Evidence map›Paper›PMID 32866192›Full record

ArticlePloS one2020

Predictive factors associated with bleeding in atrial fibrillation patients treated with anti-coagulant drugs using a large claims database.

Kenji Momo, Kana Shu-Toh, Makiko Kaneko, Nauta Yamanaka, Yuji Oto, Katsumi Tanaka, Masayoshi Koinuma, Tadanori Sasaki

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 38% of its field
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, 2 citations in OpenAlex.

  1. Review
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

8 authors at 2 institutions in 1 country.

Kenji MomoFaculty of Pharmaceutical Sciences, Teikyo Heisei University, Nakano-ku, Tokyo, Japan.ORCID 0000-0001-9856-0097
Kana Shu-TohFaculty of Pharmaceutical Sciences, Teikyo Heisei University, Nakano-ku, Tokyo, Japan.
Makiko KanekoJMDC inc., Minato-ku, Tokyo, Japan.
Nauta YamanakaJMDC inc., Minato-ku, Tokyo, Japan.
Yuji OtoDepartment of Hospital Pharmaceutics, School of Pharmacy, Showa University, Shinagawa-ku, Tokyo, Japan.
Katsumi TanakaDepartment of Hospital Pharmaceutics, School of Pharmacy, Showa University, Shinagawa-ku, Tokyo, Japan.
Masayoshi KoinumaFaculty of Pharmaceutical Sciences, Teikyo Heisei University, Nakano-ku, Tokyo, Japan.
Tadanori SasakiDepartment of Hospital Pharmaceutics, School of Pharmacy, Showa University, Shinagawa-ku, Tokyo, Japan.
Showa University Hospital · JPTeikyo Heisei University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify risk factors for bleeding in atrial fibrillation (AF) patients treated with anti-coagulants such as warfarin, apixaban, edoxaban, dabigatran, rivaroxaban using a large claims database.

methodsA claims database for 8926 AF patients from 2004 to 2016 was obtained from JMDC. Inc. We performed a retrospective cohort study in 2796 Japanese AF patients with 4-month screening and 12-month observation periods. Polypharmacy was defined as prescription of over six drugs. Logistic regression analysis was conducted after stratification based on the presence and absence of cerebrovascular diseases to detect the predictive factors for bleeding.

resultsPolypharmacy was observed in 815 of 2796 (29.1%) patients. A total of 371 AF patients (13.3%) experienced bleeding in the 12-month observation period. Bleeding risk assessment using multiple logistic regression analysis revealed that the odds ratio for the number of co-administered drugs in the elderly (age for ≥60, ≤74) was not significant in those without and with cerebrovascular diseases (1.05 [0.99-1.12], N.S. and 1.10 [0.96-1.27], N.S.). In contrast, in the young (age for <60), the number of co-administered drugs was a significant predictive factor in those without and with cerebrovascular diseases (1.09 [1.03-1.16], p = 0.0054 and 1.20 [1.05-1.36], p = 0.0059). Other observed predictors were"history of bleeding" in young and elderly, but "polypharmacy" and "start from warfarin" were observed in only young.

conclusionWe determined the bleeding risk in the clinical setting using a large claims database. Physicians and pharmacists need to monitor patients for the initial bleeding signs, particularly in those with these predictive risk factors.

Indexed as

AnticoagulantsAtrial FibrillationData ManagementFemaleHemorrhageHumansMiddle AgedRisk FactorsAnticoagulants

Identifiers

PMID32866192
PMCPMC7458330
OpenAlexW3082513330

What OpenQuestion holds

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LicenceCC BY
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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.