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      Xpert MTB/RIF and Xpert MTB/RIF Ultra assays for active tuberculosis and rifampicin resistance in children

      systematic-review

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          Abstract

          Background

          Every year, at least one million children become ill with tuberculosis and around 200,000 children die. Xpert MTB/RIF and Xpert Ultra are World Health Organization (WHO)‐recommended rapid molecular tests that simultaneously detect tuberculosis and rifampicin resistance in adults and children with signs and symptoms of tuberculosis, at lower health system levels. To inform updated WHO guidelines on molecular assays, we performed a systematic review on the diagnostic accuracy of these tests in children presumed to have active tuberculosis.

          Objectives

          Primary objectives

          • To determine the diagnostic accuracy of Xpert MTB/RIF and Xpert Ultra for (a) pulmonary tuberculosis in children presumed to have tuberculosis; (b) tuberculous meningitis in children presumed to have tuberculosis; (c) lymph node tuberculosis in children presumed to have tuberculosis; and (d) rifampicin resistance in children presumed to have tuberculosis

          ‐ For tuberculosis detection, index tests were used as the initial test, replacing standard practice (i.e. smear microscopy or culture)

          ‐ For detection of rifampicin resistance, index tests replaced culture‐based drug susceptibility testing as the initial test

          Secondary objectives

          • To compare the accuracy of Xpert MTB/RIF and Xpert Ultra for each of the four target conditions

          • To investigate potential sources of heterogeneity in accuracy estimates

          ‐ For tuberculosis detection, we considered age, disease severity, smear‐test status, HIV status, clinical setting, specimen type, high tuberculosis burden, and high tuberculosis/HIV burden

          ‐ For detection of rifampicin resistance, we considered multi‐drug‐resistant tuberculosis burden

          • To compare multiple Xpert MTB/RIF or Xpert Ultra results (repeated testing) with the initial Xpert MTB/RIF or Xpert Ultra result

          Search methods

          We searched the Cochrane Infectious Diseases Group Specialized Register, MEDLINE, Embase, Science Citation Index, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), Scopus, the WHO International Clinical Trials Registry Platform, ClinicalTrials.gov, and the International Standard Randomized Controlled Trials Number (ISRCTN) Registry up to 29 April 2019, without language restrictions.

          Selection criteria

          Randomized trials, cross‐sectional trials, and cohort studies evaluating Xpert MTB/RIF or Xpert Ultra in HIV‐positive and HIV‐negative children younger than 15 years. Reference standards comprised culture or a composite reference standard for tuberculosis and drug susceptibility testing or MTBDR plus (molecular assay for detection of Mycobacterium tuberculosis and drug resistance) for rifampicin resistance. We included studies evaluating sputum, gastric aspirate, stool, nasopharyngeal or bronchial lavage specimens (pulmonary tuberculosis), cerebrospinal fluid (tuberculous meningitis), fine needle aspirates, or surgical biopsy tissue (lymph node tuberculosis).

          Data collection and analysis

          Two review authors independently extracted data and assessed study quality using the Quality Assessment of Studies of Diagnostic Accuracy ‐ Revised (QUADAS‐2). For each target condition, we used the bivariate model to estimate pooled sensitivity and specificity with 95% confidence intervals (CIs). We stratified all analyses by type of reference standard. We assessed certainty of evidence using the GRADE approach.

          Main results

          For pulmonary tuberculosis, 299 data sets (68,544 participants) were available for analysis; for tuberculous meningitis, 10 data sets (423 participants) were available; for lymph node tuberculosis, 10 data sets (318 participants) were available; and for rifampicin resistance, 14 data sets (326 participants) were available. Thirty‐nine studies (80%) took place in countries with high tuberculosis burden. Risk of bias was low except for the reference standard domain, for which risk of bias was unclear because many studies collected only one specimen for culture.

