Evidence map›Paper›PMID 24067406›Full record

ArticleEpidemiology and infection2014

Characterization of hepatitis C infection in tuberculosis patients in an urban city in the USA.

M Campo, A Shrestha, E Oren, H Thiede, J Duchin, M Narita, K Crothers

Open access · bronzeAbstract read
In one paragraph

Article in Epidemiology and infection, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 3 pooled it
0.2field-weighted citation impact, top 44% 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, 3 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. 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

7 authors at 2 institutions in 1 country.

M CampoDepartment of Pulmonary and Critical Care Medicine,University of Washington,WA,USA.
A ShresthaDepartment of Epidemiology,University of Washington,WA,USA.
E OrenDepartment of Epidemiology,University of Washington,WA,USA.
H ThiedeDepartment of Epidemiology,University of Washington,WA,USA.
J DuchinDepartment of Epidemiology,University of Washington,WA,USA.
M NaritaDepartment of Pulmonary and Critical Care Medicine,University of Washington,WA,USA.
K CrothersDepartment of Pulmonary and Critical Care Medicine,University of Washington,WA,USA.
University of Washington · USPublic Health – Seattle & King County · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impact of hepatitis C virus infection (HCI), the most common bloodborne virus infection in the USA, on outcome of active tuberculosis (TB) treatment is largely unknown. We aimed to describe characteristics of TB patients with hepatitis C virus infection (TB-HCI) in King County, Washington, including TB treatment duration and outcome. We reviewed 1510 records of patients treated for active TB at the Public Health - Seattle & King County Tuberculosis Control Program between 2000 and 2010, and identified 53 with HCI. Advanced age, being born in the USA, HIV infection, homelessness and injection drug use were independently associated with HCI in TB cases. Independent factors associated with increased treatment duration included HIV infection, excess alcohol use, extrapulmonary TB, and any drug-resistant TB disease. Our findings suggest that TB-HCI patients can be successfully treated for active TB without extending treatment duration.

Indexed as

AdultAntitubercular AgentsCoinfectionFemaleHepatitis CHumansMaleMiddle AgedRetrospective StudiesRisk FactorsTreatment OutcomeTuberculosisWashingtonAntitubercular Agents

Identifiers

PMID24067406
PMCPMC9151201
OpenAlexW2133910416

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.