Xpert MTB/RIF assay for the diagnosis of extrapulmonary tuberculosis: a systematic review and meta-analysis
Open accessAbstract
Xpert MTB/RIF (Cepheid, Sunnyvale, CA, USA) is endorsed for the detection of pulmonary tuberculosis (TB). We performed a systematic review and meta-analysis to assess the accuracy of Xpert for the detection of extrapulmonary TB. We searched multiple databases to October 15, 2013. We determined the accuracy of Xpert compared with culture and a composite reference standard (CRS). We grouped data by sample type and performed meta-analyses using a bivariate random-effects model. We assessed sources of heterogeneity using meta-regression for predefined covariates. We identified 18 studies involving 4461 samples. Sample processing varied greatly among the studies. Xpert sensitivity differed substantially between sample types. In lymph node tissues or aspirates, Xpert pooled sensitivity was 83.1% (95% CI 71.4-90.7%) versus culture and 81.2% (95% CI 72.4-87.7%) versus CRS. In cerebrospinal fluid, Xpert pooled sensitivity was 80.5% (95% CI 59.0-92.2%) against culture and 62.8% (95% CI 47.7-75.8%) against CRS. In pleural fluid, pooled sensitivity was 46.4% (95% CI 26.3-67.8%) against culture and 21.4% (95% CI 8.8-33.9%) against CRS. Xpert pooled specificity was consistently >98.7% against CRS across different sample types. Based on this systematic review, the World Health Organization now recommends Xpert over conventional tests for diagnosis of TB in lymph nodes and other tissues, and as the preferred initial test for diagnosis of TB meningitis.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
17 of 40 cited sources checked · 7 supported · 3 flagged · accuracy not yet measured
- Premisecitation
In diagnostic accuracy studies, an imperfect reference standard may lead to misclassification of samples.
“In diagnostic accuracy studies, an imperfect reference standard may lead to a misclassification of samples [33,34].”
Quote in the paperSubstantial claim1 of 2 sources checked - Premisecitation
For lymph node TB, culture of an aspirate has a sensitivity of 60-70%.
“For lymph node TB, culture of an aspirate has a sensitivity of 60-70% [4].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [4] source
The Background (p. 2) reports acid-fast bacilli detection from fine-needle aspirates of up to 60% and positive culture rates of 77–90% for biopsy samples. Neither is a sensitivity estimate for culture of a lymph-node aspirate. Searches for aspirate-culture sensitivity and 60–70% found no passage establishing the claimed figure; our copy is truncated. (LLM, conf=0.72)
Experimental — accuracy not yet measured
- Premisecitation
A composite reference standard itself may have reduced specificity that could result in apparent false-negative Xpert results, leading to an underestimation of Xpert's true sensitivity.
“However, a CRS itself may have reduced specificity that could result in apparent false-negative Xpert results, leading to an underestimation of Xpert's true sensitivity [35,36].”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [35] source
The indexed text appears to be a different paper: its references (p. 4) list Reitsma et al. (2009) rather than presenting that paper’s text. Although its CRS section (p. 3) discusses diagnostic-test sensitivity, this copy cannot establish whether the cited Reitsma review supports the claimed chain from reduced CRS specificity to underestimated Xpert sensitivity. Searches for CRS specificity and false-negative results did not resolve the mismatch. (LLM, conf=0.78)
Experimental — accuracy not yet measured - cites [36] source
The Introduction (page unavailable) says that treating an imperfect reference test as perfect can underestimate an index test’s sensitivity under conditional independence. Section 5 (page unavailable) allows specificity below 100% for reference standards that include culture combined with clinical data or biopsy. The paper studies in-house NAATs, not Xpert, and does not specifically describe apparent false-negative Xpert results. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Interpretationcitation
The results for Xpert confirm prior findings that NAATs have a potential role in the diagnosis of TB from CSF and lymph node samples.
“Prior data have suggested a potential role for NAATs in the diagnosis of TB from CSF and lymph node samples, and the results for Xpert here confirm these findings [4,6].”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [4] source
The Results on tuberculous meningitis (p. 86) say NAATs can reliably rule in TB in CSF specimens, supporting a potential diagnostic role there. Our available passages identify a section on NAATs for lymphatic TB (p. 95), but do not provide its findings, so they do not establish the claimed role for lymph node samples. The Xpert results are the citing authors’ own findings, not a finding attributed to this 2007 review. (LLM, conf=0.78)
Experimental — accuracy not yet measured - cites [6] source
- Findingown data
Sample processing varied greatly among the studies.
“Sample processing varied greatly among the studies.”
Quote in the paperNot a substantial claim
- Findingown data
Xpert sensitivity differed substantially between sample types.
“Xpert sensitivity differed substantially between sample types.”
Quote in the paperSubstantial claim - Findingown data
Accuracy estimates did not differ substantially between studies with >10% HIV-positive patients and those with <10% HIV patients.
“Accuracy estimates did not differ substantially between these studies and others that included ,10% HIV patients.”
Quote in the paperNot a substantial claim - Findingown data
In pleural fluid versus culture, Xpert pooled sensitivity was 46.4% (95% CI 26.3-67.8%).
“The pooled sensitivity was 46.4% (95% CI 26.3-67.8%)”
Quote in the paperSubstantial claim - Findingown data
In pleural fluid versus composite reference standard, Xpert pooled sensitivity was 21.4% (95% CI 8.8-33.9%).
“the CRS subgroup yielded a lower sensitivity (21.4%, 95% CI 8.8-33.9%)”
Quote in the paperNot a substantial claim - Findingown data
For smear-positive samples (506 samples), a univariate analysis yielded a sensitivity of 97.4% (95% CI 95.5-99.3%) across sample types.
“For smear-positive samples (506 samples), a univariate analysis yielded a sensitivity of 97.4% (95% CI 95.5-99.3%)across sample types.”
Quote in the paperSubstantial claim - Findingown data
Six studies (598 samples) evaluated Xpert in pleural fluid versus composite reference standard.
“Six studies (598 samples) [17,18,26,28,29,31] evaluated Xpert in pleural fluid versus CRS.”
Quote in the paperSubstantial claim - Findingown data
In lymph node samples versus culture, Xpert pooled sensitivity was 83.1% (95% CI 71.4-90.7%).
“In lymph node tissues or aspirates, Xpert pooled sensitivity was 83.1% (95% CI 71.4-90.7%)versus culture”
- Also stated in: § Detection of lymph node TB · plain
“Pooled sensitivity across studies was 83.1% (95% CI 71.4-90.7%)”
Quote in the paperSubstantial claim - Also stated in: § Detection of lymph node TB · plain
- Findingown data
Only four (25%) studies used the manufacturer-recommended protocol for unprocessed sputum samples.
“Only four (25%) studies used the protocol (i.e.volume of sample included and sample reagent to sample ratio) recommended by the manufacturer [36] for unprocessed sputum samples [17,19,29,25] (table 2).”
Quote in the paperNot a substantial claim - Findingown data
14 studies (841 samples, 92 culture positive) evaluated Xpert in pleural fluid versus culture.
“14 studies [14-20, 22, 23, 26-29, 31] (841 samples in total, 92 culture positive) evaluated Xpert in pleural fluid versus culture.”