          Detection of pulmonary tuberculosis

          For sputum specimens, Xpert MTB/RIF pooled sensitivity (95% CI) and specificity (95% CI) verified by culture were 64.6% (55.3% to 72.9%) (23 studies, 493 participants; moderate‐certainty evidence) and 99.0% (98.1% to 99.5%) (23 studies, 6119 participants; moderate‐certainty evidence). For other specimen types (nasopharyngeal aspirate, 4 studies; gastric aspirate, 14 studies; stool, 11 studies), Xpert MTB/RIF pooled sensitivity ranged between 45.7% and 73.0%, and pooled specificity ranged between 98.1% and 99.6%.

          For sputum specimens, Xpert Ultra pooled sensitivity (95% CI) and specificity (95% CI) verified by culture were 72.8% (64.7% to 79.6%) (3 studies, 136 participants; low‐certainty evidence) and 97.5% (95.8% to 98.5%) (3 studies, 551 participants; high‐certainty evidence). For nasopharyngeal specimens, Xpert Ultra sensitivity (95% CI) and specificity (95% CI) were 45.7% (28.9% to 63.3%) and 97.5% (93.7% to 99.3%) (1 study, 195 participants).

          For all specimen types, Xpert MTB/RIF and Xpert Ultra sensitivity were lower against a composite reference standard than against culture.

          Detection of tuberculous meningitis

          For cerebrospinal fluid, Xpert MTB/RIF pooled sensitivity and specificity, verified by culture, were 54.0% (95% CI 27.8% to 78.2%) (6 studies, 28 participants; very low‐certainty evidence) and 93.8% (95% CI 84.5% to 97.6%) (6 studies, 213 participants; low‐certainty evidence).

          Detection of lymph node tuberculosis

          For lymph node aspirates or biopsies, Xpert MTB/RIF pooled sensitivity and specificity, verified by culture, were 90.4% (95% CI 55.7% to 98.6%) (6 studies, 68 participants; very low‐certainty evidence) and 89.8% (95% CI 71.5% to 96.8%) (6 studies, 142 participants; low‐certainty evidence).

          Detection of rifampicin resistance

          Xpert MTB/RIF pooled sensitivity and specificity were 90.0% (67.6% to 97.5%) (6 studies, 20 participants; low‐certainty evidence) and 98.3% (87.7% to 99.8%) (6 studies, 203 participants; moderate‐certainty evidence).

          Authors' conclusions

          We found Xpert MTB/RIF sensitivity to vary by specimen type, with gastric aspirate specimens having the highest sensitivity followed by sputum and stool, and nasopharyngeal specimens the lowest; specificity in all specimens was > 98%. Compared with Xpert MTB/RIF, Xpert Ultra sensitivity in sputum was higher and specificity slightly lower. Xpert MTB/RIF was accurate for detection of rifampicin resistance. Xpert MTB/RIF was sensitive for diagnosing lymph node tuberculosis. For children with presumed tuberculous meningitis, treatment decisions should be based on the entirety of clinical information and treatment should not be withheld based solely on an Xpert MTB/RIF result. The small numbers of studies and participants, particularly for Xpert Ultra, limits our confidence in the precision of these estimates.

          Plain language summary

          Xpert tests for active tuberculosis in children

          Why is improving the diagnosis of pulmonary tuberculosis important?

          In 2018, at least one million children became ill with tuberculosis and around 200,000 died. When detected early and effectively treated, tuberculosis is largely curable. Xpert MTB/RIF and Xpert Ultra are World Health Organization‐recommended tests that simultaneously detect tuberculosis and rifampicin resistance in adults and children with tuberculosis symptoms. Rifampicin is an important anti‐tuberculosis drug. Not recognizing tuberculosis early may result in delayed diagnosis and treatment, severe illness, and death. A false tuberculosis diagnosis may result in anxiety and unnecessary treatment.

          What is the aim of this review?

          To determine the accuracy of tests in symptomatic children for diagnosing pulmonary tuberculosis, tuberculous meningitis, lymph node tuberculosis, and rifampicin resistance.

          What was studied in this review?

