Comparison of Mean Platelet Volume (MPV) in Patients with Psoriasis and Healthy Individuals
Bibliographic record
Abstract
Background: Psoriasis is a chronic inflammatory skin condition affecting quality of life, with evidence suggesting a role for platelets in its pathogenesis. Mean Platelet Volume (MPV), a marker of platelet activation, may serve as a biomarker for systemic inflammation. This study aimed to compare MPV levels between psoriasis patients and healthy controls to assess its clinical utility. Methods: A comparative cross-sectional study was conducted at Imran Idrees Teaching Hospital, Sialkot, from October 25, 2023, to March 25, 2024, with 200 participants aged 20-60, selected via non-probability consecutive sampling. Exclusion criteria included recent surgery, obesity (BMI > 30), and cardiovascular disease. Participants were divided into psoriasis patients (n=31) and healthy controls (n=169). MPV was measured using a Swelab Lumi hematology analyzer, and data were analyzed using SPSS version 23.0, with t-tests for group comparisons (p<0.05). Results: A total of 200 participants were included in the study, of which 15.5% were diagnosed with psoriasis. The mean MPV was significantly higher in the psoriasis group (8.86 ± 1.42 fL) compared to controls (7.23 ± 0.57 fL), with a p-value of 0.00002. This elevation in MPV suggests a potential association between platelet activation and psoriasis-related inflammation. Conclusions: This study shows a significant difference in MPV levels between psoriasis patients and healthy controls, indicating a role for platelets in psoriasis pathogenesis. Elevated MPV may serve as a non-invasive biomarker for systemic inflammation. Further research is needed to validate its clinical utility in diagnosis and management.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".