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Efficacy of folic acid therapy for the association between high serum vitamin B12 level with all cause mortality among hypertensive population: the CSPPT randomized clinical trial post-hoc analysis

2021· article· en· W4386660269 on OpenAlexaff
Tun Cao, Xiao Huang, Huazhang Wu, J. David Spence, Hongmei Yong, Xiaoshu Cheng, L S Liu, Xiping Xu

Bibliographic record

VenueEuropean Heart Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicFolate and B Vitamins Research
Canadian institutionsWestern University
FundersNational Key Research and Development Program of China
KeywordsMedicineVitamin B12Internal medicinePopulationEnalaprilPost-hoc analysisStroke (engine)Randomized controlled trialBlood pressureAngiotensin-converting enzymeEnvironmental health

Abstract

fetched live from OpenAlex

Abstract Background While higher vitamin B12 level was found to be co-related with mortality in various population, the effectiveness of folic acid therapy for this association remained unknown. Purpose 1: Explore the association between high B12 level and all cause mortality in hypertensive population. 2: To test the primary hypothesis that therapy with enalapril and folic acid is more effective in reducing all cause mortality than enalapril alone among targeted population. Methods Current study used post hoc analysis to examin data from the china stroke primary prevention trial (CSPPT), a randomized, double-blind, multi-center clinical trial. After excluded those lack of vitamin B12 data and with extreme B12 value, 20,204 participants (mean age 60 [SD. 8.54]; 59.16% male gender; total mean serum vitamin B12 level 410.51 [SD. 124.85] pg/ml) were included in present study.10,093 participants were treated with enalpril alone and 10,111 patients took the combine use of enalapril and folic acid. The primary outcome was all cause mortality, which collected based on hospital issued death certificate and investigation during follow up period. Results Over the medium follow-up time of 4.5 years, 308 death occurred in enalapril group and 295 death happened in enalapril-folic acid group. Differences were observed regarding sex, center, smoking & drinking status at baseline. In enalapril group, high vitamin B12 level presented positive linear association with all cause mortality and was found to be significantly differences (P=0.018). Whereas no association between high vitamin B12 level and all cause mortality were observed in enalapril and folic acid group. (P=0.448). KM curves and tertile analysis of vitamin B12 level also showed same finding. Sensitivity analysis were processed to ensure the accuracy of the study result. Conclusion The present study not only explored that higher vitamin B12 level will increase all cause mortality in hypertensive population, but also found that high vitamin B12 level loses its co-relationship with all cause mortality after folic acid therapy, which potentially reflected the benefits of long-term, low-dose folic acid supplementation. Funding Acknowledgement Type of funding sources: Public Institution(s). Main funding source(s): Key R&D Projects, Jiangxi National Key Research and Development Program Smoothing curveKM curve

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)0.004
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: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.189
GPT teacher head0.420
Teacher spread0.231 · 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 designMeta-analysis
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
Published2021
Admission routes1
Has abstractyes

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