Evidence map›Paper›PMID 31391352›Full record

ArticleJournal of atherosclerosis and thrombosis2020

Total Thrombus-Formation Analysis System can Predict 1-Year Bleeding Events in Patients with Coronary Artery Disease.

Tatsuro Mitsuse, Koichi Kaikita, Masanobu Ishii, Yu Oimatsu, Nobuhiro Nakanishi, Miwa Ito, Yuichiro Arima, Daisuke Sueta, Satomi Iwashita, Koichiro Fujisue and 9 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of atherosclerosis and thrombosis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Temporary Rise in Blood Thrombogenicity in Patients with Acute Myocardial Infarction.TH open : companion journal to thrombosis and haemostasis · 2022
    Article
  8. Article
  9. Article
  10. Monitoring of Antithrombotic Therapy.Journal of atherosclerosis and thrombosis · 2020
    Article
  11. Article
  12. Total Thrombus-Formation System in Patients with Peripheral Artery Disease.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

19 authors at 1 institution in 1 country.

Tatsuro MitsuseDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, and Center for Metabolic Regulation of Healthy Aging Kumamoto University.
Koichi KaikitaDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, and Center for Metabolic Regulation of Healthy Aging Kumamoto University.
Masanobu IshiiDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, and Center for Metabolic Regulation of Healthy Aging Kumamoto University.
Yu OimatsuDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, and Center for Metabolic Regulation of Healthy Aging Kumamoto University.
Nobuhiro NakanishiDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, and Center for Metabolic Regulation of Healthy Aging Kumamoto University.
Miwa ItoDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, and Center for Metabolic Regulation of Healthy Aging Kumamoto University.
Yuichiro ArimaDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, and Center for Metabolic Regulation of Healthy Aging Kumamoto University.
Daisuke SuetaDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, and Center for Metabolic Regulation of Healthy Aging Kumamoto University.
Satomi IwashitaDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, and Center for Metabolic Regulation of Healthy Aging Kumamoto University.
Koichiro FujisueDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, and Center for Metabolic Regulation of Healthy Aging Kumamoto University.
Hisanori KanazawaDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, and Center for Metabolic Regulation of Healthy Aging Kumamoto University.
Seiji TakashioDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, and Center for Metabolic Regulation of Healthy Aging Kumamoto University.
Satoshi ArakiDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, and Center for Metabolic Regulation of Healthy Aging Kumamoto University.
Hiroki UsukuDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, and Center for Metabolic Regulation of Healthy Aging Kumamoto University.
Satoru SuzukiDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, and Center for Metabolic Regulation of Healthy Aging Kumamoto University.
Kenji SakamotoDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, and Center for Metabolic Regulation of Healthy Aging Kumamoto University.
Eiichiro YamamotoDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, and Center for Metabolic Regulation of Healthy Aging Kumamoto University.
Hirofumi SoejimaDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, and Center for Metabolic Regulation of Healthy Aging Kumamoto University.
Kenichi TsujitaDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, and Center for Metabolic Regulation of Healthy Aging Kumamoto University.
Kumamoto University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe assessment of bleeding risk in patients with coronary artery disease (CAD) is clinically important. We recently developed the Total Thrombus-Formation Analysis System (T-TAS) for the quantitative analysis of thrombus formation using microchips with thrombogenic surfaces. Here, we assessed the utility of T-TAS parameters in predicting 1-year bleeding events in patients with CAD.

methodsThe study subjects were 561 consecutive patients who underwent coronary angiography (CAG) between August 2013 and September 2016 for suspected CAD. Blood samples collected at the time of CAG were used for T-TAS to compute the area under the curve (AUC) (AR

resultsBleeding occurred in 21 (3.7%) patients and was classified as major (8 [1.4%]) and minor (13 [2.3%]). The AR

conclusionsThe results highlight the potential usefulness of the AR

Indexed as

Blood Coagulation TestsCoronary Artery DiseaseHemorrhageThrombosisAgedAnticoagulantsArea Under CurveCoronary AngiographyFemaleHumansJapanKaplan-Meier EstimateMaleMicrochip Analytical ProceduresPlatelet Aggregation InhibitorsPredictive Value of TestsAnticoagulantsPlatelet Aggregation InhibitorsAntithrombotic therapyAR10-AUC30BleedingCADT-TAS

Identifiers

PMID31391352
PMCPMC7113144
OpenAlexW2966034165

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.