Evidence map›Paper›PMID 31118367›Full record

ArticleInternal medicine (Tokyo, Japan)2019

Prediction of Acute-phase Complications in Patients with Infectious Endocarditis.

Fumiya Saito, Shigeru Toyoda, Takuo Arikawa, Shu Inami, Ryo Watanabe, Syotaro Obi, Masashi Sakuma, Tomoaki Kanaya, Shichiro Abe, Toshiaki Nakajima and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Internal medicine (Tokyo, Japan), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Fumiya SaitoDepartment of Cardiovascular Medicine, Dokkyo Medical University School of Medicine, Japan.
Shigeru ToyodaDepartment of Cardiovascular Medicine, Dokkyo Medical University School of Medicine, Japan.
Takuo ArikawaDepartment of Cardiovascular Medicine, Dokkyo Medical University School of Medicine, Japan.
Shu InamiDepartment of Cardiovascular Medicine, Dokkyo Medical University School of Medicine, Japan.
Ryo WatanabeDepartment of Cardiovascular Medicine, Dokkyo Medical University School of Medicine, Japan.
Syotaro ObiDepartment of Cardiovascular Medicine, Dokkyo Medical University School of Medicine, Japan.
Masashi SakumaDepartment of Cardiovascular Medicine, Dokkyo Medical University School of Medicine, Japan.
Tomoaki KanayaDepartment of Cardiovascular Medicine, Dokkyo Medical University School of Medicine, Japan.
Shichiro AbeDepartment of Cardiovascular Medicine, Dokkyo Medical University School of Medicine, Japan.
Toshiaki NakajimaDepartment of Cardiovascular Medicine, Dokkyo Medical University School of Medicine, Japan.
Teruo InoueDepartment of Cardiovascular Medicine, Dokkyo Medical University School of Medicine, Japan.
Dokkyo Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective Embolic events are frequent and life-threatening complications of infective endocarditis (IE). Recently, an embolic risk assessment at admission, based on the Embolic Risk (ER) French Calculator, was designed to predict the development of symptomatic emboli associated with IE. This study aimed to validate the ER French Calculator for the prediction of in-hospital events, including embolic events. Methods We retrospectively analyzed the clinical features of 52 consecutive patients with left-sided IE to identify possible predictors of in-hospital events within 30 days of admission. Results New embolic events were seen in 15 patients (29%), cardiac surgery was performed in 22 patients (42%), and 1 patient (2%) died within 30 days of admission. A composite endpoint of embolic complications, cardiac surgery, or death was observed in 28 patients (54%). The cumulative incidence of new embolic events was significantly higher in the high-risk group identified by the ER French Calculator than in the low-risk group (log-rank test; p=0.0004). The incidence of the composite endpoint was higher in the high-risk group than in the low-risk group (log-rank test; p<0.0001). A multivariate Cox proportional hazards model indicated that the high-risk designation on the ER French Calculator predicted embolic events (p=0.0410) and composite events (p=0.0371) independently of other candidate predictors. Conclusion The ER French Calculator may be a useful tool for predicting new in-hospital embolic events and other unfavorable in-hospital events in patients with IE.

Indexed as

AdultAgedAged, 80 and overCardiac Surgical ProceduresEmbolismEndocarditis, BacterialFemaleHumansIncidenceJapanMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesRisk AssessmentRisk Factorscardiac surgeryembolic eventembolic riskFrench Calculatorinfective endocarditis

Identifiers

PMID31118367
PMCPMC6746645
OpenAlexW2945158668

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.