Systematic review: andrographolide as a potential Anti-inflammatory treatment for psoriasis
Bibliographic record
Abstract
A chronic inflammatory skin condition called psoriasis affects 1-3% of people worldwide. It will lead to other psychological, endocrine, and cardiovascular issues. It mainly affects the elbows, knees, scalp, back, umbilicus, and lumbar regions and is distinguished by well-defined crimson plaques and thick silvery white scales. Topical corticosteroid cream has been the main therapy in treating inflammatory skin in psoriasis vulgaris until now. Nowadays, andrographolide is an active compound of Andrographis paniculate, or the name in Indonesia is Sambiloto, which has been reported as a potential anti-inflammatory. Therefore, this study aimed to systematically review the published efficacy of andrographolide as an anti-inflammatory in an in vivo study and synthesize the available data. This study was a literature review searched using PubMed/ Medline, Science Direct, and Cochrane up to September 2022. The following search terms were used: (andrographolide or Andrographis paniculate) AND (anti-inflammatory) AND (animal study or in vivo). The bias in the research using the Newcastle-Ottawa quality assessment score was rated as low risk, of some concern, or high risk. A total of six in vivo studies were included in our analysis. Methotrexate and biologic agents are used for the systemic treatment of psoriasis. Topical corticosteroid therapy remains the first line of topical therapy but has some side effects. Specific reporting of andrographolide as a potential anti-inflammatory in other inflammatory diseases is necessary to support the possible treatment for psoriasis. There still needs to be further studies regarding the use of andrographolide as a topical psoriasis treatment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.005 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".