Evidence map›Paper›PMID 38642403›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2024

Long-term Risk of Serious Infections and Mortality Among Patients Surviving Drug Use-Associated Infective Endocarditis.

Mary C Figgatt, David L Rosen, Vivian H Chu, Li-Tzy Wu, Asher J Schranz

Open access · bronzeAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2024. 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
1.9field-weighted citation impact, top 14% 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, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. 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.

Mary C FiggattDepartment of Medicine, University of Alabama, Birmingham, Alabama, USA.ORCID 0000-0002-3312-2413
David L RosenDepartment of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA.
Vivian H ChuDepartment of Medicine, Duke University School of Medicine, Durham, North Carolina, USA.
Li-Tzy WuDepartment of Medicine, Duke University School of Medicine, Durham, North Carolina, USA.
Asher J SchranzDepartment of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA.ORCID 0000-0002-7497-7717
Duke University · USUniversity of North Carolina at Chapel Hill · USUniversity of Alabama at Birmingham · US

Funding

Drug-use associated infective endocarditis: Post-hospitalization outcomes and patient treatment preferencesK23DA049946 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SCHRANZ, ASHER JACOB · 2020 to 2024
$880k
Infections and Drug Use-Related Morbidity and Mortality among People Who Use DrugsF31DA055345 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FIGGATT, MARY CHARLOT · 2022 to 2023
$60k
NIDA NIH HHS F31 DA055345NIDA NIH HHS K23 DA049946NIDA NIH HHS K23DA049946NIH
6 · The paper itself

Abstract

Among a statewide cohort of 1874 patients surviving hospitalization for drug use-associated endocarditis during 2017-2020, the 3-year risk of death or future hospitalization was 38% (16% for death before later infection, 14% for recurrent endocarditis, 14% for soft tissue, 9% for bacteremia, 5% for bone/joint, and 4% for spinal infections).

Indexed as

EndocarditisAdultAgedBacteremiaCohort StudiesEndocarditis, BacterialFemaleHospitalizationHumansMaleMiddle AgedRisk FactorsSubstance-Related Disordersbacterial infectionsendocarditisinjection drug usemortality

Identifiers

PMID38642403
PMCPMC11259212
OpenAlexW4394974998

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.