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Record W2577106351

Адсорбционно-реологические свойства крови при подагрическом артрите

2014· article· ru· W2577106351 on OpenAlexaboutno aff
I. Iakubenko

Bibliographic record

VenueБоль. Суставы. Позвоночник · 2014
Typearticle
Languageru
FieldMedicine
TopicGout, Hyperuricemia, Uric Acid
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineArthritisInternal medicineHemorheologyGoutRheumatoid arthritisGastroenterologyLesionCardiologyPathologySurgery
DOInot available

Abstract

fetched live from OpenAlex

The aim of the study is to evaluate the clinical and pathogenetic value of the changes of adsorptive-rheological properties of blood serum (ARPB) in patients with different clinical forms of gouty arthritis. Eighty nine patients and 30 practically healthy people of the controlled group (mainly males) undergone interfacial tensiometry of blood. There were used computer equipment MPT2-Lauda, ADSA-Toronto and PAT2-Sinterface. intermitting type of arthritis has been observed in 63 % of cases and chronic one in 37 %, mild clinical course of articular syndrome was found in 19 % of cases, moderately severe course was observed in 51 % and severe in 30 %. There have been determined surface viscosity (SV), elasticity (SE), tension (ST), viscoelastic module (VE), relaxation time (RT), angulation and tensigram phase angle (PhA), angle of real viscoelasticity (ARVE) and integral angle of viscoelasticity (IAVE). Gouty arthritis is accompanied by the significant increase in parameters of blood serum RT on 26 % and IAVE is twice increased whereas SE decreases on 8 %, VE 26 %, ST 4 % and ARVE 11 % that is observed in 45, 39, 36, 48, 44 and 38 % of patients respectively. Gouty arthritis is associated with sexual dimorphism, depends on the form (SE, PhA, IAVE) and the severity of the course (SV, RT, ST) of the articular syndrome, osseous tophi presence (SV, RT, PhA, IAVE) and sonographic signs of articulations lesion. ARPB changes reflect the character of gouty arthritis course, some indices take part in pathogenetic construction of the disease and might have prognostic significance.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.002

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 head0.010
GPT teacher head0.245
Teacher spread0.235 · 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
Published2014
Admission routes1
Has abstractyes

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