          Xpert MTB/RIF and Xpert Ultra, with results measured against culture and a composite reference standard (benchmarks), recognizing that neither reference is perfect in children.

          What are the main results in this review?

          A total of 49 studies were included. For pulmonary tuberculosis, we analysed 299 data sets including information describing nearly 70,000 children.

          For a population of 1000 children:

          Xpert MTB/RIF

          ‐ where 100 have pulmonary tuberculosis in sputum (by culture), 74 would be Xpert MTB/RIF‐positive, of whom 9 (12%) would not have tuberculosis (false‐positives); 926 would be Xpert MTB/RIF‐negative; and 35 (4%) would have tuberculosis (false‐negatives)

          ‐ where 100 have tuberculous meningitis (by culture), 86 would be Xpert MTB/RIF‐positive, of whom 59 (69%) would not have tuberculosis (false‐positives); 914 would be Xpert MTB/RIF‐negative; and 23 (3%) would have tuberculosis (false‐negatives)

          ‐ where 100 people have lymph node tuberculosis (by culture), 142 would be Xpert MTB/RIF‐positive, of whom 97 (68%) would not have lymph node tuberculosis (false‐positives); 858 would be Xpert MTB/RIF‐negative; and 5 (1%) would have lymph node TB (false‐negatives)

          ‐ where 100 have rifampicin resistance, 108 would have Xpert MTB/RIF‐rifampicin resistance detected, of whom 18 (17%) would not have rifampicin resistance (false‐positives); 892 would have Xpert MTB/RIF‐rifampicin resistance NOT detected; and 10 (1%) would have rifampicin resistance (false‐negatives)

          Xpert Ultra

          ‐ where 100 have pulmonary tuberculosis in sputum (by culture), 100 would be Xpert Ultra‐positive, of whom 27 (27%) would not have tuberculosis (false‐positives); 900 would be Xpert Ultra‐negative; and 27 (3%) would have tuberculosis (false‐negatives)

          How confident are we in the results of this review?

          We are confident. We included many studies from different countries and settings and used two reference standards. Some studies included only children at referral centres or did not report the setting. Therefore, we could not assess how the tests would work in a primary care setting.

          What children do the results of this review apply to?

          Children with presumed pulmonary tuberculosis, tuberculous meningitis, lymph node tuberculosis, or rifampicin resistance.

          What are the implications of this review?

          The results of the review suggest Xpert tests have the potential to be used to detect tuberculosis and rifampicin resistance.

          ‐ The risk of missing a diagnosis of pulmonary tuberculosis confirmed by culture with Xpert MTB/RIF (in sputum) is low (4% of those whose Xpert MTB/RIF suggests they do not have tuberculosis) suggesting that only a small number of children with tuberculosis confirmed by culture will not receive treatment. The risk of wrongly diagnosing a child as having tuberculosis is slightly higher (12% of those whose Xpert MTB/RIF test suggests they do have tuberculosis). This may result in some of these children receiving unnecessary treatment.

          ‐ The risk of missing a diagnosis of rifampicin resistance with Xpert MTB/RIF is low (1% of those whose Xpert MTB/RIF suggests they do not have rifampicin resistance) suggesting that only a small number of children with tuberculosis will not receive the appropriate treatment. The risk of wrongly diagnosing a child as rifampicin resistance tuberculosis is higher (17% of those whose Xpert MTB/RIF test suggests they do have rifampicin resistance). This may result in some of these children receiving unnecessary treatment.

          How up‐to‐date is this review?

          To 29 April 2019.

          Related collections

          Most cited references182

          • Record: found
          • Abstract: found
          • Article: not found

          QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies.

