Evidence map›Paper›PMID 30539033›Full record

ArticleOpen forum infectious diseases2018

Predictors of Surgical Intervention in Dialysis Patients With Infective Endocarditis.

John A Woller Iii, Victoria L Walsh, Chad Robichaux, Vinod H Thourani, Jesse T Jacob

Open access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Observational
  2. 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

5 authors at 3 institutions in 1 country.

John A Woller IiiEmory University School of Medicine, Atlanta, Georgia.
Victoria L WalshDivision of Infectious Diseases, Atlanta, Georgia.
Chad RobichauxDepartment of Medicine, Atlanta, Georgia.
Vinod H ThouraniDepartment of Cardiac Surgery, MedStar Heart & Vascular Institute, MedStar Health, Columbia, Maryland.
Jesse T JacobDivision of Infectious Diseases, Atlanta, Georgia.
Emory University · USMedStar Health · USOffice of Infectious Diseases · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of valve surgery for infective endocarditis (IE) in end-stage renal disease (ESRD) patients may be different than in the general population. We assessed predictors of early surgery in ESRD patients with IE.

methodsWe conducted a retrospective cohort study among dialysis patients with left-sided IE between 2005 and 2015. Indications for surgery were based on current endocarditis guidelines. Patients were categorized as early valve replacement surgery or delayed/no surgery. We used logistic regression to determine independent predictors of early surgery.

resultsAmong 229 patients, 67 (29.3%) underwent early surgery. New congestive heart failure was the only high level of evidence indication independently associated with early surgery (odds ratio [OR], 12.1; 95% confidence interval [CI], 3.4-43.6). Transfer from outside hospital (OR, 5.4; 95% CI, 2.2-13.3), valve rupture (OR, 6.9; 95% CI, 2.6-17.9), coagulase-negative staphylococcus etiology (OR, 3.8; 95% CI, 1.4-10.6), and presence of any low level of evidence indication (OR, 5.9; 95% CI, 2.2-15.5) predicted early surgery. Preexisting valve disease (OR, 0.31; 95% CI, 0.12-0.82) and surgical contraindications (OR, 0.05; 95% CI, 0.005-0.4) predicted nonsurgical treatment.

conclusionsAmong ESRD patients with IE, most surgical indications are not predictive of early surgery.

Indexed as

end-stage renal diseaseinfective endocarditispatient selectionsurgical indicationsvalve surgery

Identifiers

PMID30539033
PMCPMC6280940
OpenAlexW2895832839

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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.