Evidence map›Paper›PMID 35850568›Full record

ArticleJournal of primary care & community health

Latent Tuberculosis Infection Treatment Outcomes in an At-Risk Underserved Population in Rhode Island.

Shelly Verma, Cristina Pacheco, E Jane Carter, Daria Szkwarko

Abstract read
In one paragraph

Article in Journal of primary care & community health. 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
–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

4 citing papers in PubMed.

  1. Latent TB treatment outcomes in patients with chronic liver disease: A retrospective cohort study.Journal of clinical tuberculosis and other mycobacterial diseases · 2025
    Article
  2. Article
  3. Observational
  4. Observational
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.

Shelly VermaThe Warren Alpert Medical School of Brown University, Providence, RI, USA.ORCID 0000-0002-0798-6234
Cristina PachecoThe Warren Alpert Medical School of Brown University, Providence, RI, USA.
E Jane CarterThe Warren Alpert Medical School of Brown University, Providence, RI, USA.
Daria SzkwarkoThe Warren Alpert Medical School of Brown University, Providence, RI, USA.ORCID 0000-0001-5864-9011

Funding

Tracking and Evaluation CoreU54GM115677 · NIGMS · BROWN UNIVERSITY · PI ROUNDS, SHARON IRENE SMITH · 2016 to 2025
$45.0M
NIGMS NIH HHS U54 GM115677
6 · The paper itself

Abstract

objectivesWithin the United States (US), significant racial and ethnic disparities exist in the rates of latent TB infection (LTBI) and active TB disease. A disproportionate number of TB disease cases result from untreated LTBI among individuals born outside the US. This study evaluates LTBI treatment outcomes among an underserved, at-risk population in Rhode Island.

methodsA quantitative retrospective chart review of adult patients with a positive screening test assessed LTBI care cascade outcomes including referral, treatment initiation, and completion.

resultsSeventy-four percent of patients found to have positive screening TB tests were born outside of the US; 80% identified as Hispanic or Black and 45% spoke a preferred language other than English. Twenty-one percent of potential candidates for LTBI treatment initiated treatment.

conclusionsMajor gaps were identified in referral success and treatment initiation. Expanding LTBI treatment access into primary care settings could be a solution to improve outcomes and decrease health inequities among at-risk communities.

Indexed as

Latent TuberculosisAdultHumansRetrospective StudiesRhode IslandTreatment OutcomeTuberculin TestUnited StatesVulnerable PopulationsFederally Qualified Health CenterLTBIunderserved

Identifiers

PMID35850568
PMCPMC9310062

What OpenQuestion holds

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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.