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Record W2373217589

The relationship between high-sensitivity C-reactive protein and the progress of cerebral infarct

2006· article· en· W2373217589 on OpenAlexaboutno aff
Qiwen Tan

Bibliographic record

VenueChinese Remedies & Clinics · 2006
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineC-reactive proteinInternal medicineCerebral infarctionChemiluminescent immunoassayStroke (engine)Ischemic strokeCardiologyGastroenterologyImmunoassayIschemiaImmunologyInflammationAntibody
DOInot available

Abstract

fetched live from OpenAlex

Objective To study the relationship between high sensitive C-reactive protein (hs-CRP) and the progress of cerebral infarct. Methods The levels of hs-CRP were measured in 24 hours and seven days after using chemiluminescence immunoassay in the patients of acute ischemic stroke who were diagnosed by CT or MRI. The disease progress were valued by Canadian neurological scale in 48 hours after cerebral ischemic stroke.The patients were divided into progressing group and no-progressing group. Result The serum levels of hs-CRP in the progressing group were significantly higher than that in the no-progressing group(P0.01). The serum levels of hs-CRP in 24 hours were significantly higher than that after 7 days(P0.01). Conclusion The level of hs-CRP is closely associated with the degree of the neurological damage caused by ischemic stroke. It can provide useful information for cerebral infarct.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.300
Teacher spread0.283 · 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 designObservational
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
Published2006
Admission routes1
Has abstractyes

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