Evidence map›Paper›PMID 41117308›Full record

ArticleClinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis

Bleeding Risk Prediction in Non-Valvular Atrial Fibrillation: Comparing Risk Scores in Apixaban- and Rivaroxaban-Treated Patients.

Christian Andrew Almalbis, Adyani Md Redzuan, Shamin Mohd Saffian

Abstract readComparative Study
In one paragraph

Article in Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Christian Andrew AlmalbisCentre for Quality Management of Medicines, Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.ORCID 0009-0005-4582-1683
Adyani Md RedzuanCentre for Quality Management of Medicines, Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.ORCID 0000-0002-8125-8462
Shamin Mohd SaffianCentre for Quality Management of Medicines, Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.ORCID 0000-0001-6243-6975

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectiveThis study aimed to evaluate the ability of seven bleeding risk assessment tools to predict bleeding events in patients with apixaban or rivaroxaban.MethodsA retrospective analysis was conducted on 313 NVAF patients (apixaban: n = 164; rivaroxaban: n = 149) with at least one year of follow-up at a tertiary hospital in Malaysia. Bleeding risk scores were calculated at treatment initiation using original definitions. Bleeding events were defined according to ISTH criteria. Predictive performance was assessed via area under the receiver operating characteristic (AUROC) curves, with good diagnostic accuracy defined as AUROC ≥ 0.7. Subgroup analyses by age and sex were also performed.ResultsOverall bleeding incidence was 12.46%. Among rivaroxaban users, ORBIT (AUROC 0.68), RE-LY (0.66), and HEMORR

Indexed as

Atrial FibrillationHemorrhagePyrazolesPyridonesRivaroxabanAgedAged, 80 and overFactor Xa InhibitorsFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsapixabanFactor Xa InhibitorsPyrazolesPyridonesRivaroxabanapixabanatrial fibrillationbleeding riskDOACrisk predictionrivaroxaban

Identifiers

PMID41117308
PMCPMC12553877

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.