Quote in the paperSubstantial claim - Findingown data
TB prevalence based on culture ranged from 0% to 81%.
“TB prevalence (based on culture) ranged from 0% to 81%.”
Quote in the paperNot a substantial claim - Findingown data
For studies evaluating lymph node biopsy or fine-needle aspirate using a culture reference standard, Xpert sensitivity ranged from 50% to 100%.
“For studies [14-16, 19-23, 27-31] that evaluated lymph node biopsy or fine-needle aspirate using a culture reference standard (13 total, 10 with .10samples; 955 samples, 362 culture-positive), Xpert sensitivity ranged from 50% to 100% (fig.3a).”
Quote in the paperNot a substantial claim - Findingnone given
Studies were very heterogeneous, particularly among smear-negative samples.
“Studies were very heterogeneous, particularly among smear-negative samples”
Quote in the paperSubstantial claim - Findingown data
In lymph node samples versus composite reference standard, Xpert pooled sensitivity was 81.2% (95% CI 72.4-87.7%).
“In lymph node tissues or aspirates, Xpert pooled sensitivity was 83.1% (95% CI 71.4-90.7%)versus culture and 81.2% (95% CI 72.4-87.7%)versus CRS.”
- Also stated in: § AL-ATEAH [14] · plain
“Pooled sensitivity was 81.2% (95% CI 72.4-87.7%).”
Quote in the paperSubstantial claim - Also stated in: § AL-ATEAH [14] · plain
- Findingown data
Sensitivity of Xpert was higher for fresh samples (59.0%, 95% CI 41.0-76.9%) compared with frozen samples (31.4%, 95% CI 18.9-43.9%).
“A higher sensitivity was also observed for fresh samples (59.0%, 95% CI 41.0-76.9%)compared with frozen samples (31.4%, 95% CI 18.9-43.9%)”
Quote in the paperNot a substantial claim - Findingown data
In pleural fluid versus culture, Xpert pooled specificity was 99.1% (95% CI 95.2-99.8%).
“the pooled specificity was 99.1% (95% CI 95.2-99.8%).”
Quote in the paperSubstantial claim - Findingown data
Xpert sensitivity in pleural fluid versus culture varied widely (0-100%).
“Xpert sensitivity varied widely (0-100%) (fig.4a).”
Quote in the paperNot a substantial claim - Findingown data
Sensitivity of Xpert was higher in studies with a low rate of HIV co-infection (49.5%) compared with studies with >10% HIV (40.6%).
“Sensitivity was increased in studies with a low rate of HIV co-infection (49.5% compared with 40.6% in studies with .10%HIV)”
Quote in the paperNot a substantial claim - Findingown data
In cerebrospinal fluid, Xpert pooled sensitivity was 62.8% (95% CI 47.7-75.8%) against composite reference standard.
“62.8% (95% CI 47.7-75.8%)against CRS”
Quote in the paperSubstantial claim - Findingown data
In cerebrospinal fluid, Xpert pooled sensitivity was 80.5% (95% CI 59.0-92.2%) against culture.
“In cerebrospinal fluid, Xpert pooled sensitivity was 80.5% (95% CI 59.0-92.2%)against culture”
Quote in the paperSubstantial claim - Findingown data
In pleural fluid versus composite reference standard, Xpert pooled specificity was 100% (95% CI 99.4-100%).
“with a slightly higher specificity of 100% (95% CI 99.4-100%) (fig.4b).”
Quote in the paperNot a substantial claim - Findingown data
Five studies assessed Xpert in lymph node samples against a composite reference standard.
“Five studies [21,28,[29][30][31] assessed Xpert in lymph node samples against a CRS (fig.3b).”
Quote in the paperNot a substantial claim - Findingnone given
The outliers at the lower and upper ends of the pleural fluid sensitivity range were studies with few culture-confirmed TB cases.
“The outliers at the lower and upper ends of the range were studies with few culture-confirmed TB cases.”
Quote in the paperNot a substantial claim - Findingown data
Pooled specificity of Xpert in CSF versus CRS was 98.8% (95% CI 95.7-100%).
“Pooled sensitivity was 62.8% (95% CI 47.7-75.8%)and pooled specificity was 98.8 (95% CI 95.7-100%).”
Quote in the paperNot a substantial claim - Findingown data
Pooled sensitivity of Xpert in CSF against culture was 80.5% (95% CI 59.0-92.2%).
“Pooled sensitivity was 80.5% (95% CI 59.0-92.2%)and pooled specificity was 97.8% (95% CI 95.2-99.0%).”
Quote in the paperSubstantial claim - Findingnone given
Xpert does not reach the sensitivity of culture.
“While Xpert does not reach the sensitivity of culture, it could improve the diagnosis of CSF and lymph node TB in places where culture or other diagnostic tests are not available or where a rapid diagnosis of TB is necessary (as might be the case for TB meningitis).”
Quote in the paperSubstantial claim - Findingown data
Pooled sensitivity of Xpert in CSF versus CRS was 62.8% (95% CI 47.7-75.8%).
“Pooled sensitivity was 62.8% (95% CI 47.7-75.8%)and pooled specificity was 98.8 (95% CI 95.7-100%).”
Quote in the paperSubstantial claim - Findingown data
The sensitivity of Xpert in smear-positive samples across sample types was 97.4% (95% CI 95.5-99.3%).
“The high sensitivity (97.4%, 95% CI 95.5-99.3%) of Xpert in smear-positive samples across sample types”
Quote in the paperSubstantial claim - Findingnone given
44% of studies were performed in low-prevalence settings.
“However, 44% of studies were performed in low-prevalence settings.”
Quote in the paperSubstantial claim - Findingown data
Pooled specificity of Xpert in CSF against culture was 97.8% (95% CI 95.2-99.0%).
“Pooled sensitivity was 80.5% (95% CI 59.0-92.2%)and pooled specificity was 97.8% (95% CI 95.2-99.0%).”
Quote in the paperSubstantial claim - Findingown data
A concentration step in CSF processing was associated with higher Xpert sensitivity (84.2%, 95% CI 78.3-90.1%) compared with unconcentrated samples (51.3%, 95% CI 35.5-67.1%).
“However, a concentration step in the processing of the sample (table 2) appeared to enhance the sensitivity of Xpert (84.2% (95% CI 78.3-90.1%)versus 51.3% (95% CI 35.5-67.1%)for unconcentrated samples”
Quote in the paperSubstantial claim - Findingown data
The proportion of noninterpretable results for Xpert in nonrespiratory samples was 1.2%.
“and the low proportion of noninterpretable results (1.2%) support the use of the test in nonrespiratory samples in principle.”
Quote in the paperSubstantial claim - Findingown data
Sensitivity of Xpert in CSF against culture varied widely, ranging from 51% to 100%.
“Sensitivity varied widely (51-100%), with the study by VADWAI et al. [29] (sensitivity none out of 196 samples, three false negatives) considered an outlier (fig.5a).”
Quote in the paperNot a substantial claim - Findingown data
A concentration step in CSF processing was associated with higher specificity (98.0%, 95% CI 96.7-99.2%) compared with unconcentrated samples (94.6%, 95% CI 90.9-98.2%).
“specificity 98.0% (95% CI 96.7-99.2%)versus 94.6% (95% CI 90.9-98.2%)for unconcentrated samples).”
