Evidence map›Paper›PMID 32641300›Full record

ArticleBMJ open diabetes research & care2020

Diabetes mellitus among adults with tuberculosis in the USA, 2010-2017.

Lori R Armstrong, J Steve Kammerer, Maryam B Haddad

Abstract read
In one paragraph

Article in BMJ open diabetes research & care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

17 citing papers in PubMed.

  1. Impact of Diabetes Mellitus in Tuberculosis (TB) Patients on TB Transmission.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
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  17. Evaluation of point-of-care algorithms to detect diabetes during screening for latent TB infection.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2021
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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.

Lori R ArmstrongDivision of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
J Steve KammererDivision of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Maryam B HaddadDivision of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, Georgia, USA mhaddad@cdc.gov.ORCID 0000-0001-6327-068X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTo describe diabetes trends among adults with incident tuberculosis (TB) disease and examine diabetes-associated TB characteristics and patient outcomes in the USA. RESEARCH DESIGN AND

methodsWe examined all 71 855 persons aged ≥20 years with incident TB disease reported to the National Tuberculosis Surveillance System during 2010-2017. We performed multivariable logistic regression, comparing characteristics and outcomes among patients with TB reported to have diabetes and those whose diabetes status was unknown.

resultsAn overall 18% (n=13 281) of the 71 855 adults with incident TB disease were reported as also having diabetes; the annual proportion increased from 15% in 2010 to 22% in 2017. Among patients aged ≥45 years with both TB and diabetes, the adjusted OR for cavitary or sputum smear-positive TB was 1.7 and 1.5, respectively (95% CIs 1.5 to 1.8 and 1.4 to 1.6). Patients with TB and diabetes had 30% greater odds of dying and took longer to achieve negative

conclusionsThe prevalence of reported diabetes among adults with TB disease has increased. Having diabetes as a comorbidity negatively affects patient outcomes. In accordance with national recommendations, all patients aged ≥45 years and all younger patients who have risk factors for diabetes should be screened for diabetes at the start of TB treatment.

Indexed as

Diabetes MellitusTuberculosisAdultAntitubercular AgentsHumansPrevalenceSputumUnited StatesAntitubercular Agentsdisease associationepidemiologytuberculosis

Identifiers

PMID32641300
PMCPMC7342266

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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.