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Record W4323665892 · doi:10.3389/fphar.2023.1122564

Efficacy and safety of anticoagulation in atrial fibrillation patients with intracranial hemorrhage: A systematic review and meta-analysis

2023· review· en· W4323665892 on OpenAlexaboutno aff
Qiang Zhou, Xiang Liu, Xian Yang, Xiaohui Huang, Yanzi Wu, Yingying Tao, Meng Wei

Bibliographic record

VenueFrontiers in Pharmacology · 2023
Typereview
Languageen
FieldMedicine
TopicIntracerebral and Subarachnoid Hemorrhage Research
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsAtrial fibrillationMedicineMeta-analysisIntracranial bleedingCardiologyIntensive care medicineInternal medicinePharmacology

Abstract

fetched live from OpenAlex

Background: The benefits and risks of starting anticoagulation therapy, such as direct oral anticoagulations (DOACs) or warfarin, in atrial fibrillation (AF) patients with a history of intracranial hemorrhage (ICH) remain controversial. We performed a systematic review and meta-analysis to compare the safety and efficacy of starting oral anticoagulation (OAC) and non-oral anticoagulation in these patients. Methods: PubMed, Cochrane Library, and Embase were searched from inception to 01 May 2022 for randomized controlled trials and cohort studies, reporting effectiveness and safety outcomes for anticoagulation therapy in atrial fibrillation patients with intracranial hemorrhage. The Newcastle-Ottawa Scale (NOS) and the Cochrane Collaboration tool were used to evaluate bias risks for all randomized controlled trials (RCTs) and cohort studies. An effects model was applied to calculate adjusted hazard ratios (aHRs) for randomized controlled trials and cohort studies. Results: We analyzed data from two randomized controlled trials (304 patients) and seven Cohort studies (17,477 patients). Compared to non-oral anticoagulation, starting oral anticoagulation therapy reduced the risk of Ischemic Stroke/Systemic Embolism (SE) (aHR: 0.64, 95% CI: 0.55–0.57) and all-cause death (aHR: 0.53, 95% CI: 0.35–0.80) in atrial fibrillation patients and a prior history intracranial hemorrhage. Starting oral anticoagulation therapy did not increase the risk of recurrent intracranial hemorrhage (aHR: 1.07, 95% CI: 0.66–1.74), but increased the risk of major bleeding (aHR: 1.38, 95% CI: 1.00–1.91) than no oral anticoagulation therapy. The DOACs had a lower risk of Ischemic Stroke/SE (aHR: 0.84, 95% CI: 0.70–1.00), recurrent intracranial hemorrhage (aHR: 0.63, 95% CI: 0.49–0.82), and all-cause death (aHR: 0.65, 95% CI: 0.48–0.88) compared to warfarin. According to subgroup analyses, starting oral anticoagulation therapy have a higher risk of recurrent intracranial hemorrhage than non-oral anticoagulation therapy (aHR: 1.57, 95% CI: 1.36–1.81) for Asians. Conclusion: After intracranial hemorrhage in atrial fibrillation patients, restarting or initiating oral anticoagulation therapy decreased the risk of Ischemic Stroke/SE and all-cause death but did not increase the risk for recurrent intracranial hemorrhage. Direct oral anticoagulations have better efficacy and safety than warfarin if oral anticoagulation therapy is started. However, starting oral anticoagulation increases the risk for recurrent intracranial hemorrhage in the Asian region.

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)0.014
metaresearch head score (Gemma)0.035
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: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.035
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0190.039
Bibliometrics0.0070.007
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0020.002
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 head0.045
GPT teacher head0.365
Teacher spread0.320 · 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
GenreReview

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

Citations9
Published2023
Admission routes1
Has abstractyes

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