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Risk factors for ischemic stroke in China: a case-control study

2024· preprint· en· W4395030771 on OpenAlexaff
Yang Xu, Eng Hwa Wong, Rusli Bin Nordin, Abdul Kareem Meera Mohaideen, Benjamin Samraj Prakash Earnest, Wong Yin How, Le Huahui

Bibliographic record

VenueF1000Research · 2024
Typepreprint
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsImpact
Fundersnot available
KeywordsOpen peer reviewPlant biologyStroke (engine)MedicineIschemic strokeChinaPhysiologyNeuroscienceBiologyInternal medicineIschemiaHistoryEngineering

Abstract

fetched live from OpenAlex

<ns3:p>Background Stroke is a primary cause of disability and death in adults worldwide. This study aimed to determine whether uric acid (UA), total bilirubin (TBIL), serum creatinine (Scr), homocysteine (Hcy), platelet large cell ratio (P-LCR), mean platelet volume (MPV), red blood cell volume distribution width (RDW), and common carotid artery intima-media thickness (CCA-IMT) were risk factors for ischemic stroke and whether there were sex differences in their associations. Methods This was a case-control study, and all data were collected from the medical records at Fuzhou First People’s Hospital of Jiangxi Province, China. The case group consisted of 400 patients treated for ischemic stroke at the Neurology Department, Fuzhou First People’s Hospital from January 2017 to June 2023. The control group included 200 patients with non-ischemic stroke in the same period and at the same hospital. In this study, clinical history, physical examination, and biochemical indices such as UA, TBIL, Scr, Hcy, P-LCR, MPV, and RDW were obtained from the patients’ medical records. Craniocerebral imaging was performed using magnetic resonance imaging (MRI) or computerized tomography (CT). CCA-IMT was measured using ultrasonography of the carotid arteries. Results In the multivariate binary logistic regression analysis, Hcy, FBS, right CCA-IMT and Hypertension were associated with ischemic stroke (p&lt;0.001). The odds of ischemic stroke increased with Hcy (adjusted OR=1.217, 95% CI=1.129-1.311, p&lt;0.001), fasting blood sugar (FBS) (adjusted OR=1.313, 95%CI=1.169-1.475, p&lt;0.001), and right CCA-IMT (adjusted OR=45.273, 95%CI=6.693-306.232, p&lt;0.001). Hypertensive persons had a higher possibility of ischemic stroke than persons without hypertension (adjusted OR=3.161, 95%CI=2.086-4.790, p&lt;0.001). Conclusions Hcy, FBS, right CCA-IMT, and hypertension are independent risk factors for ischemic stroke in China. There was no association between TBIL, Scr, P-LCR, MPV, RDW, and the incidence of ischemic stroke. There was no sex difference in the association between Hcy, TBIL, Scr, P-LCR, and the incidence of ischemic stroke.</ns3:p>

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.307
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.003
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0000.000

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 head0.036
GPT teacher head0.362
Teacher spread0.326 · 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 teacher head, not a consensus.

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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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