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Record W1594588311

Lack of association of CYP11B2-344C/T polymorphism with essential hypertension: a meta-analysis.

2015· article· en· W1594588311 on OpenAlexaboutno aff
Jianfei Chen, Jun Jing, Tan H, Minbao Song, Shiyong Yu, Lan Huang

Bibliographic record

VenuePubMed · 2015
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmacogenetics and Drug Metabolism
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMeta-analysisPolymorphism (computer science)Essential hypertensionInternal medicineAldosterone synthaseGenetic modelGenotypeGeneticsBlood pressureGeneBiology
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: A meta-analysis was carried out to evaluate the correlation between CYP11B2-344C/T polymorphism and essential hypertension susceptibility. METHODS: By retrieving relevant databases and collecting domestic and international literatures about the correlation between CYP11B2-344C/T polymorphism and essential hypertension, the quality of literature were evaluated according to NEWCASTLE-OTTAWA case-control study quality rating scale (NOS). RevMan 5.0 was used to select the best genetic model, analysis the heterogeneity, calculate combined OR and the 95% CI. RESULTS: 8532 subjects were included in this study. Compared with the control group, the OR (95% CI) values of dominant model, recessive model, and additive model were 1.01 (95% CI: 0.81~1.25), 1.03 (95% CI: 0.83~1.19) and 1.10 (95% CI: 0.93-1.29). CONCLUSION: There is no evidence to confirm that CYP11B2 (-344C/T) polymorphism is associated with susceptibility of essential hypertension.

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)0.016
metaresearch head score (Gemma)0.026
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: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.026
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0100.040
Bibliometrics0.0040.005
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.365
GPT teacher head0.413
Teacher spread0.048 · 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".

Quick stats

Citations10
Published2015
Admission routes1
Has abstractyes

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