Evidence map›Paper›PMID 24808236›Full record

ArticleJournal of clinical microbiology2014

Prospective cross-sectional evaluation of the small membrane filtration method for diagnosis of pulmonary tuberculosis.

Edward Jones-López, Yukari C Manabe, Moises Palaci, Carol Kayiza, Derek Armstrong, Lydia Nakiyingi, Willy Ssengooba, Mary Gaeddert, Rachel Kubiak, Pedro Almeida Júnior and 5 more

Abstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 3 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

7 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Evaluation of a modified small membrane filtration method.Journal of clinical microbiology · 2014
    Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Edward Jones-LópezSection of Infectious Diseases, Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, Massachusetts, USA edward.jones@bmc.org.
Yukari C ManabeInfectious Diseases Institute, Makerere University College of Health Sciences, Kampala, Uganda Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Moises PalaciNúcleo de Doenças Infecciosas, Universidade Federal do Espírito Santo, Vitória, Brazil.
Carol KayizaDepartment of Microbiology, Makerere University College of Health Sciences, Kampala, Uganda.
Derek ArmstrongDivision of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Lydia NakiyingiInfectious Diseases Institute, Makerere University College of Health Sciences, Kampala, Uganda.
Willy SsengoobaDepartment of Microbiology, Makerere University College of Health Sciences, Kampala, Uganda.
Mary GaeddertSection of Infectious Diseases, Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, Massachusetts, USA.
Rachel KubiakSection of Infectious Diseases, Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, Massachusetts, USA.
Pedro Almeida JúniorNúcleo de Doenças Infecciosas, Universidade Federal do Espírito Santo, Vitória, Brazil.
David AllandDivision of Infectious Diseases, Department of Medicine, New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, New Jersey, USA.
Reynaldo DietzeNúcleo de Doenças Infecciosas, Universidade Federal do Espírito Santo, Vitória, Brazil.
Moses JolobaDepartment of Microbiology, Makerere University College of Health Sciences, Kampala, Uganda.
Jerrold J EllnerSection of Infectious Diseases, Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, Massachusetts, USA.
Susan E DormanDivision of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Funding

Multidisciplinary Clinical Research and Mentoring in Tuberculosis DiagnosticsK24AI104830 · NIAID · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DORMAN, SUSAN E · 2015 to 2019
$790k
NIAID NIH HHS K24 AI104830NIAID NIH HHS N01AI90500C
6 · The paper itself

Abstract

Smear microscopy has suboptimal sensitivity, and there is a need to improve its performance since it is commonly used to diagnose tuberculosis (TB). We prospectively evaluated the diagnostic accuracy of the small membrane filtration (SMF) method, an approach that uses a vacuum manifold and is designed to concentrate bacilli onto a filter that can be examined microscopically. We enrolled hospitalized adults suspected to have pulmonary TB in Kampala, Uganda. We obtained a clinical history and three spontaneously expectorated sputum specimens for smear microscopy (direct, concentrated, and SMF), MGIT (mycobacterial growth indicator tube) 960 and Lowenstein-Jensen (LJ) cultures, and Xpert MTB/RIF testing. We performed per-specimen (primary) and per-patient analyses. From October 2012 to June 2013, we enrolled 212 patients (579 sputum specimens). The participants were mostly female (63.2%), and 81.6% were HIV infected; their median CD4 cell count was 47 cells/μl. Overall, 19.0%, 20.4%, 27.1%, 25.2%, and 25.9% of specimens tested positive by direct smear, concentrated smear, MGIT culture, LJ culture, and Xpert test, respectively. In the per-specimen analysis, the sensitivity of the SMF method (48.5%; 95% confidence interval [CI], 37.4 to 59.6) was lower than those of direct smear (60.9%; 51.4 to 70.5 [P = 0.0001]) and concentrated smear (63.3%; 53.6 to 73.1 [P < 0.0001]). Subgroup analyses showed that SMF performed poorly in specimens having a low volume or low bacterial load. The SMF method performed poorly compared to standard smear techniques and was sensitive to sample preparation techniques. The optimal laboratory SMF protocol may require striking a fine balance between sample dilution and filtration failure rate.

Indexed as

AdolescentAdultAgedAged, 80 and overBacteriological TechniquesCross-Sectional StudiesFemaleFiltrationHumansMaleMembranesMicroscopyMiddle AgedMycobacterium tuberculosisProspective StudiesSensitivity and Specificity

Identifiers

PMID24808236
PMCPMC4097702

What OpenQuestion holds

Textmetadata
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.