Quote in the paperSubstantial claim - Interpretationreasoning
A composite reference standard that classifies TB based on a positive result of one out of several tests or clinical components may sometimes reclassify false positives of Xpert as true positives and thus lead to an increased estimate of Xpert specificity.
“A CRS that classifies TB based on a positive result of one out of several tests or clinical components may sometimes reclassify false positives of Xpert (identified as non-TB using culture) as true positives (TB cases) and thus lead to an increased (i.e. more accurate) estimate of Xpert specificity.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Xpert correctly identifies TB in a sample with a negative culture.
- Premisereasoning
Culture is an imperfect reference standard for extrapulmonary tuberculosis due to the paucibacillary nature of the disease.
“Culture is an imperfect reference standard for EPTB due to the paucibacillary nature of the disease.”
Quote in the paperSubstantial claim - Interpretationreasoning
Combining studies to obtain accuracy estimates of Xpert for extrapulmonary tuberculosis (all forms combined) was not considered meaningful.
“therefore, combining studies to obtain accuracy estimates of Xpert for EPTB (all forms combined) was not considered to be meaningful.”
Quote in the paperSubstantial claim - Study design and conductown data
The estimates for all subgroup analyses were imprecise, with wide and overlapping confidence intervals.
“however, the estimates for all of these subgroup analyses were imprecise and the confidence intervals were wide and overlapping.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Comparison of accuracy estimates based on culture and composite reference standard should provide a plausible range for sensitivity and specificity.
“Therefore, a comparison of the accuracy estimates based on these two reference standards, culture and CRS, should provide a plausible range for sensitivity and specificity.”
Quote in the paperSubstantial claim - Study design and conductnone given
The meta-analysis was limited by the small number of studies for the different sample types, particularly those using a CRS.
“In addition, the meta-analysis was limited by the small number of studies for the different sample types, particularly those using a CRS.”
Quote in the paperSubstantial claim - Interpretationcitation
The review findings have informed an updated WHO policy on Xpert for extrapulmonary TB (EPTB).
“Our review findings have informed an updated WHO policy on Xpert for EPTB [11].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [11] World Health Organization. Automated real-time nucleic acid amplification technology for rapid and simultaneous detection of tuberculosis and rifampicin resistance: Xpert MTB/RIF system for the diagnosis of pulmonary and extrapulmonary TB in adults and children. Geneva, WHO, 2013.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Study design and conductown data
Sensitivity analyses across all sample types did not substantially affect the results.
“Sensitivity analyses across all samples types did not substantially affect the results (online supplementary material).”
Quote in the paperNot a substantial claim - Interpretationreasoning
Xpert could improve the diagnosis of CSF and lymph node TB in places where culture or other diagnostic tests are not available or where a rapid diagnosis of TB is necessary.
“While Xpert does not reach the sensitivity of culture, it could improve the diagnosis of CSF and lymph node TB in places where culture or other diagnostic tests are not available or where a rapid diagnosis of TB is necessary (as might be the case for TB meningitis).”
Quote in the paperSubstantial claim - Interpretationreasoning
Because of heterogeneity, the pooled estimates must be interpreted with caution.
“Because of this heterogeneity, the pooled estimates must be interpreted with caution.”
Quote in the paperSubstantial claim - Study design and conductnone given
The composite reference standard (CRS) differed between studies.
“Also, the CRS differed between studies.”
Quote in the paperSubstantial claim - Study design and conductown data
Low event rates (confirmed TB cases) limited the precision of the sensitivity estimates.
“In addition, low event rates (i.e.confirmed TB cases) limited the precision of our sensitivity estimates.”
Quote in the paperSubstantial claim - Interpretationown data
Xpert sensitivity for TB detection in nonrespiratory samples varied widely across different sample types.
“Our systematic review demonstrated that Xpert sensitivity for TB detection in nonrespiratory samples varied widely across different sample types.”
Quote in the paperSubstantial claim
- May combine two claims. 35
- Classified as probably not a substantial claim. 35
- The quote only partly states this claim. 4
May combine two claims.
Findingcitation13 studies (839 samples; 10 with >10 samples, 159 culture positive) evaluated Xpert in CSF against culture.
“13 studies (839 samples; 10 with .10samples, 159 culture positive) evaluated Xpert in CSF against culture [14-16, 19, 20, 22-25, 27-29, 31].”
Quote in the paperSubstantial claim5 of 10 sources checked- cites [14] Al-Ateah, 2012, Evaluation of direct detection of Mycobacterium tuberculosis complex in respiratory and non-respiratory clinical specimens using the Cepheid Gene Xpert® system, Saudi Med J source
- cites [15] source
The Materials and Methods (Specimen processing; page unavailable) lists all specimen types studied, including 37 nonrespiratory specimens, but no CSF. This paper evaluated Xpert against culture in other specimen types, so it does not belong among the cited studies evaluating Xpert in CSF. The aggregate counts for the 13 studies cannot be assessed from this paper alone. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured - cites [16] source
- cites [19] source
- cites [20] source
- cites [22] source
- cites [23] source
- cites [24] source
- cites [25] source
- cites [27] Safianowska, 2012, Zastosowanie wybranych komercyjnych testow molekularnych w mikrobiologicznej diagnostyce gruzlicy [Two selected commercially based nucleic acid amplification tests for the diagnosis of tuberculosis], Pneumonol Alergol Pol
May combine two claims.
Findingown dataThe study by Vadwai et al. [29] had zero sensitivity (none out of 196 samples, three false negatives) and was considered an outlier.
“with the study by VADWAI et al. [29] (sensitivity none out of 196 samples, three false negatives) considered an outlier (fig.5a).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [29] source
The Results report Xpert sensitivity of 81% (228/283) against the composite reference standard and 83% (125/150) against culture, contrary to the attributed zero sensitivity. The paper does not report the claimed 196-sample figure. Calling the study an outlier appears to be the citing authors’ assessment, not a finding attributed to Vadwai et al. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
May combine two claims.
Findingown dataNoninterpretable results for Xpert were reported in three studies, with only one study [28] having >2% (3.6%).
“Noninterpretable results for Xpert were reported in three studies, with only one study [28] having .2%(i.e.3.6%).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [28] source
The Results section reports 17 indeterminate Xpert results, or 1.1% of samples—not the attributed 3.6% or a rate above 2%. This paper cannot establish how many other studies reported noninterpretable results. (LLM, conf=0.90)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationExisting tests for the diagnosis of extrapulmonary tuberculosis are limited in accuracy and time to diagnosis, and often require invasive procedures and special expertise.
“Existing tests for the diagnosis of EPTB are limited in accuracy and time to diagnosis, and often require invasive procedures and special expertise.”
Quote in the paperSubstantial claim1 of 3 sources checked- cites [4] source
The Background (pp. 2–3, 5) describes limited accuracy in extrapulmonary TB diagnosis, cultures that can take weeks, and diagnostic sampling by aspiration or biopsy. It does not establish that these tests often require special expertise, so that part of the claim is unsupported. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [5] source
- cites [6] source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationXpert MTB/RIF is a rapid, automated molecular test with high accuracy for pulmonary TB detection (sensitivity 89%, specificity 99%).
