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Record W3149912784 · doi:10.34119/bjhrv4n2-114

Níveis séricos da IL-13 na esclerose sistêmica: uma revisão sistemática com meta-análise / Serum levels of IL-13 in systemic sclerosis: a systematic review with meta-analysis

2021· review· pt· W3149912784 on OpenAlexaboutno aff
Lílian David de Azevedo Valadares, Maria Andreza Bezerra Correia, Anderson Rodrigues de Almeida, Eudes Gustavo Constantino Cunha, Moacyr Jesus Barreto de Melo Rêgo, Michelly Cristiny Pereira, Andréa Tavares Dantas, Maíra Galdino da Rocha Pitta, Ângela Luzia Branco Pinto Duarte

Bibliographic record

VenueBrazilian Journal of Health Review · 2021
Typereview
Languagept
FieldMedicine
TopicSystemic Sclerosis and Related Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMeta-analysisSystematic reviewMEDLINEInternal medicineChemistry

Abstract

fetched live from OpenAlex

A interleucina-13 (IL-13) sérica foi investigada na esclerose sistêmica (ES) por meio de uma meta-análise para avaliar a possível diferença nos níveis em pacientes com a doença e pessoas saudáveis. As buscas foram realizadas nas bases de dados Pubmed, ScienceDirect, Cochrane Library, LILACS e Scopus para estudos do tipo caso-controle pertinentes utilizando os descritores. Os níveis séricos dos pacientes com ES em relação aos controles saudáveis foram plotados usando o software Review Manager 5.3. A avaliação da qualidade de cada estudo elegível foi conduzida na Escala de Newcastle-Ottawa (NOS). Quatro estudos de caso-controle foram selecionados para esta meta-análise e continham um total de 120 pacientes com ES e 84 controles saudáveis. Nossos resultados demonstram níveis séricos elevados da IL-13 em pacientes com ES, com um agrupamento médio de 0,70 ng/ml (p=0,00001) (IC 95%: -0,42 a -0,99, p=0,6). A IL-13 está aumentada no soro de pacientes com ES em comparação com os controles saudáveis e pode ser útil como possível biomarcador da doença.

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)0.045
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.169
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0450.008
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.1120.041
Bibliometrics0.0030.014
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0030.000
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.202
GPT teacher head0.373
Teacher spread0.171 · 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; both teacher heads agree on what is shown here.

Study designSystematic review
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

Citations1
Published2021
Admission routes1
Has abstractyes

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