neighborhoods around Phenformin bring nearby vocabulary together. In this analysis, examples include Metformin, Lactic and Administration. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Phenformin, one of the stronger structural bridges in this analysis connects Phenformin with Antiviral activity. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Phenformin to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Research & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Phenformin · EN edition · Analysis: TopicsToTalkAbout