“The Xpert MTB/RIF assay (hereafter referred to as Xpert; Cepheid, Sunnyvale, CA, USA) is a rapid, automated molecular test with high accuracy for pulmonary TB detection (sensitivity 89%, specificity 99%) [7].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [7] source
The Background > Index test(s) describes Xpert as a rapid, automated molecular test, and Results > Findings characterizes its accuracy for TB detection as high. But the pooled estimates for TB detection were 88% sensitivity and 98% specificity, not the cited 89% and 99%; the 89% sensitivity reported in Abstract > Main results applies specifically to people without HIV infection. (LLM, conf=0.91)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationA protocol was developed before commencing the review, following standard guidelines.
“We developed a protocol before commencing the review, following standard guidelines [12,13].”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [12] source
The Introduction describes this paper as methodological guidance for diagnostic test accuracy reviews, drawing on the Cochrane Handbook and updating earlier guidelines. It does not say that reviewers should develop a protocol before starting, and it cannot verify the citing authors’ statement that they did so. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites [13] Macaskill P Gatsonis C Deeks JJ . Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy Version. London, The Cochrane Collaboration, 2010
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationThe reference standard could introduce bias due to misclassification of participants.
“We also considered the possibility that the reference standard could introduce bias due to misclassification of participants (fig.2) [34,35].”
Quote in the paperNot a substantial claim2 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThe majority of studies collected data prospectively (n=14; 78%) and only three studies used a case-control design.
“The majority of studies collected data prospectively (n514; 78%) (table 1) and only three studies used a case-control design [15,23,26].”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe percentages of HIV-positive patients included in remaining studies ranged from 1% to 87% of the study population.
“The percentages of HIV-positive patients included in remaining studies ranged from 1% to 87% of the study population (table 1).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe review identified 18 studies involving 4461 samples.
“We identified 18 studies (fig. 1) [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31] that included 4461 samples.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationOne study only included HIV-positive patients.
“One study only included HIV-positive patients [30].”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
Findingown dataData were too limited to estimate specificity for smear-positive samples.
“Data were too limited to estimate specificity.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown data11 (55%) studies reported a concentration step.
“11 (55%) studies reported a concentration step (table 2).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
FindingcitationSix studies did not include any HIV-positive patients and for two studies HIV status was unknown.
“Six studies did not include any HIV-positive patients and for two studies, HIV status was unknown [20,32].”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationOne study reported noninterpretable Xpert results in pleural fluid: 5.4% (six out of 111).
“One study reported noninterpretable results for Xpert: 5.4% (six out of 111) [20].”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
Findingown dataXpert pooled specificity was consistently >98.7% against composite reference standard across different sample types.
“Xpert pooled specificity was consistently .98.7% against CRS across different sample types.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataEight (44%) studies were conducted in low/middle-income countries.
“Eight (44%) studies were conducted in low/ middle-income countries (table 1).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataData for smear status of samples were not available for individual sample types, so samples included in the subgroups may be smear-positive, negative or unknown.
“Data for smear status of samples were not available for the individual sample types.Therefore, samples included in the subgroups may be smearpositive, negative or unknown.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataStudies using fresh samples showed higher sensitivity (86.4%, 95% CI 75.7-97.1%) than those using frozen samples (74.0%, 95% CI 56.5-91.5%) for lymph node TB, but precision was low.
“Studies that used fresh samples showed a higher sensitivity (86.4%, 95% CI 75.7-97.1%)than those that used frozen samples (74.0%, 95% CI 56.5-91.5%);however, the precision of these estimates was low as data were limited.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataMost studies that included a mechanical homogenisation step (40%) also performed decontamination with N-acetyl-L-cysteine and sodium hydroxide solution.
“Most of the studies that included a mechanical homogenisation step (40%) also performed a decontamination procedure with N-acetyl-L-cysteine and sodium hydroxide solution.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataSix studies used archived frozen samples, 11 used fresh samples, and one used both fresh and frozen samples.
“Six studies used archived frozen samples, 11 used fresh samples, and one used both fresh and frozen samples (table 2).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataFive (25%) studies used a sample reagent/sample volume ratio of 3/1, while the remainder used 2/1.
“Five (25%) studies used a ratio of 3/1, while the remainder of studies used 2/1.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataA univariate analysis for specificity in pleural fluid achieved a similar estimate (98.9%) with a slightly narrower confidence interval (97.9-99.8%) compared with the bivariate analysis.
“In comparison with the bivariate analysis, a univariate analysis for specificity achieved a similar estimate (98.9%) with a slightly narrower confidence interval (97.9-99.8%).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe median number of samples per study was 137 (interquartile range 67-342).
“The median number of samples per study was 137 (interquartile range 67-342).”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningIn lymph node samples versus composite reference standard, Xpert pooled specificity was 99.1% (95% CI 94.5-99.9%), improved compared with the culture reference standard.
“As expected, the specificity was improved, at 99.1% (95% CI 94.5-99.9%), in comparison to the culture reference standard.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown data10 studies included children, with percentages ranging from 2% to 34%.
“10 studies included children, with percentages ranging from 2% to 34%.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). The quote only partly states this claim.
Findingnone givenIn lymph node samples versus culture, Xpert pooled specificity was 93.6% (95% CI 87.9-96.8%).
“pooled specificity was 93.6% (95% CI 87.9-96.8%).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenAll studies were performed either in tertiary care centres or reference laboratories.
“All studies were performed either in tertiary care centres or reference laboratories.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims. The quote only partly states this claim.
FindingcitationOnly two studies reported noninterpretable Xpert results in lymph node samples: 1.4% and 10%.
“Only two studies reported any noninterpretable results for Xpert: 1.4% (five out of 353) and 10% (two out of 20) [15,30].”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataSeven studies included only one sample type.
“Seven studies included only one sample type (e.g.pleural fluid only) [17,18,21,25,26,30,39] (table 1).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFive studies (711 samples) assessed Xpert in CSF samples versus a composite reference standard (CRS) and found variable sensitivity (20-86%).
“Five studies (711 samples) that assessed Xpert in CSF samples versus a CRS found variable sensitivity (20-86%) (fig.5b) [24,25,[28][29]31].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [24,25,[28][29]31]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Findingown dataPrevalence of HIV and the condition of the specimen did not affect Xpert sensitivity or specificity in CSF.
“Prevalence of HIV and the condition of the specimen did not have an effect on Xpert sensitivity and specificity in CSF.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationStudy quality was assessed separately for culture and composite reference standard groups using QUADAS-2, a validated tool.
“We grouped studies according to the type of reference standard (culture versus CRS) and assessed study quality separately for the two groups using QUADAS-2, a validated tool for diagnostic studies [32].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [32] source
Not checked in the free run.
May combine two claims.
PremisecitationXpert has been approved for TB detection in sputum by regulatory agencies, while Xpert for TB detection in nonrespiratory specimens is considered off-label use.
“While Xpert has been approved for TB detection in sputum by regulatory agencies, Xpert for TB detection in nonrespiratory specimens is considered ''off-label'' use [8][9][10].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [8][9][10]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationRepeat examination of the cerebrospinal fluid or the use of NAATs may increase sensitivity for TB meningitis and is associated with high specificity (>98%).
