Evidence map›Paper›PMID 25393181›Full record

ArticleAmerican journal of public health2015

Disparities in tuberculosis burden among South Asians living in New York City, 2001-2010.

Natalie Stennis, Lisa Trieu, Bianca Perri, Janelle Anderson, Muhammad Mushtaq, Shama Ahuja

Open access · greenAbstract read
In one paragraph

Article in American journal of public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Epidemiology of extrapulmonary tuberculosis, Alameda County, California, 2010-2021.Journal of clinical tuberculosis and other mycobacterial diseases · 2026
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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

6 authors at 1 institution in 1 country.

Natalie StennisAt the time of the study, all of the authors were with the New York City Department of Health and Mental Hygiene, Bureau of Tuberculosis Control, New York, NY.
Lisa Trieu
Bianca Perri
Janelle Anderson
Muhammad Mushtaq
Shama Ahuja
New York City Department of Health and Mental Hygiene · US

Funding

NCHM CDC HHS 5U38HM000414NCHM CDC HHS U38 HM000414
6 · The paper itself

Abstract

objectivesWe have described the characteristics of South Asian-born tuberculosis (TB) patients living in New York City (NYC) and compared them with other foreign-born patients to explore possible explanations for the disproportionate burden of TB in the South Asian population.

methodsWe used data on demographic and clinical characteristics for TB patients identified by the NYC Bureau of Tuberculosis Control from 2001 to 2010 to compare South Asian patients with other Asian and other foreign-born patients. We reviewed genotyping and cluster investigation data for South Asian patients to assess the extent of genotype clustering and the possibility of local transmission in this population.

resultsThe observed disparity in TB rates and burden among South Asians was not explained by social or clinical characteristics. A large amount of TB strain diversity was observed among South Asians, and they were less likely than other foreign-born patients to be infected with the same TB strain as another NYC patient.

conclusionsThe majority of South Asians were likely infected with TB abroad. South Asians represent a meaningful foreign-born subpopulation for targeted detection and treatment of TB infection in NYC.

Indexed as

AdolescentAdultAgedAsian PeopleChildChild, PreschoolEmigration and ImmigrationFemaleGenotypeHumansInfantMaleMiddle AgedNew York CitySocioeconomic FactorsTuberculosis

Identifiers

PMID25393181
PMCPMC4386506
OpenAlexW2038614151

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.