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Record W2901505823 · doi:10.5114/ada.2018.77611

A systematic review and meta-analysis study of salivary and serum interleukin-8 levels in oral lichen planus

2018· review· en· W2901505823 on OpenAlexaboutno aff
Hamid Reza Mozaffari, Roohollah Sharifi, Seyedghasem Mirbahari, Sara Montazerian, Masoud Sadeghi, Sedigheh Rostami

Bibliographic record

VenueAdvances in Dermatology and Allergology · 2018
Typereview
Languageen
FieldDentistry
TopicOral Health Pathology and Treatment
Canadian institutionsnot available
FundersKermanshah University of Medical Sciences
KeywordsMedicineOral lichen planusDermatologyMeta-analysisPathology

Abstract

fetched live from OpenAlex

Introduction: Interleukin-8 (IL-8) is an important mediator of the host response to injury and inflammation that the clinical severity of oral lichen planus (OLP) is associated with elevated serum IL-8 levels. Aim: To evaluate serum and salivary IL-8 levels of the OLP patients compared with the healthy controls and measurement of IL-8 level in which sample is more valuable. Material and methods: Five databases including PubMed/Medline, Web of Science, Science Direct, Cochrane Library and Scopus were searched for the evaluation of serum and salivary IL-8 levels of the OLP patients compared with the healthy controls in the English abstract. The Newcastle-Ottawa Quality Assessment Scale (NOS) was used for checking the quality of the studies. A random-effect model was used for calculating the mean difference (MD) and 95% confidence intervals (CIs). Results: Nine studies were included in the meta-analysis. The pooled estimate showed a significant difference between two groups that the salivary IL-8 level in the OLP patients was higher than the healthy controls (MD = 766.32 pg/ ml, 95% CI: 394.90-1137.75; p < 0.0001) and also the serum IL-8 level in the OLP patients was higher than the healthy controls (MD = 8.38 pg/ml, 95% CI: 3.32-13.44; p = 0.001). Conclusions: The higher levels of IL-8 in saliva compared with serum suggest that measurement of this marker in saliva may be more useful than serum measurements for determining therapeutic and diagnostic aims.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.899
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0100.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.101
GPT teacher head0.435
Teacher spread0.334 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designMeta-analysis
Domainnot available
GenreReview

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".

Quick stats

Citations19
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueAdvances in Dermatology and AllergologySame topicOral Health Pathology and TreatmentFrench-language works237,207