“although repeat examination of the cerebrospinal fluid (CSF) or the use of NAATs may increase sensitivity and is associated with high specificity (.98%) [5,6].”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenDifferences in study selection and data extraction between the two review authors were resolved by discussion with a third review author.
“Any differences in the study selection and data extraction process between the two review authors were resolved by discussion with a third review author (K.R. Steingart).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataTwo review authors independently assessed all articles for inclusion and extracted data using a standardised extraction form.
“Two review authors (C.M. Denkinger and S.G.Schumacher) independently assessed all articles for inclusion in the systematic review, and extracted data on study methodology, characteristics and test accuracy using a standardised extraction form (tables 1 and 2; extraction form available in the online supplementary material).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Study design and conductnone givenThe sponsors of the study had no role in study design, data collection, data analysis, data interpretation or writing of the report.
“The sponsors of the study had no role in study design, data collection, data analysis, data interpretation or writing of the report.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataTwo sensitivity analyses were performed by limiting inclusion to studies with consecutive patient selection or studies that did not use a case-control design.
“In addition, we performed two sensitivity analyses by limiting inclusion in the meta-analysis to: 1) studies in which patients were selected consecutively; or 2) studies that did not use a case-control design.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningDifferences in sample processing might affect estimates of the diagnostic accuracy of Xpert to varying degrees.
“We considered that differences in sample processing might affect estimates of the diagnostic accuracy of Xpert to varying degrees (table 2).”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductcitationFormal assessment of publication bias using funnel plots or regression tests was not carried out because such techniques are not considered valid for diagnostic accuracy reviews.
“We chose not to carry out formal assessment of publication bias using methods such as funnel plots or regression tests because such techniques are not considered to be valid for diagnostic accuracy reviews [13].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [13] Macaskill P Gatsonis C Deeks JJ . Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy Version. London, The Cochrane Collaboration, 2010
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim.
Study design and conductreasoningSubgroups by sample type were pre-specified: pleural fluid, lymph node samples, and cerebrospinal fluid.
“We expected heterogeneity in terms of the sample types.Therefore, we pre-specified subgroups by sample type: pleural fluid, lymph node samples (tissue and aspirate combined; reporting in studies did not allow separating tissue samples from aspirates) and CSF.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationreasoningThe mechanical homogenisation step could be a source of variation in test accuracy because procedural differences might affect the quantity of sample particles and particles could clog cartridge valves leading to noninterpretable results.
“In particular, we were concerned that the mechanical homogenisation step could be a source of variation in test accuracy (n58, 40%) for two reasons: procedural differences might affect the quantity of sample particles in the sample volume and the particles could clog the cartridge valves leading to noninterpretable results.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Interpretationown dataBased on this systematic review, the World Health Organization now recommends Xpert over conventional tests for diagnosis of TB in lymph nodes and other tissues, and as the preferred initial test for diagnosis of TB meningitis.
“Based on this systematic review, the World Health Organization now recommends Xpert over conventional tests for diagnosis of TB in lymph nodes and other tissues, and as the preferred initial test for diagnosis of TB meningitis.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationNoninterpretable test results were excluded from the analyses for determination of sensitivity and specificity.
“We excluded noninterpretable test results (i.e.invalid or erroneous results) from the analyses for determination of sensitivity and specificity [37].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [37] Cepheid. Xpert MTB/RIF. http://tbevidence.org/documents/rescentre/sop/XpertMTB_Broch_R9_EU.pdf .
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationown dataXpert MTB/RIF can improve the diagnosis of lymph node TB and TB meningitis.
“@ERSpublicationsXpert MTB/RIF can improve the diagnosis of lymph node TB and TB meningitis”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenThe data set involved comprehensive searching to identify studies and repeated correspondence with study authors to obtain additional data.
“This data set involved comprehensive searching to identify studies as well as repeated correspondence with study authors to obtain additional data on the studies.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningXpert on pleural fluid has higher sensitivity than smear and provides a more rapid diagnosis than culture and histology.
“Where resources are available, Xpert on pleural fluid could still be considered in the work-up of pleural TB as it has higher sensitivity than smear and provides a more rapid diagnosis than culture and histology.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenThe review used a standard protocol, strict inclusion criteria, standardised data extraction, independent reviewers, a bivariate random-effects model for meta-analysis, and pre-specified subgroups to account for heterogeneity.
“Strengths of our review include the use of a standard protocol, strict inclusion criteria, standardised data extraction, independent reviewers, a bivariate random-effects model for meta-analysis and pre-specified subgroups to account for heterogeneity.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductnone givenSample processing was highly variable across and within studies, as there was no recommendation available on how to process nonrespiratory samples from the manufacturer or the WHO.
“Furthermore, sample processing was highly variable across and within studies, as there was no recommendation available on how to process nonrespiratory samples from the manufacturer or the WHO.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationWHO recommends Xpert over conventional tests for the diagnosis of TB in lymph nodes and other tissues, and as the preferred initial test for the diagnosis of TB meningitis.
“WHO now recommends Xpert over conventional tests for the diagnosis of TB in lymph nodes and other tissues, and as the preferred initial test for the diagnosis of TB meningitis.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [11] World Health Organization. Automated real-time nucleic acid amplification technology for rapid and simultaneous detection of tuberculosis and rifampicin resistance: Xpert MTB/RIF system for the diagnosis of pulmonary and extrapulmonary TB in adults and children. Geneva, WHO, 2013.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
InterpretationreasoningA concentration step for CSF increases Xpert sensitivity with unchanged specificity, probably by increasing the bacillary load in the cartridge input volume.
“Interestingly, we observed that a concentration step for CSF increases Xpert sensitivity with unchanged specificity, probably by increasing the bacillary load in the cartridge input volume.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationPatients in low-prevalence settings likely present earlier with more paucibacillary disease, which might result in decreased sensitivity of Xpert.
“It is likely that patients in these settings present earlier with more paucibacillary disease, which might result in a decreased sensitivity of Xpert [45].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [45] source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe review may have missed some studies despite the comprehensive search.
“We acknowledge that we may have missed some studies despite the comprehensive search.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductreasoningA detailed investigation of the best sample processing was not possible in this review due to limited data for the sample types and large variation in sample processing.
“Given the limited data for the sample types and the large variation in sample processing, a detailed investigation of the best sample processing was not possible in this review.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe high sensitivity of Xpert in smear-positive samples (97.4%) and the low proportion of noninterpretable results (1.2%) support the use of Xpert in nonrespiratory samples in principle.
“The high sensitivity (97.4%, 95% CI 95.5-99.3%) of Xpert in smear-positive samples across sample types and the low proportion of noninterpretable results (1.2%) support the use of the test in nonrespiratory samples in principle.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationThe poor sensitivity of Xpert in pleural fluid is probably due to the paucibacillary nature of the disease and the fact that pleural biopsy, not pleural fluid, is the sample of choice for the diagnosis of pleural TB.
“The poor sensitivity of Xpert in pleural fluid is probably due to the paucibacillary nature of the disease and the fact that not pleural fluid but rather pleural biopsy is the sample of choice for the diagnosis of pleural TB (as has been described for culture) [41].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [41] source
The authors state this as an assumption.
