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Record W4362697966 · doi:10.1177/1721727x231160361

The case-control study on relationship between the serum concentration of IL-7 and the pathogenesis of psoriasis: ampere systematic review and meta-Analysis

2023· article· en· W4362697966 on OpenAlexaboutno aff
Jiandong Liu, Linxi Zeng, Xin Huang, Lu Liu, Nana Guo, Jinfang Zhang, Guoqiang Zhang

Bibliographic record

VenueEuropean Journal of Inflammation · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsnot available
Fundersnot available
KeywordsMeta-analysisPathogenesisInternal medicinePsoriasisMedicineGastroenterologyStrictly standardized mean differenceSignificant differenceImmunology

Abstract

fetched live from OpenAlex

Objective To explore the relationship between the serum concentration of IL-17 and the pathogenesis of psoriasis. Methods ampere database was established through literature search, and meta-analysis was used to evaluate the effect indicator of the included literatures. Results 5 articles were included in the study, and the quality evaluation score was 6–7 points by the Newcastle-Ottawa Scale (NOS) criteria. There was heterogeneity in the standardized mean difference (SMD) between the two groups (I 2 = 98.63%). The random effect model analysis showed that the combined SMD = 2.11, 95%CI (0.79, 3.43), the effect size between studies was statistically significant (z = 3.13, p = 0.00). Conclusion There was a statistical difference in serum IL-17 concentration between the case group and the control group. The serum concentration of IL-17 in the case group was higher than that in the control group.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.017
metaresearch head score (Gemma)0.040
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.040
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0170.030
Bibliometrics0.0060.006
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.049
GPT teacher head0.267
Teacher spread0.218 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreEmpirical

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

Citations0
Published2023
Admission routes1
Has abstractyes

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