Evidence map›Paper›PMID 34340930›Full record

ArticleJournal of infection and chemotherapy : official journal of the Japan Society of Chemotherapy2021

The influence of pre-admission antiplatelet and anticoagulation therapy on the illness severity in hospitalized patients with COVID-19 in Japan.

Tomiteru Togano, Yukari Uemura, Yusuke Asai, Kayoko Hayakawa, Nobuaki Matsunaga, Mari Terada, Hiroshi Ohtsu, Setsuko Suzuki, Ako Toyoda, Hisao Hara and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of infection and chemotherapy : official journal of the Japan Society of Chemotherapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. The Impact of Prior Antithrombotic use on Thromboembolic Events in Patients with Cardiovascular Disease and Severe COVID-19 Infection.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Article
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

15 authors at 1 institution in 1 country.

Tomiteru ToganoDepartment of Hematology, National Center for Global Health and Medicine, Tokyo, Japan. Electronic address: ttogano@hosp.ncgm.go.jp.
Yukari UemuraCenter for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan.
Yusuke AsaiAMR Clinical Reference Center, National Center for Global Health and Medicine, Tokyo, Japan.
Kayoko HayakawaAMR Clinical Reference Center, National Center for Global Health and Medicine, Tokyo, Japan; Disease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Nobuaki MatsunagaAMR Clinical Reference Center, National Center for Global Health and Medicine, Tokyo, Japan.
Mari TeradaCenter for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan; Disease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Hiroshi OhtsuCenter for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan.
Setsuko SuzukiDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Ako ToyodaCenter for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan.
Hisao HaraDepartment of Cardiology, National Center for Global Health and Medicine, Tokyo, Japan.
Rubuna SatoDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Masahiro IshikaneAMR Clinical Reference Center, National Center for Global Health and Medicine, Tokyo, Japan; Disease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Noriko Kinoshita-IwamotoAMR Clinical Reference Center, National Center for Global Health and Medicine, Tokyo, Japan; Disease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Akira HangaishiDepartment of Hematology, National Center for Global Health and Medicine, Tokyo, Japan.
Norio OhmagariAMR Clinical Reference Center, National Center for Global Health and Medicine, Tokyo, Japan; Disease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
National Center for Global Health and Medicine · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMany articles have reported that the coronavirus disease 2019 (COVID-19) causes coagulation abnormalities and pulmonary thrombosis, contributing to a poorer prognosis. The study aimed to evaluate whether pre-admission anticoagulation and antiplatelet therapy prevented severe COVID-19 illness or not. MATERIALS AND

methodsWe conducted a study to determine whether taking antiplatelet or anticoagulation agents before admission affected the severity on admission using a large nationwide cohort of hospitalized COVID-19 patients in Japan. We analyzed a large nationwide cohort of hospitalized COVID-19 patients in Japan from February 9 to July 31, 2020. RESULTS AND

conclusionA total of 4265 patients from 342 facilities in Japan were included. Their use was associated with a slight reduction in the disease severity on admission in a propensity score-matched analysis which controlled for underlying diseases. However, this difference was not statistically significant.

Indexed as

COVID-19AnticoagulantsHumansJapanSARS-CoV-2Severity of Illness IndexAnticoagulantsAnticoagulantsAntiplatelet therapyCOVID-19Japan

Identifiers

PMID34340930
PMCPMC8302845
OpenAlexW3184784075

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.