Xpert correctly identifies TB in a sample with a negative culture.
“Assuming that Xpert correctly identifies TB in a sample with a negative culture, the result would appear to be a false positive, leading to an underestimation of Xpert's true specificity.”
The authors state this as an assumption.
The pooled sensitivity and specificity were different in each subgroup, but not the between-study variance-covariance matrix.
“under the assumption that the pooled sensitivity and specificity were different in each subgroup, but not the between-study variance-covariance matrix.”
The authors state this as an assumption.
The effect of the covariate would not differ between the different reference standards.
“We also presumed that the effect of the covariate would not differ between the different reference standards.”
The paper relies on this without support.
For pleural TB, culture of pleural fluid has low sensitivity (on average, 30-50%).
“For pleural TB, culture of pleural fluid has low sensitivity (on average, 30-50%).”
The paper relies on this without support.
Culture specificity is 100% if the presence of Mycobacterium tuberculosis complex is confirmed with antigen tests or nucleic acid amplification tests.
“Culture specificity is 100% if the presence of Mycobacterium tuberculosis complex is confirmed with antigen tests or nucleic acid amplification tests (NAATs).”
The paper relies on this without support.
Often, biopsy with culture and histopathological examination is necessary to achieve a diagnosis.
“Often, biopsy with culture and histopathological examination is necessary to achieve a diagnosis.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A positive acid-fast bacilli (AFB) stain may indicate mycobacterial disease, although sensitivity is lower than culture, ranging from 5% to 38% depending on the studies.
“A positive acid-fast bacilli (AFB) stain may indicate mycobacterial disease, although sensitivity is lower than culture, ranging from 5% to 38% depending on the studies.3,5”
From Epidemiology and Diagnosis of Tuberculous Lymphadenitis in a Tuberculosis Low-Burden Country (2015) · cites this paper as [5]
The Discussion (page unavailable) says Xpert has higher sensitivity than smear testing for pleural TB, supporting the general point that smear testing can miss disease. It does not compare AFB-stain sensitivity directly with culture or report the claimed 5%–38% range; the Introduction’s sensitivity figures refer to culture, not staining. (LLM, conf=0.75)
Experimental — accuracy not yet measuredThe specificity of Xpert in the current study (91%) is consistent with previous studies (89-99%).
“The specificity (91%) of the Xpert in the current study was found to be consistent with previous studies reported by others (specificity, 89–99%) [20,21,22], but higher than the study done by Biadigilegn et al (specificity, 69.2%) [13].”
From GeneXpert MTB/RIF Assay for the Diagnosis of Tuberculous Lymphadenitis on Concentrated Fine Needle Aspirates in High Tuberculosis Burden Settings (2015) · cites this paper as [20]
The lymph-node TB section reports pooled Xpert specificity of 93.6% against culture and 99.1% against a composite reference standard; the TB meningitis section reports 97.8% against culture. These findings broadly support a comparison with high specificities in previous studies, but this paper does not report the cited 89–99% range. The 91% figure belongs to the citing authors’ current study, not this source. (LLM, conf=0.78)
Experimental — accuracy not yet measuredA systematic review and meta-analysis by Denkinger et al. showed Xpert sensitivity ranging from 50% to 100% with pooled sensitivity of 83%.
“A systematic review and meta-analyses conducted by Denkinger et al showed that Xpert test has a sensitivity ranging from 50% to 100% with pooled sensitivity of 83%[20]”
From GeneXpert MTB/RIF Assay for the Diagnosis of Tuberculous Lymphadenitis on Concentrated Fine Needle Aspirates in High Tuberculosis Burden Settings (2015) · cites this paper as [20]
The “Detection of lymph node TB” section reports sensitivity ranging from 50% to 100% and pooled sensitivity of 83.1% (rounded to 83%) for lymph node samples compared with culture. The citing sentence omits that restriction; the Abstract reports substantially different pooled sensitivities for cerebrospinal and pleural fluid, so 83% is not a pooled estimate for all extrapulmonary samples. (LLM, conf=0.88)
Experimental — accuracy not yet measuredA systematic review and meta-analysis of 13 studies described a pooled sensitivity of 83.1% and specificity of 93.6% for Xpert MTB/RIF with TB culture as the reference standard for the diagnosis of lymph node TB.
“A systematic review and meta-analysis of 13 studies described a pooled sensitivity and specificity of 83.1 and 93.6 % for the Xpert MTB/RIF assay with TB culture as a reference standard for the diagnosis of lymph node TB [34].”
From Evaluation of Xpert® MTB/RIF and Ustar EasyNAT™ TB IAD for diagnosis of tuberculous lymphadenitis of children in Tanzania: a prospective descriptive study (2016) · cites this paper as [34]
Overall, cytology lacks specificity but has high sensitivity.
“Overall, cytology lacks specificity but has high sensitivity [31,32].”
From Diagnostic accuracy of Xpert MTB/RIF assay and non-molecular methods for the diagnosis of tuberculosis lymphadenitis (2019) · cites this paper as [31]
The Detection of lymph node TB and Detection of pleural TB sections report sensitivity and specificity for the Xpert MTB/RIF assay, not cytology. A search for cytology found no passage in our copy assessing its sensitivity or specificity, so this source does not verify the claim. (LLM, conf=0.72)
Experimental — accuracy not yet measured
Cites
QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies
Whiting, P. F., Rutjes, A. W. S., Westwood, M. E., Mallett, S., Deeks, J. J., Reitsma, J. B., Leeflang, M. M. G., Sterne, J. A. C., Bossuyt, P. M. M., & the QUADAS-2 Group* (2011) · Annals of Internal Medicine · doi:10.7326/0003-4819-155-8-201110180-00009 · Cited by 14,199 · see citing works
Reitsma, J. B., Glas, A. S., Rutjes, A. W. S., Scholten, R. J. P. M., Bossuyt, P. M., & Zwinderman, A. H. (2005) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2005.02.022 · Cited by 3,369 · see citing works
Empirical evidence of design-related bias in studies of diagnostic tests.
