Evidence map›Paper›PMID 36769508›Full record

ArticleJournal of clinical medicine2023

Prediction and Implications of Edoxaban-Associated Bleeding in Patients after Critical Illness.

Ryusei Mikami, Mineji Hayakawa, Shungo Imai, Kunihiko Maekawa, Kojiro Yamazaki, Mitsuru Sugawara, Yoh Takekuma

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Ryusei MikamiDepartment of Pharmacy, Hokkaido University Hospital, Sapporo 060-8648, Japan.ORCID 0000-0003-4873-2166
Mineji HayakawaDepartment of Emergency Medicine, Hokkaido University Hospital, Sapporo 060-8648, Japan.ORCID 0000-0001-8341-7626
Shungo ImaiFaculty of Pharmacy, Keio University, Tokyo 105-8512, Japan.ORCID 0000-0001-5706-613X
Kunihiko MaekawaDepartment of Emergency Medicine, Hokkaido University Hospital, Sapporo 060-8648, Japan.
Kojiro YamazakiDepartment of Pharmacy, Hokkaido University Hospital, Sapporo 060-8648, Japan.
Mitsuru SugawaraFaculty of Pharmaceutical Sciences, Hokkaido University, Sapporo 060-0812, Japan.
Yoh TakekumaDepartment of Pharmacy, Hokkaido University Hospital, Sapporo 060-8648, Japan.ORCID 0000-0002-4325-0785

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this retrospective study, we aimed to identify the risk factors for bleeding in patients after critical illness during edoxaban treatment. Data from patients who received edoxaban after critical illness at the Emergency Department at a tertiary care hospital were obtained from the hospital medical records. Multivariate analysis revealed the risk factors for edoxaban-associated bleeding. Additionally, we developed an edoxaban-associated bleeding score (EAB score) based on these results. The derived EAB score was compared with the HAS-BLED score using receiver operating characteristic (ROC) curve analysis. Bleeding was observed in 42 of 114 patients (36.8%). We identified the following bleeding predictors (odds ratios, 95% confidence interval, score points) using multivariate analysis: concomitant use of antiplatelet agents (6.759, 2.047-22.32, 2 points), concomitant use of P-glycoprotein inhibitors (3.825, 1.484-9.856, 1 point), prothrombin time (PT)% following edoxaban administration of <75% and ≥60% (2.507, 0.788-7.970, 1 point), and PT% following edoxaban administration of <60% (11.23, 3.560-35.42, 3 points). The ROC curve analysis revealed an area under the curve of 0.826 for the EAB score and 0.625 for the HAS-BLED score. Under appropriate edoxaban dosing regimens in patients after critical illness, a combination of antiplatelet agents, P-gp inhibitors, and a low PT% following edoxaban administration were identified as strong risk factors for bleeding.

Indexed as

anticoagulantbleeding scorecritical illnessedoxaban

Identifiers

PMID36769508
PMCPMC9918203

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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.