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Record W4311286854

Diagnostic value of plasma D-dimer and serum lipoprotein phospholipase A2 in patients with cerebral small vessel disease and their association with severity of the disease.

2022· article· en· W4311286854 on OpenAlexaboutno aff
Yu Kong, Guangyao Lin, Mingguang Yan, Jingjing Wang, Yunyi Dai

Bibliographic record

VenuePubMed · 2022
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsInternal medicineReceiver operating characteristicGastroenterologyLipoprotein-associated phospholipase A2MedicineDiseasePhospholipase A2LipoproteinCognitionCognitive impairmentPsychiatryEnzymeCholesterolChemistryBiochemistry
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine the diagnostic value of plasma D-dimer (DD) and serum lipoprotein phospholipase A2 (Lp-PLA2) in patients with cerebral small vessel disease (CSVD) and their association with severity of the disease. METHODS: In this retrospective analysis, 84 patients with CSVD treated in Shangqiu First People's Hospital from February 2020 to November 2021 were included in the study group, and 75 healthy individuals were assigned into the control group. The DD and Lp-PLA2 levels in the two groups were compared, and the diagnostic value of the two in CSVD was evaluated via receiver operating characteristic (ROC) curves. Patients were assigned to a mild group or a severe group based on Fazekas scale scores. Then, the two groups were compared in terms of the DD and Lp-PLA2 levels, and the association of the two with the severity of CSVD was determined through ROC curves. With the Montreal cognitive assessment (MoCA) scale, the patients were assigned to a cognitive impairment group or a non-cognitive impairment group. Then the two groups were compared in terms of the DD and Lp-PLA2 levels, and the association of the two with the cognitive function of CSVD patients was also determined by ROC curves. RESULTS: The research group showed higher DD and Lp-PLA2 levels than the control group; the severe group showed higher DD and Lp-PLA2 levels than the mild group; the cognitive impairment group showed higher DD and Lp-PLA2 levels than the non-cognitive impairment group (all P < 0.001). The areas under the curves (AUCs) of DD and Lp-PLA2 in CSVD diagnosis were 0.902 and 0.907, respectively; the AUCs of DD and Lp-PLA2 in CSVD severity determination were 0.747 and 0.704, respectively; the AUCs of DD and Lp-PLA2 in cognitive impairment diagnosis were 0.736 and 0.725, respectively. CONCLUSION: Plasma DD and Lp-PLA2 possess good diagnostic value in patients with CSVD, and also has certain clinical value in diagnosing patients' severity and cognitive impairment.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.009
GPT teacher head0.162
Teacher spread0.153 · 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

Citations2
Published2022
Admission routes1
Has abstractyes

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