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Rofecoxib is a COX-2-selective nonsteroidal anti-inflammatory drug (NSAID). It was marketed by Merck & Co. to treat osteoarthritis, rheumatoid arthritis, juvenile rheumatoid arthritis, acute pain conditions, migraine, and dysmenorrhea. Rofecoxib was approved in the United States by the Food and Drug Administration (FDA) in May 1999, and was marketed…
The analysis highlights Art and Measurement as prominent areas in the source structure around Rofecoxib.
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 Rofecoxib shows recurring relationship patterns in the source. For example, Rofecoxib → Alabama, Atlantic City, By March, Carol Ernst, Humeston, Humeston's, Merck, Merck's, New Jersey, On August, On November, Robert Ernst, Rogers, Texas, The, This, US Another extracted example is Rofecoxib → American, Canada, Canadian, COX-2, Despite, FDA, FDA Advisory Committee, Following, In, Merck, NSAIDs, The, The FDA. 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.
merck risk vioxx cardiovascular heart fda study nsaids cox-2 events data drug patients trial 2005 increased selective states studies market
TTTA extracted 106 structured relationships around Rofecoxib. Examples in this analysis include Rofecoxib → 3D model (JSmol) → Interactive image and Rofecoxib → ATC code → M01AH02 (WHO). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Rofecoxib | 3D model (JSmol) | Interactive image | 1.00 | infobox |
| Rofecoxib | ATC code | M01AH02 (WHO) | 1.00 | infobox |
| Rofecoxib | Bioavailability | 93% | 1.00 | infobox |
| Rofecoxib | CAS Number | 162011-90-7 Y | 1.00 | infobox |
| Rofecoxib | ChEBI | CHEBI:8887 Y | 1.00 | infobox |
| Rofecoxib | ChEMBL | ChEMBL122 Y | 1.00 | infobox |
| Rofecoxib | ChemSpider | 4911 Y | 1.00 | infobox |
| Rofecoxib | CompTox Dashboard (EPA) | DTXSID2023567 | 1.00 | infobox |
| Rofecoxib | DrugBank | DB00533 Y | 1.00 | infobox |
| Rofecoxib | ECHA InfoCard | 100.230.077 | 1.00 | infobox |
| Rofecoxib | Elimination half-life | 17 hours | 1.00 | infobox |
| Rofecoxib | Excretion | bile duct/kidney | 1.00 | infobox |
| Rofecoxib | Formula | C17H14O4S | 1.00 | infobox |
| Rofecoxib | IUPHAR/BPS | 2893 | 1.00 | infobox |
| Rofecoxib | KEGG | D00568 Y | 1.00 | infobox |
| Rofecoxib | Legal status | withdrawn worldwide | 1.00 | infobox |
| Rofecoxib | Metabolism | liver | 1.00 | infobox |
| Rofecoxib | Molar mass | 314.36 g·mol−1 | 1.00 | infobox |
| Rofecoxib | Pregnancy category | AU: C | 1.00 | infobox |
| Rofecoxib | Pronunciation | /ˌrɒfɪˈkɒksɪb/ | 1.00 | infobox |
| Rofecoxib | Protein binding | 87% | 1.00 | infobox |
| Rofecoxib | PubChem CID | 5090 | 1.00 | infobox |
| Rofecoxib | Routes of administration | By mouth & i.m | 1.00 | infobox |
| Rofecoxib | Trade names | Vioxx, Ceoxx, Ceeoxx, others | 1.00 | infobox |
| Rofecoxib | UNII | 0QTW8Z7MCR | 1.00 | infobox |
| Rofecoxib | is a | COX-2-selective nonsteroidal anti-inflammatory drug | 0.90 | text |
| Rofecoxib | is a | selective COX-2 inhibitor | 0.90 | text |
The concept neighborhoods around Rofecoxib bring nearby vocabulary together. In this analysis, examples include Risk, Cardiovascular and Fda. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Rofecoxib, one of the stronger structural bridges in this analysis connects Rofecoxib with Overview. 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 Rofecoxib to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Art & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Rofecoxib · EN edition · Analysis: TopicsToTalkAbout