Evidence map›Paper›PMID 28166728›Full record

ArticleBMC infectious diseases2017

Why being an expert - despite xpert -remains crucial for children in high TB burden settings.

Jason M Bacha, Katherine Ngo, Petra Clowes, Heather R Draper, Elias N Ntinginya, Andrew DiNardo, Chacha Mangu, Issa Sabi, Bariki Mtafya, Anna M Mandalakas

Abstract read
In one paragraph

Article in BMC infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Rapid detection of Mycobacterium tuberculosis in children using blood and urine specimens.Revista da Sociedade Brasileira de Medicina Tropical · 2020
    Article
  14. Quality matters: Redefining child TB care with an emphasis on quality.Journal of clinical tuberculosis and other mycobacterial diseases · 2019
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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

10 authors.

Jason M BachaBaylor College of Medicine Children's Foundation - Tanzania, Centre of Excellence at Mbeya Zonal Referral Hospital, Mbeya, Tanzania. bacha@bcm.edu.
Katherine NgoThe Global Tuberculosis Program, Texas Children's Hospital, Global and Immigrant Health, Department of Pediatrics Baylor College of Medicine, Houston, TX, 77030, USA.
Petra ClowesNational Institute of Medical Research-Mbeya Medical Research Centre, Mbeya, Tanzania.
Heather R DraperThe Global Tuberculosis Program, Texas Children's Hospital, Global and Immigrant Health, Department of Pediatrics Baylor College of Medicine, Houston, TX, 77030, USA.
Elias N NtinginyaNational Institute of Medical Research-Mbeya Medical Research Centre, Mbeya, Tanzania.
Andrew DiNardoThe Global Tuberculosis Program, Texas Children's Hospital, Global and Immigrant Health, Department of Pediatrics Baylor College of Medicine, Houston, TX, 77030, USA.
Chacha ManguNational Institute of Medical Research-Mbeya Medical Research Centre, Mbeya, Tanzania.
Issa SabiNational Institute of Medical Research-Mbeya Medical Research Centre, Mbeya, Tanzania.
Bariki MtafyaNational Institute of Medical Research-Mbeya Medical Research Centre, Mbeya, Tanzania.
Anna M MandalakasThe Global Tuberculosis Program, Texas Children's Hospital, Global and Immigrant Health, Department of Pediatrics Baylor College of Medicine, Houston, TX, 77030, USA.

Funding

Virology CoreP30AI036211 · NIAID · BAYLOR COLLEGE OF MEDICINE · PI BUTEL, JANET S · 1994 to 2015
$21.7M
NIAID NIH HHS P30 AI036211
6 · The paper itself

Abstract

backgroundAs access to Xpert expands in high TB-burden settings, its performance against clinically diagnosed TB as a reference standard provides important insight as the majority of childhood TB is bacteriologically unconfirmed. We aim to describe the characteristics and outcomes of children with presumptive TB and TB disease, and assess performance of Xpert under programmatic conditions against a clinical diagnosis of TB as a reference standard.

methodsRetrospective review of children evaluated for presumptive TB in Mbeya, Tanzania. Baseline characteristics were compared by TB disease status and, for patients diagnosed with TB, by TB confirmation status using Wilcoxon rank sum test for continuous variables and the Chi-square test for categorical variables. Sensitivity and specificity were calculated to assess the performance of Xpert, smear, and culture against clinical TB. Kappa statistics were calculated to assess agreement between Xpert and smear to culture.

resultsAmong children (N = 455) evaluated for presumptive TB, 70.3% (320/455) had Xpert and 62.8% (286/455) had culture performed on sputa. 34.5% (157/455) were diagnosed with TB: 80.3% (126/157) pulmonary TB, 13.4% (21/157) bacteriologically confirmed, 53.5% (84/157) HIV positive, and 48.4% (76/157) inpatients. Compared to the reference standard of clinical diagnosis, sensitivity of Xpert was 8% (95% CI 4-15), smear 6% (95% CI 3-12) and culture 16% (95% CI 9-24), and did not differ based on patient disposition, nutrition or HIV status.

conclusionDespite access to Xpert, the majority of children with presumptive TB were treated based on clinical diagnosis. Reflecting the reality of clinical practice in resource limited settings, new diagnostics such as Xpert serve as important adjunctive tests but will not obviate the need for astute clinicians and comprehensive diagnostic algorithms.

Indexed as

ChildChild, PreschoolFemaleHIV SeropositivityHumansInfantInfant, NewbornMaleMycobacterium tuberculosisNutritional StatusReagent Kits, DiagnosticRetrospective StudiesSensitivity and SpecificitySputumTanzaniaTuberculosisReagent Kits, DiagnosticChildhood TBClinical diagnosisDiagnostic test performanceTanzania

Identifiers

PMID28166728
PMCPMC5294844

What OpenQuestion holds

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LicenceCC BY
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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.