Evidence map›Paper›PMID 36277297›Full record

ArticleTherapeutic advances in infectious disease

Screening for co-infections in patients with substance use disorders and severe bacterial infections.

Cara D Varley, Michael Conte, Amber C Streifel, Bradie Winders, Monica K Sikka

Open access · goldAbstract read
In one paragraph

Article in Therapeutic advances in infectious disease. 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
0.6field-weighted citation impact, top 31% 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, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Therapeutic advances in infectious disease
    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 2 institutions in 1 country.

Cara D VarleyDivision of Infectious Diseases, School of Medicine, Oregon Health & Science University, Portland, OR, USA.ORCID https://orcid.org/0000-0003-3209-4489
Michael ConteDivision of Infectious Diseases, School of Medicine, Oregon Health & Science University, Portland, OR, USA.
Amber C StreifelDepartment of Pharmacy, Oregon Health & Science University, Portland, OR, USA.
Bradie WindersSchool of Public Health, Oregon Health & Science University -Portland State University, Portland, OR, USA.
Monica K SikkaDivision of Infectious Diseases, School of Medicine, Oregon Health & Science University, Portland, OR, USA.ORCID https://orcid.org/0000-0001-8192-8019
Oregon Health & Science University · USPortland State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients with substance use disorders admitted for severe bacterial infection are in a prime position to be screened for important co-infections. However, data suggest that standard screening for co-infections in this population during hospital admission can vary in frequency and type of testing. Methods: We performed a retrospective review of patients to evaluate screening for co-infections during admission, followed by a case-control analysis to determine factors associated with lack of any screening. Results: We identified 280 patients with 320 eligible admissions. Most were male and Caucasian with unstable housing. Only 67 (23.9%) patients had a primary-care provider. About 89% ( Conclusion: Our data suggest additional interventions are needed to improve inpatient screening for co-infections in this population.

Indexed as

chlamydiagonorrheahepatitis Chuman immunodeficiency virusinfection screeninginjection drug usesubstance use disorderssyphilis

Identifiers

PMID36277297
PMCPMC9580098
OpenAlexW4307227921

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.