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Record W2333225854 · doi:10.3899/jrheum.151317

Soluble CD163: A Novel Biomarker with Diagnostic and Therapeutic Implications in Autoimmune Diseases

2016· letter· en· W2333225854 on OpenAlexvenueno aff
Dexi Zhou, Yaqin Wang, LU CHEN, Wen Zhang, Jiajie Luan

Bibliographic record

VenueThe Journal of Rheumatology · 2016
Typeletter
Languageen
FieldImmunology and Microbiology
TopicImmunodeficiency and Autoimmune Disorders
Canadian institutionsnot available
FundersNatural Science Foundation of Anhui Province
KeywordsMedicineCD163PolymyositisRheumatoid arthritisDermatomyositisImmunologyPathogenesisBiomarkerRheumatologyMacrophageInternal medicine

Abstract

fetched live from OpenAlex

To the Editor: Macrophage activation and function are significantly linked with the pathogenesis of a variety of autoimmune diseases, such as rheumatic diseases including rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE). However, the precise mechanisms involved in this correlation are still elusive. Noticeably, we recently read with great interest the article by Peng, et al 1 showing serum soluble CD163 (sCD163) levels, mainly secreted by monocyte/macrophage lineage, were significantly increased in the patients with polymyositis (PM) and dermatomyositis (DM) compared with healthy controls. Particularly, they highlighted the involvement of CD163+ macrophage infiltration in the muscle in the development of … Address correspondence to Associate Prof. Jiajie Luan, Department of Pharmacy in Yijishan Hospital of Wannan Medical College, Wuhu, Anhui Province, China 241001. E-mail: luanjiajie757{at}163.com

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)0.002
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.011
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0110.011
Insufficient payload (model declined to judge)0.0010.002

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 head0.013
GPT teacher head0.231
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 designNot applicable
Domainnot available
GenreCommentary

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

Citations14
Published2016
Admission routes1
Has abstractyes

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