The role of monocyte chemoattractant protein-1 (MCP-1) as an immunological marker for patients with leprosy: a systematic literature review
Bibliographic record
Abstract
Leprosy, a significant global health concern affecting primarily the peripheral nerves and integumentary system, is influenced by the host immune system’s response, affecting its pathology, disease progression, and reaction occurrence. MCP-1, integral to leprosy’s immunological processes, holds promise as a diagnostic tool and predictor of reaction occurrence. This systematic review aimed to investigate MCP-1’s involvement in leprosy. Literature search, employing specified MeSH keywords, covered databases such as PubMed, Scopus, ScienceDirect, and Wiley Online Library until September 30th, 2023, yielding seventeen relevant studies. Assessing each study’s quality with the Newcastle-Ottawa Scale (NOS) and investigating bias using the Risk of Bias Assessment tool for Non-randomized Studies (RoBANS), a narrative synthesis compiled findings. Seventeen distinct studies were included, each characterized by diverse designs, sample sizes, demographics, and outcome measures, highlighting MCP-1’s potential in diagnosing leprosy, differentiating it from control groups, and discerning leprosy types. Furthermore, MCP-1 shows promise in predicting leprosy reversal reactions. Although MCP-1 offers clinical benefits, including early diagnosis and type differentiation, further research with larger sample sizes and standardized methodologies is imperative to confirm its diagnostic utility fully.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".