          In 2003, the QUADAS tool for systematic reviews of diagnostic accuracy studies was developed. Experience, anecdotal reports, and feedback suggested areas for improvement; therefore, QUADAS-2 was developed. This tool comprises 4 domains: patient selection, index test, reference standard, and flow and timing. Each domain is assessed in terms of risk of bias, and the first 3 domains are also assessed in terms of concerns regarding applicability. Signalling questions are included to help judge risk of bias. The QUADAS-2 tool is applied in 4 phases: summarize the review question, tailor the tool and produce review-specific guidance, construct a flow diagram for the primary study, and judge bias and applicability. This tool will allow for more transparent rating of bias and applicability of primary diagnostic accuracy studies.
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            • Record: found
            • Abstract: found
            • Article: not found

            GRADE guidelines: 3. Rating the quality of evidence.

            This article introduces the approach of GRADE to rating quality of evidence. GRADE specifies four categories-high, moderate, low, and very low-that are applied to a body of evidence, not to individual studies. In the context of a systematic review, quality reflects our confidence that the estimates of the effect are correct. In the context of recommendations, quality reflects our confidence that the effect estimates are adequate to support a particular recommendation. Randomized trials begin as high-quality evidence, observational studies as low quality. "Quality" as used in GRADE means more than risk of bias and so may also be compromised by imprecision, inconsistency, indirectness of study results, and publication bias. In addition, several factors can increase our confidence in an estimate of effect. GRADE provides a systematic approach for considering and reporting each of these factors. GRADE separates the process of assessing quality of evidence from the process of making recommendations. Judgments about the strength of a recommendation depend on more than just the quality of evidence. Copyright © 2011 Elsevier Inc. All rights reserved.
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              • Record: found
              • Abstract: found
              • Article: not found

              Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews.

              Studies of diagnostic accuracy most often report pairs of sensitivity and specificity. We demonstrate the advantage of using bivariate meta-regression models to analyze such data. We discuss the methodology of both the summary Receiver Operating Characteristic (sROC) and the bivariate approach by reanalyzing the data of a published meta-analysis. The sROC approach is the standard method for meta-analyzing diagnostic studies reporting pairs of sensitivity and specificity. This method uses the diagnostic odds ratio as the main outcome measure, which removes the effect of a possible threshold but at the same time loses relevant clinical information about test performance. The bivariate approach preserves the two-dimensional nature of the original data. Pairs of sensitivity and specificity are jointly analyzed, incorporating any correlation that might exist between these two measures using a random effects approach. Explanatory variables can be added to the bivariate model and lead to separate effects on sensitivity and specificity, rather than a net effect on the odds ratio scale as in the sROC approach. The statistical properties of the bivariate model are sound and flexible. The bivariate model can be seen as an improvement and extension of the traditional sROC approach.
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                Author and article information

                Journal
                Cochrane Database Syst Rev
                Cochrane Database Syst Rev
                14651858
                10.1002/14651858
                The Cochrane Database of Systematic Reviews
                John Wiley & Sons, Ltd (Chichester, UK )
                1469-493X
                27 August 2020
                August 2020
                27 August 2020
                : 2020
                : 8
                : CD013359
                Affiliations
                deptThe Global Tuberculosis Program, Texas Children’s Hospital, Section of Global and Immigrant Health, Department of Pediatrics Baylor College of Medicine HoustonTexasUSA
                deptDepartment of Paediatrics Baylor College of Medicine HoustonTexasUSA
                deptTest Evaluation Research Group, Institute of Applied Health Research University of Birmingham BirminghamUK
                deptPaediatric Department Luton & Dunstable University Hospital NHS Foundation Trust LutonUK
                deptHealth Section UNICEF New YorkNew YorkUSA
                deptHonorary Research Fellow Department of Clinical Sciences, Liverpool School of Tropical Medicine LiverpoolUK
                Article
                CD013359.pub2 CD013359
                10.1002/14651858.CD013359.pub2
                8078611
                32853411
                af7802eb-2d8f-44d5-8a27-fa583535c7c6
                Copyright © 2020 The Authors. Cochrane Database of Systematic Reviews published by John Wiley & Sons, Ltd. on behalf of The Cochrane Collaboration.

                This is an open access article under the terms of the Creative Commons Attribution-Non-Commercial Licence, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                Categories
                Child health
                Diagnosis
                Infectious disease
                Tuberculosis

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