Evidence map›Paper›PMID 29163950›Full record

ArticleSAGE open medicine2017

A retrospective epidemiologic study to define risk factors, microbiology, and clinical outcomes of infective endocarditis in a large tertiary-care teaching hospital.

Anahita S Mostaghim, Hoi Yee Annie Lo, Nancy Khardori

Abstract read
In one paragraph

Article in SAGE open medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

50 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Surgery inJournal of clinical medicine · 2025
    Article
  8. Review
  9. Article
  10. Infective endocarditis: it takes a team.European heart journal · 2025
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Bartonella Infection andInfection and drug resistance · 2025
    Article
  16. Evaluation of parameters predicting in-hospital mortality and septic embolisms in patients with infective endocarditis.Postepy w kardiologii interwencyjnej = Advances in interventional cardiology · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. 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

3 authors.

Anahita S MostaghimSchool of Medicine, Eastern Virginia Medical School, Norfolk, VA, USA.
Hoi Yee Annie LoSchool of Medicine, Eastern Virginia Medical School, Norfolk, VA, USA.
Nancy KhardoriDivision of Infectious Disease, Department of Medicine, Eastern Virginia Medical School, Norfolk, VA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to define risk factors as well as their association with microbiology and clinical outcomes in a large US infective endocarditis population.

methodsHospital records were searched for appropriate infective endocarditis-related ICD codes from 16 July 2007 to 13 August 2015. A total of 363 cases were retrospectively identified that met definite Modified Duke Criteria for infective endocarditis and were analyzed by age group, causative organism, and associated risk factors for use of valvular surgical intervention, 30/90/180-day mortality after admission, and embolic phenomena.

resultsChronic hemodialysis was the most common risk factor (26.7% of cases). Of all age groups, those aged 78+ years had the lowest 30-day mortality but those aged 58-77 years had the highest mortality (p = 0.039).

conclusionIn our infective endocarditis population,

Indexed as

epidemiologyhemodialysisInfective endocarditismicrobiologymortalityoutcomesrisk factor

Identifiers

PMID29163950
PMCPMC5692128

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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.