Lijmer, J. G. (1999) · JAMA · doi:10.1001/jama.282.11.1061 · Cited by 1,861 · see citing works
Xpert® MTB/RIF assay for pulmonary tuberculosis and rifampicin resistance in adults
Steingart, K. R., Schiller, I., Horne, D. J. D. L., Pai, M., Boehme, C. C., & Dendukuri, N. (2014) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd009593.pub3 · Cited by 1,147 · see citing works
Self-citationSystematic Reviews of Diagnostic Test Accuracy
Leeflang, M. M. G., Deeks, J. J., Gatsonis, C., & Bossuyt, P. M. M. (2008) · Annals of Internal Medicine · doi:10.7326/0003-4819-149-12-200812160-00008 · Cited by 1,124 · see citing works
Tuberculous meningitis: a uniform case definition for use in clinical research
Marais, S., Thwaites, G., Schoeman, J. F., Török, M. E., Misra, U. K., Prasad, K., Donald, P. R., Wilkinson, R. J., & Marais, B. J. (2010) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(10)70138-9 · Cited by 932 · see citing works
Systematic review and meta-analysis of psychological therapies for children with chronic pain
Fisher, E., Heathcote, L., Palermo, T. M., de C Williams, A. C., Lau, J., & Eccleston, C. (2014) · Journal of Pediatric Psychology · doi:10.1093/jpepsy/jsu008 · Cited by 710 · see citing works
A systematic review of rapid diagnostic tests for the detection of tuberculosis infection
Dinnes, J., Deeks, J., Kunst, H., Gibson, A., Cummins, E., Waugh, N., Drobniewski, F., & Lalvani, A. (2007) · Health Technology Assessment · doi:10.3310/hta11030 · Cited by 666 · see citing works
QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies
Whiting, P. F., Rutjes, A. W., Westwood, M. E., Mallett, S., Deeks, J. J., Reitsma, J. B., Leeflang, M., Sterne, J. A. C., & Bossuyt, P. M. (2011) · Data Archiving and Networked Services (DANS) · doi:10.1059/0003-4819-155-8-201110180-00009 · Cited by 601 · see citing works
Jones, B. E., Young, S. M. M., Antoniskis, D., Davidson, P. T., Kramer, F., & Barnes, P. F. (1993) · American Review of Respiratory Disease · doi:10.1164/ajrccm/148.5.1292 · Cited by 586 · see citing works
A systematic review and economic evaluation of statins for the prevention of coronary events
Ward, S., Lloyd Jones, M., Pandor, A., Holmes, M., Ara, R., Ryan, A., Yeo, W., & Payne, N. (2007) · Health Technology Assessment · doi:10.3310/hta11140 · Cited by 556 · see citing works
Burr, J. M., Mowatt, G., Hernández, R. A., Siddiqui, M. A. R., Cook, J. A., Lourenço, T., Ramsay, C. R., Vale, L. D., Fraser, C., Azuara‐Blanco, A., et al. (2007) · Health Technology Assessment · doi:10.3310/hta11410 · Cited by 550 · see citing works
(2004) · PubMed · Cited by 463 · see citing works
metandi: Meta-analysis of diagnostic accuracy using hierarchical logistic regression
Harbord, R. M., & Whiting, P. (2009) · The Stata Journal: Promoting communications on statistics and Stata · doi:10.1177/1536867x0900900203 · Cited by 453 · see citing works
Rapid Molecular Detection of Extrapulmonary Tuberculosis by the Automated GeneXpert MTB/RIF System
Hillemann, D., Rüsch-Gerdes, S., Boehme, C., & Richter, E. (2011) · Journal of Clinical Microbiology · doi:10.1128/jcm.02268-10 · Cited by 413 · see citing works
Self-citationReitsma, J. B., Rutjes, A. W. S., Khan, K. S., Coomarasamy, A., & Bossuyt, P. M. (2009) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2009.02.005 · Cited by 405 · see citing works
Multivariate Random-effects Meta-regression: Updates to Mvmeta
White, I. R. (2011) · The Stata Journal: Promoting communications on statistics and Stata · doi:10.1177/1536867x1101100206 · Cited by 400 · see citing works
Pai, M., Flores, L. L., Pai, N., Hubbard, A., Riley, L. W., & Colford, J. M. (2003) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(03)00772-2 · Cited by 384 · see citing works
Self-citationZeka, A. N., Tasbakan, S., & Cavusoglu, C. (2011) · Journal of Clinical Microbiology · doi:10.1128/jcm.05434-11 · Cited by 362 · see citing works
Xpert MTB/RIF: a New Pillar in Diagnosis of Extrapulmonary Tuberculosis?
Vadwai, V., Boehme, C., Nabeta, P., Shetty, A., Alland, D., & Rodrigues, C. (2011) · Journal of Clinical Microbiology · doi:10.1128/jcm.02319-10 · Cited by 357 · see citing works
Self-citationClinical validation of Xpert MTB/RIF for the diagnosis of extrapulmonary tuberculosis
Tortoli, E., Russo, C., Piersimoni, C., Mazzola, E., Dal Monte, P., Pascarella, M., Borroni, E., Mondo, A., Piana, F., Scarparo, C., et al. (2012) · European Respiratory Journal · doi:10.1183/09031936.00176311 · Cited by 322 · see citing works
Porcel, J. M. (2009) · Lung · doi:10.1007/s00408-009-9165-3 · Cited by 303 · see citing works
Rapid molecular TB diagnosis: evidence, policy making and global implementation of Xpert MTB/RIF
Weyer, K., Mirzayev, F., Migliori, G. B., Van Gemert, W., D'Ambrosio, L., Zignol, M., Floyd, K., Centis, R., Cirillo, D. M., Tortoli, E., et al. (2013) · European Respiratory Journal · doi:10.1183/09031936.00157212 · Cited by 256 · see citing works
Xpert® MTB/RIF assay for pulmonary tuberculosis and rifampicin resistance in adults
Steingart, K. R., Sohn, H., Schiller, I., Kloda, L. A., Boehme, C. C., Pai, M., & Dendukuri, N. (2013) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd009593.pub2 · Cited by 253 · see citing works
Self-citationEvaluation of GeneXpert MTB/RIF for Diagnosis of Tuberculous Meningitis
Nhu, N. T. Q., Heemskerk, D., Thu, D. D. A., Chau, T. T. H., Mai, N. T. H., Nghia, H. D. T., Loc, P. P., Ha, D. T. M., Merson, L., Thinh, T. T. V., et al. (2014) · Journal of Clinical Microbiology · doi:10.1128/jcm.01834-13 · Cited by 244 · see citing works
Pai, M., Flores, L., Hubbard, A., Riley, L. W., & Colford, J. M. (2004) · BMC Infectious Diseases · doi:10.1186/1471-2334-4-6 · Cited by 244 · see citing works
Self-citationEvaluating diagnostic tests with imperfect standards
Valenstein, P. N. (1990) · American Journal of Clinical Pathology · doi:10.1093/ajcp/93.2.252 · Cited by 220 · see citing works
Patel, V. B., Theron, G., Lenders, L., Matinyena, B., Connolly, C., Singh, R., Coovadia, Y., Ndung'u, T., & Dheda, K. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001536 · Cited by 179 · see citing works
Armand, S., Vanhuls, P., Delcroix, G., Courcol, R., & Lemaître, N. (2011) · Journal of Clinical Microbiology · doi:10.1128/jcm.02157-10 · Cited by 179 · see citing works
Comparison of Two Molecular Methods for Rapid Diagnosis of Extrapulmonary Tuberculosis
Causse, M., Ruiz, P., Gutiérrez-Aroca, J. B., & Casal, M. (2011) · Journal of Clinical Microbiology · doi:10.1128/jcm.00491-11 · Cited by 145 · see citing works
