Evidence map›Paper›PMID 28394707›Full record

ArticlePublic health reports (Washington, D.C. : 1974)

Sociodemographic and Clinical Risk Factors Associated With Tuberculosis Mortality in the United States, 2009-2013.

Haylea A Hannah, Roque Miramontes, Neel R Gandhi

Abstract read
In one paragraph

Article in Public health reports (Washington, D.C. : 1974). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  9. Factors Associated with Tuberculosis Mortality in Manjung District, Perak, Malaysia.The Malaysian journal of medical sciences : MJMS · 2023
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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

3 authors.

Haylea A Hannah1 Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Roque Miramontes2 Division of Tuberculosis Elimination, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Neel R Gandhi1 Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.

Funding

Mentorship in Patient-Oriented Research in Tuberculosis, HIV and Global HealthK24AI114444 · NIAID · EMORY UNIVERSITY · PI GANDHI, NEEL RAJNIKANT · 2014 to 2023
$1.8M
NIAID NIH HHS K24 AI114444
6 · The paper itself

Abstract

objectivesThe objectives of our study were (1) to determine risk factors associated with tuberculosis (TB)-specific and non-TB-specific mortality among patients with TB and (2) to examine whether risk factors for TB-specific mortality differed from those for non-TB-specific mortality.

methodsWe obtained data from the National Tuberculosis Surveillance System and included all patients who had TB between 2009 and 2013 in the United States and its territories. We used multinomial logistic regression analysis to determine the adjusted odds ratio (aOR) of each risk factor for TB-specific and non-TB-specific mortality.

resultsOf 52 175 eligible patients with TB, 1404 died from TB, and 2413 died from other causes. Some of the risk factors associated with the highest odds of TB-specific mortality were multidrug-resistant TB diagnosis (aOR = 3.42; 95% CI, 1.95-5.99), end-stage renal disease (aOR = 3.02; 95% CI, 2.23-4.08), human immunodeficiency virus infection (aOR = 2.63; 95% CI, 2.02-3.42), age 45-64 years (aOR = 2.57; 95% CI, 2.01-3.30) or age ≥65 years (aOR = 5.76; 95% CI, 4.37-7.61), and immunosuppression (aOR = 2.20; 95% CI, 1.71-2.83). All of these risk factors except multidrug-resistant TB were also associated with increased odds of non-TB-specific mortality.

conclusionTB patients with certain risk factors have an elevated risk of TB-specific mortality and should be monitored before, during, and after treatment. Identifying the predictors of TB-specific mortality may help public health authorities determine which subpopulations to target and where to allocate resources.

Indexed as

DemographyPopulation SurveillanceAdolescentAdultAgedChildChild, PreschoolFemaleHumansInfantLogistic ModelsMaleMiddle AgedMortalityOdds RatioRisk Factorsmortalitysurveillancetuberculosis

Identifiers

PMID28394707
PMCPMC5415250

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.