Evidence map›Paper›PMID 25222866›Full record

ArticlePloS one2014

Clinical utility of a novel molecular assay in various combination strategies with existing methods for diagnosis of HIV-related tuberculosis in Uganda.

Willy Ssengooba, Lydia Nakiyingi, Derek T Armstrong, Frank G Cobelens, David Alland, Yukari C Manabe, Susan E Dorman, Jerrold J Ellner, Moses L Joloba

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
0.5field-weighted citation impact, top 35% 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, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. 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

9 authors at 7 institutions in 3 countries.

Willy SsengoobaDepartment of Medical Microbiology, College of Health Sciences, Makerere University, Kampala, Uganda; Infectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda; Department of Global Health and Amsterdam Institute of Global Health and Development, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands.
Lydia NakiyingiInfectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda.
Derek T ArmstrongJohns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Frank G CobelensDepartment of Global Health and Amsterdam Institute of Global Health and Development, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands; KNCV Tuberculosis Foundation, The Hague, Netherlands.
David AllandBoston Medical Center, Boston University School of Medicine, Boston, Massachusetts, United States of America.
Yukari C ManabeInfectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda; Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Susan E DormanJohns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Jerrold J EllnerBoston Medical Center, Boston University School of Medicine, Boston, Massachusetts, United States of America.
Moses L JolobaDepartment of Medical Microbiology, College of Health Sciences, Makerere University, Kampala, Uganda; Infectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda.
Boston University · USJohns Hopkins University · USAcademic Medical Center · NLAmsterdam Institute for Global Health and Development · NLInfectious Diseases Institute · UGJohns Hopkins Medicine · USMakerere University · UG

Funding

Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Richard E. Chaisson · 2012 to 2026
$67.0M
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 TW009771NIAID NIH HHS HHSN272200900050CNIAID NIH HHS K24 AI104830NIAID NIH HHS P30 AI094189PHS HHS HHSN2722000900050C
6 · The paper itself

Abstract

backgroundLow income, high-tuberculosis burden, countries are considering selective deployment of Xpert MTB/RIF assay (Xpert) due to high cost per test. We compared the diagnostic gain of the Xpert add-on strategy with Xpert replacement strategy for pulmonary tuberculosis diagnosis among HIV-infected adults to inform its implementation.

methodsThe first diagnostic sputum sample of 424 HIV-infected adults (67% with CD4 counts ≤200/mm3) suspected for tuberculosis was tested by direct Ziehl-Neelsen (DZN) and direct fluorescent microscopy (DFM); concentrated fluorescent microscopy (CFM); Lowenstein-Jensen (LJ) and Mycobacterial Growth Indicator Tube (MGIT) culture; and Xpert. Overall diagnostic yield and sensitivity were calculated using MGIT as reference comparator. The sensitivity of Xpert in an add-on strategy was calculated as the number of smear negative but Xpert positive participants among MGIT positive participants.

resultsA total of 123 (29.0%) participants were MGIT culture positive for Mycobacterium tuberculosis. The sensitivity (95% confidence interval) was 31.7% (23.6-40.7%) for DZN, 35.0% (26.5-44.0%) for DFM, 43.9% (34.9-53.1%) for CFM, 76.4% (67.9-83.6) for Xpert and 81.3% (73.2-87.7%) for LJ culture. Add-on strategy Xpert showed an incremental sensitivity of 44.7% (35.7-53.9%) when added to DZN, 42.3% (33.4-51.5%) to DFM and 35.0% (26.5-44.0%) to CFM. This translated to an overall sensitivity of 76.4%, 77.3% and 79.0% for add-on strategies based on DZN, DFM and CFM, respectively, compared to 76.4% for Xpert done independently. From replacement to add-on strategy, the number of Xpert cartridges needed was reduced by approximately 10%.

conclusionsAmong HIV-infected TB suspects, doing smear microscopy prior to Xpert assay in add-on fashion only identifies a few additional TB cases.

Indexed as

AdultFemaleHIV InfectionsHumansMaleMicroscopy, FluorescenceMycobacterium tuberculosisSputumTuberculosis, Pulmonary

Identifiers

PMID25222866
PMCPMC4164637
OpenAlexW1967603374

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.