Evidence map›Paper›PMID 34869920›Full record

ArticleJournal of clinical tuberculosis and other mycobacterial diseases2021

The epidemiology, demographics, and comorbidities of pulmonary and extra-pulmonary non-tuberculous mycobacterial infections at a large central Florida Academic Hospital.

Cristina V Garcia, Greg E Teo, Kristen Zeitler, Ripal Jariwala, Jose Montero, Beata Casanas, Sadaf Aslam, Anthony P Cannella, Jamie P Morano

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical tuberculosis and other mycobacterial diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Cristina V GarciaDivision of Infectious Diseases & International Medicine, Morsani College of Medicine-University of South Florida, 1 Tampa General Circle G323, Tampa, FL 33606, USA.
Greg E TeoDivision of Infectious Diseases & International Medicine, Morsani College of Medicine-University of South Florida, 1 Tampa General Circle G323, Tampa, FL 33606, USA.
Kristen ZeitlerDepartment of Pharmacy, Tampa General Hospital, 1 Tampa General Cir, Tampa, FL 33606, USA.
Ripal JariwalaDepartment of Pharmacy, Tampa General Hospital, 1 Tampa General Cir, Tampa, FL 33606, USA.
Jose MonteroDivision of Infectious Diseases & International Medicine, Morsani College of Medicine-University of South Florida, 1 Tampa General Circle G323, Tampa, FL 33606, USA.
Beata CasanasDivision of Infectious Diseases & International Medicine, Morsani College of Medicine-University of South Florida, 1 Tampa General Circle G323, Tampa, FL 33606, USA.
Sadaf AslamDivision of Infectious Diseases & International Medicine, Morsani College of Medicine-University of South Florida, 1 Tampa General Circle G323, Tampa, FL 33606, USA.
Anthony P CannellaDivision of Infectious Diseases & International Medicine, Morsani College of Medicine-University of South Florida, 1 Tampa General Circle G323, Tampa, FL 33606, USA.
Jamie P MoranoDivision of Infectious Diseases & International Medicine, Morsani College of Medicine-University of South Florida, 1 Tampa General Circle G323, Tampa, FL 33606, USA.
Tampa General Hospital · USUniversity of South Florida · USJames A. Haley Veterans' Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleIn the United States, non-tuberculous mycobacterium (NTM) infections are considered an important cause of morbidity and mortality, especially in people with progressive lung disease. The state of Florida has an extremely high incidence and prevalence of NTM disease which is likely a rapidly emerging infection in the state due to environmental and demographic factors.

objectivesAdjemian et al. [1] To determine the burden of NTM disease of patients admitted to a large Central Florida academic center, Falkinham [2] to identify the most common risk factors associated with developing NTM disease in this area, and Sfeir et al. [4] to categorize antimicrobial susceptibilities and genetic resistance markers.

methodsWe conducted a retrospective case review from January 1, 2011 to December 31, 2017 in a large university-associated metropolitan hospital in west-central Florida. NTM infections were identified using TheraDoc® during the study period with the inclusion criteria of any inpatient admission, culture confirmed NTM at any site, and age ≥ 12 years. Demographic variables (including residential zip code) and comorbidity data (including solid organ transplant status, HIV status and subsequent testing results, intrinsic pulmonary disease, and cancer diagnosis of any site) were collected for each patient. Microbiologic data collected included NTM species/subspecies, anatomic location of specimen collection, antimicrobial susceptibility including minimum inhibitory concentration (MIC). All collected data were analyzed within Stata/IC14.2. Geospatial relationships between zip codes, diagnosis type, and co-morbidities were computed using Arc GIS Pro.

resultsOur results demonstrated that a substantial number of our inpatient cases with NTM were of the

conclusionsOur data set demonstrates the most common species/subspecies of NTM infections and their associated conditions seen at our central Florida hospital, and includes an antimicrobial sensitivity analysis in toto. This could be insight into the possible prevalence of NTM in the area, and provides the foundation for future studies on both the acquisition and prevention for NTM infections in central Florida.

Indexed as

Central FloridaEpidemiologyNon-tuberculous Mycobacteria

Identifiers

PMID34869920
PMCPMC8626838
OpenAlexW3217365511

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.