Evidence map›Paper›PMID 33643230›Full record

ArticleFrontiers in microbiology2021

Characteristics and Specialist Linkage to Care of Patients Diagnosed With Chronic Hepatitis C Across Different Settings in an Urban Academic Hospital: Implications for Improving Diagnosis and Linkage to Care.

Dan C S Im, Susheel Reddy, Claudia Hawkins, Shannon Galvin

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2021. 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
0.2field-weighted citation impact, top 49% 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, 3 citations in OpenAlex.

  1. Article
  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

4 authors at 1 institution in 1 country.

Dan C S ImDivision of Infectious Diseases, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.
Susheel ReddyDivision of Infectious Diseases, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.
Claudia HawkinsDivision of Infectious Diseases, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.
Shannon GalvinDivision of Infectious Diseases, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.
Northwestern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionChronic hepatitis C virus (HCV) infection is a significant public health problem. Strategies to identify more HCV infections and improve linkage to care (LTC) are needed. We compared characteristics, treatment and LTC among chronic HCV patients in different health care settings.

methodsNewly diagnosed HCV antibody positive (anti-HCV+) patients within settings of acute care, inpatient and outpatient in one health system were studied. Proportion of LTC and treatment were analyzed only for HCV RNA positive patients. Chi-square, one-way ANOVA and logistic regression were used to compare the characteristics and outcomes in the three care settings. Patients in acute care settings were excluded from multivariate analyses due to low sample size.

resultsAbout 43, 368, and 1159 anti-HCV+ individuals were identified in acute care, inpatient, and outpatient, respectively. Proportion of RNA positivity in acute, inpatient, and outpatient were 47.8, 60.3 and 29.2%, respectively (

conclusionsInpatients had lower proportion of LTC and treatment compared to outpatients. Use of LTC coordinators and the provision of integrated service for specialty care may improve outcomes.

Indexed as

chronic hepatitis Chepatitishepatitis (C) viruslinkage to carescreening

Identifiers

PMID33643230
PMCPMC7904674
OpenAlexW3131744323

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.