Evaluation of serum lipid, lipoprotein, and apolipoprotein levels in psoriatic patients: a systematic review and meta-analysis of case-control studies
Bibliographic record
Abstract
Introduction: Psoriasis is a T cell-mediated inflammatory skin disease in which fatty acids may be a link between psoriasis and its comorbidity.Aim: The present meta-analysis aimed to evaluate lipid, lipoprotein, and apolipoprotein levels in the psoriatic patients compared with the control subjects.Material and methods: Four databases, including Web of Science, Scopus, PubMed, and Cochrane Library were searched until July 2017.All records analysed were case-control studies.The quality of the questionnaires was evaluated using the Newcastle-Ottawa Scale (NOS).A random-effects meta-analysis was done by Rev Man 5.3 using mean difference (MD) and 95% confidence intervals (CIs).Results: Out of 580 studies identified in four databases, 49 studies were included and analysed in this metaanalysis.The results showed that MD of total cholesterol, triglyceride, LDL, VLDL, HDL, Lp(a), Apo A1, and Apo B levels in the patients compared with the controls were (MD = 13.74 mg/dl; 95% CI: 7.72-19.75;p < 0.00001), (MD = 26.04mg/dl; 95% CI: 20.77-31.31;p < 0.00001), (MD = 11.41 mg/dl; 95% CI: 6.26-16.57;p < 0.0001), (MD = 4.82 mg/dl; 95% CI: 3.63-6.00;p < 0.00001), (MD = -2.78mg/dl; 95% CI: -4.53 --1.03; p < 0.002), (MD = 8.51 mg/dl; 95% CI: 4.86-12.17;p < 0.0001), (MD = -6.60 mg/dl; 95% CI: -13.96 -0.75; p < 0.08), and (MD = 9.70 mg/dl; 95% CI: 3.02-16.39;p < 0.004), respectively.Conclusions: This meta-analysis identified abnormality of serum lipid, lipoprotein, and apolipoprotein profiles in psoriatic patients compared with the controls as well as possibly a greater risk of atherosclerosis and cardiovascular (CV) accidents in the patients.
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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 | 0.018 | 0.037 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.022 | 0.039 |
| Bibliometrics | 0.008 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".