Evidence map›Paper›PMID 25888317›Full record

ArticleBMC infectious diseases2015

Predictors and outcomes of mycobacteremia among HIV-infected smear- negative presumptive tuberculosis patients in Uganda.

Lydia Nakiyingi, Willy Ssengooba, Damalie Nakanjako, Derek Armstrong, Molly Holshouser, Bruce J Kirenga, Maunank Shah, Harriet Mayanja-Kizza, Moses L Joloba, Jerrold J Ellner and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 3 pooled it
4.1field-weighted citation impact, top 6% 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

29 citing papers in PubMed, 3 syntheses or guidelines pooled it, 84 citations in OpenAlex.

  1. Pooled it
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  15. Observational
  16. HIV-related tuberculosis: mortality risk in persons without vs. with culture-confirmed disease.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2019
    Article
  17. Review
  18. Article
  19. Etiology of Sepsis in Uganda Using a Quantitative Polymerase Chain Reaction-based TaqMan Array Card.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019
    Article
  20. Article
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

12 authors at 5 institutions in 2 countries.

Lydia NakiyingiInfectious Diseases Institute, Makerere University College of Health Sciences, Kampala, Uganda. lydikiyingi@yahoo.com.
Willy SsengoobaMakerere University College of Heath Sciences, Kampala, Uganda. willyssengooba@gmail.com.
Damalie NakanjakoInfectious Diseases Institute, Makerere University College of Health Sciences, Kampala, Uganda. dnakanjako@gmail.com.
Derek ArmstrongJohns Hopkins University School of Medicine, Baltimore, MD, USA. darmstr5@jhmi.edu.
Molly HolshouserJohns Hopkins University School of Medicine, Baltimore, MD, USA. molly.holshouser@gmail.com.
Bruce J KirengaMakerere University College of Heath Sciences, Kampala, Uganda. brucekirenga@yahoo.co.uk.
Maunank ShahJohns Hopkins University School of Medicine, Baltimore, MD, USA. mshah28@jhmi.edu.
Harriet Mayanja-KizzaMakerere University College of Heath Sciences, Kampala, Uganda. hmk@chs.mak.ac.ug.
Moses L JolobaMakerere University College of Heath Sciences, Kampala, Uganda. m.joloba@gmail.com.
Jerrold J EllnerBoston Medical Center, Boston University School of Medicine, Boston, MA, USA. Jerrold.Ellner@bmc.org.
Susan E DormanJohns Hopkins University School of Medicine, Baltimore, MD, USA. dsusan1@jhmi.edu.
Yukari C ManabeInfectious Diseases Institute, Makerere University College of Health Sciences, Kampala, Uganda. ymanabe@jhmi.edu.
Makerere University · UGJohns Hopkins Medicine · USJohns Hopkins University · USBoston Medical Center · USInfectious Diseases Institute · UG

Funding

Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Bryan Lau · 2012 to 2026
$67.0M
Medical Education for Services to All Ugandans (MESAU)R24TW008886 · FIC · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI SEWANKAMBO, NELSON K · 2010 to 2015
$9.2M
HIV Co-infections in Uganda: TB, Cryptococcus, and Viral Hepatitis.D43TW009771 · FIC · JOHNS HOPKINS UNIVERSITY · PI CASTELNUOVO, BARBARA, KAMBUGU, ANDREW DDUNGU · 2014 to 2023
$3.3M
Multidisciplinary Clinical Research and Mentoring in Tuberculosis DiagnosticsK24AI104830 · NIAID · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DORMAN, SUSAN E · 2015 to 2019
$790k
FIC NIH HHS D43 TW009771FIC NIH HHS R24 TW008886NIAID NIH HHS K24 AI104830NIAID NIH HHS P30 AI094189
6 · The paper itself

Abstract

backgroundSputum smear microscopy for tuberculosis (TB) diagnosis lacks sensitivity in HIV-infected symptomatic patients and increases the likelihood that mycobacterial infections particularly disseminated TB will be missed; delays in diagnosis can be fatal. Given the duration for MTB growth in blood culture, clinical predictors of MTB bacteremia may improve early diagnosis of mycobacteremia. We describe the predictors and mortality outcome of mycobacteremia among HIV-infected sputum smear-negative presumptive TB patients in a high prevalence HIV/TB setting.

methodsBetween January and November 2011, all consenting HIV-infected adults suspected to have TB (presumptive TB) were consecutively enrolled. Diagnostic assessment included sputum smear microscopy, urine Determine TB lipoarabinomannan (LAM) antigen test, mycobacterial sputum and blood cultures, chest X-ray, and CD4 cell counts in addition to clinical and socio-demographic data. Patients were followed for 12 months post-enrolment.

resultsOf 394 sputum smear-negative participants [female, 63.7%; median age (IQR) 32 (28-39) years], 41/394 (10.4%) had positive mycobacterial blood cultures (mycobacteremia); all isolates were M. tuberculosis (MTB). The median CD4 cell count was significantly lower among patients with mycobacteremia when compared with those without (CD4 31 versus 122 cells/μL, p < 0.001). In a multivariate analysis, male gender [OR 3.4, 95%CI (1.4-7.6), p = 0.005], CD4 count <100 cells/μL [OR 3.1, 95% CI (1.1-8.6), p = 0.030] and a positive lateral flow urine TB LAM antigen test [OR 15.3, 95%CI (5.7-41.1), p < 0.001] were significantly associated with mycobacteremia. At 12 months of follow-up, a trend towards increased mortality was observed in patients that were MTB blood culture positive (35.3%) compared with those that were MTB blood culture negative (23.3%) (p = 0.065).

conclusionsMycobacteremia occurred in 10% of smear-negative patients and was associated with higher mortality compared with smear-negative patients without mycobacteremia. Advanced HIV disease (CD4 < 100 cells/mm(3)), male gender and positive lateral flow urine TB LAM test predicted mycobacteremia in HIV-infected smear-negative presumptive TB patients in this high prevalence TB/HIV setting.

Indexed as

AdultCD4 Lymphocyte CountCytodiagnosisFemaleHIV InfectionsHumansMaleMycobacterium tuberculosisPrevalencePrognosisRisk FactorsSensitivity and SpecificitySputumTuberculosisUganda

Identifiers

PMID25888317
PMCPMC4332438
OpenAlexW2005410942

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.