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Pellagra (česky také pelagra, lombardské či červené malomocenství) je systémové onemocnění vznikající na podkladě avitaminózy, tj. nedostatku vitaminu niacinu (angl.zkr. NIcotinic ACid vitamIN; rovněž známého jako vitamin B3 či kyselina nikotinová, dříve „vitamin PP“ – z angl. Pellagra Preventive factor) a bílkovin obsahujících aminokokyselinu tryptofan…
The analysis highlights Historie, Symptomy and Overview as prominent areas in the source structure around Pellagra.
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 Pellagra shows recurring relationship patterns in the source. For example, Pellagra → Běžná, Casalův, Jazyk, Jsou, Navíc, Neléčená, Později, Současně, Spodina, Trávicí, Tyto Another extracted example is Pellagra → Gasparem Casalem, Jižní Karolíně, Joseph Goldberger, Prakticky, Při, Souvislost, Středomoří, USA. 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.
niacinu niacin tzv jako stravě změny rovněž tryptofan nedostatku přičemž může nedostatkem pellagrou angl tvoří primární sekundární injekčně léčba roce
TTTA extracted 27 structured relationships around Pellagra. Examples in this analysis include Pellagra → MKN-10 → E5252. and Pellagra → related to Externí odkazy → Obrázky. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Pellagra | MKN-10 | E5252. | 1.00 | infobox |
| Pellagra | related to Externí odkazy | Obrázky | 0.60 | section |
| Pellagra | related to Externí odkazy | Wikimedia Commons | 0.60 | section |
| Pellagra | related to Historie | Gasparem Casalem | 0.60 | section |
| Pellagra | related to Historie | Středomoří | 0.60 | section |
| Pellagra | related to Historie | Prakticky | 0.60 | section |
| Pellagra | related to Historie | USA | 0.60 | section |
| Pellagra | related to Historie | Jižní Karolíně | 0.60 | section |
| Pellagra | related to Historie | Při | 0.60 | section |
| Pellagra | related to Historie | Joseph Goldberger | 0.60 | section |
| Pellagra | related to Historie | Souvislost | 0.60 | section |
| Pellagra | related to Prevence | Prevence | 0.60 | section |
The concept neighborhoods around Pellagra bring nearby vocabulary together. In this analysis, examples include Primární, Sekundární and Tryptofan. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Pellagra, one of the stronger structural bridges in this analysis connects Pellagra 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 Pellagra to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie, Symptomy & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Pellagra · CS edition · Analysis: TopicsToTalkAbout