Xpert MTB/RIF Assay for Diagnosis of Pleural Tuberculosis
Friedrich, S. O., von Groote-Bidlingmaier, F., & Diacon, A. H. (2011) · Journal of Clinical Microbiology · doi:10.1128/jcm.05454-11 · Cited by 126 · see citing works
Bates, J. H. (1979) · CHEST Journal · doi:10.1378/chest.76.6_supplement.757 · Cited by 125 · see citing works
Ligthelm, L. J., Nicol, M. P., Hoek, K. G. P., Jacobson, R., van Helden, P. D., Marais, B. J., Warren, R. M., & Wright, C. A. (2011) · Journal of Clinical Microbiology · doi:10.1128/jcm.01310-11 · Cited by 123 · see citing works
Dendukuri, N., Schiller, I., Joseph, L., & Pai, M. (2012) · Biometrics · doi:10.1111/j.1541-0420.2012.01773.x · Cited by 117 · see citing works
Self-citationValue of composite reference standards in diagnostic research
Naaktgeboren, C. A., Bertens, L. C. M., Smeden, M. V., Groot, J. A. H. D., Moons, K. G. M., & Reitsma, J. B. (2013) · BMJ · doi:10.1136/bmj.f5605 · Cited by 105 · see citing works
Sohn, H., Aero, A. D., Menzies, D., Behr, M., Schwartzman, K., Alvarez, G. G., Dan, A., McIntosh, F., Pai, M., & Denkinger, C. M. (2014) · Clinical Infectious Diseases · doi:10.1093/cid/ciu022 · Cited by 95 · see citing works
Self-citationMoure, R., Martín, R., & Alcaide, F. (2012) · Journal of Clinical Microbiology · doi:10.1128/jcm.06467-11 · Cited by 90 · see citing works
Malbruny, B., Le Marrec, G., Courageux, K., Leclercq, R., & Cattoir, V. (2011) · The International Journal of Tuberculosis and Lung Disease · doi:10.5588/ijtld.10.0497 · Cited by 79 · see citing works
Molecular Techniques in Mycobacterial Detection
Woods, G. L. (2001) · Archives of Pathology & Laboratory Medicine · doi:10.5858/2001-125-0122-mtimd · Cited by 78 · see citing works
Performance of Xpert MTB/RIF on pleural tissue for the diagnosis of pleural tuberculosis
Christopher, D. J., Schumacher, S. G., Michael, J. S., Luo, R., Balamugesh, T., Duraikannan, P., Pollock, N. R., Pai, M., & Denkinger, C. M. (2013) · European Respiratory Journal · doi:10.1183/09031936.00103213 · Cited by 60 · see citing works
Self-citationXpert® MTB/RIF in pleural fluid for the diagnosis of tuberculosis [Short communication]
Porcel, J. M., Palma, R., Valdés, L., Bielsa, S., San-José, E., & Esquerda, A. (2013) · The International Journal of Tuberculosis and Lung Disease · doi:10.5588/ijtld.13.0178 · Cited by 51 · see citing works
Al-Ateah, S. M., Al-Dowaidi, M. M., & El-Khizzi, N. A. (2012) · Saudi Medical Journal · doi:10.15537/1658-3175.5638 · Cited by 47 · see citing works
Hanif, S. N. M., Eldeen, H. S., Ahmad, S., & Mokaddas, E. (2011) · The International Journal of Tuberculosis and Lung Disease · doi:10.5588/ijtld.11.0394 · Cited by 29 · see citing works
Van Rie, A., Page-Shipp, L., Mellet, K., Scott, L., Mkhwnazi, M., Jong, E., Omar, T., Beylis, N., Stevens, W., Sanne, I., et al. (2013) · European Journal of Clinical Microbiology & Infectious Diseases · doi:10.1007/s10096-013-1890-0 · Cited by 24 · see citing works
Frank, T. S. (2001) · Archives of Pathology & Laboratory Medicine · doi:10.1043/0003-9985(2001)125 · Cited by 21 · see citing works
(2012) · PubMed · Cited by 14 · see citing works
Flagged first, then by citations
2 of the 48 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Pai, M., Behr, M. A., Dowdy, D., Dheda, K., Divangahi, M., Boehme, C. C., Ginsberg, A., Swaminathan, S., Spigelman, M., Getahun, H., et al. (2016) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2016.76 · Cited by 1,270 · see citing works
Self-citationChakravorty, S., Simmons, A. M., Rowneki, M., Parmar, H., Cao, Y., Ryan, J., Banada, P. P., Deshpande, S., Shenai, S., Gall, A., et al. (2017) · mBio · doi:10.1128/mbio.00812-17 · Cited by 668 · see citing works
Self-citationDiagnosis and Treatment of Extrapulmonary Tuberculosis
Lee, J. Y. (2015) · Tuberculosis & respiratory diseases · doi:10.4046/trd.2015.78.2.47 · Cited by 541 · see citing works
Gupta, R. K., Lucas, S. B., Fielding, K., & Lawn, S. D. (2015) · AIDS · doi:10.1097/qad.0000000000000802 · Cited by 373 · see citing works
Detjen, A., DiNardo, A. R., Leyden, J., Steingart, K. R., Menzies, D., Schiller, I., Dendukuri, N., & Mandalakas, A. M. (2015) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(15)00095-8 · Cited by 319 · see citing works
Self-citationBahr, N. C., Nuwagira, E., Evans, E. E., Cresswell, F. V., Bystrom, P. V., Byamukama, A., Bridge, S. C., Bangdiwala, A. S., Meya, D. B., Denkinger, C. M., et al. (2018) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(17)30474-7 · Cited by 308 · see citing works
Self-citationSharma, S. K., Ryan, H., Khaparde, S., Sachdeva, K. S., Singh, A. D., Mohan, A., Sarin, R., Paramasivan, C. N., Kumar, P., Nischal, N., et al. (2017) · The Indian Journal of Medical Research · doi:10.4103/ijmr.ijmr_1950_16 · Cited by 279 · see citing works
Drug‐resistant tuberculosis: An update on disease burden, diagnosis and treatment
Lange, C. G., Chesov, D., Heyckendorf, J., Leung, C. C., Udwadia, Z. F., & Dheda, K. U. J. (2018) · Respirology · doi:10.1111/resp.13304 · Cited by 245 · see citing works
Xpert <sup>®</sup> MTB/RIF assay for extrapulmonary tuberculosis and rifampicin resistance
Kohli, M., Schiller, I., Dendukuri, N., Dheda, K., Denkinger, C. M., Schumacher, S. G., & Steingart, K. R. (2018) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd012768.pub2 · Cited by 245 · see citing works
Self-citationMaynard-Smith, L., Larke, N. L., Peters, J. A., & Lawn, S. D. (2014) · BMC Infectious Diseases · doi:10.1186/s12879-014-0709-7 · Cited by 217 · see citing works
“, also carefully examined the use of the Xpert assay in extrapulmonary TB [44].”
BackgroundResultKohli, M., Schiller, I., Dendukuri, N., Yao, M., Dheda, K., Denkinger, C. M., Schumacher, S. G., & Steingart, K. R. (2021) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd012768.pub3 · Cited by 215 · see citing works
Self-citationGupta-Wright, A., Corbett, E. L., van Oosterhout, J. J., Wilson, D., Grint, D., Alufandika-Moyo, M., Peters, J. A., Chiume, L., Flach, C., Lawn, S. D., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)31267-4 · Cited by 213 · see citing works
Mycobacterium tuberculosis drug-resistance testing: challenges, recent developments and perspectives
Schön, T., Miotto, P., Köser, C. U., Viveiros, M., Böttger, E. C., & Cambau, E. (2016) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2016.10.022 · Cited by 178 · see citing works
Trajman, A., Campbell, J. R., Kunor, T., Ruslami, R., Amanullah, F., Behr, M. A., & Menzies, D. (2025) · The Lancet · doi:10.1016/s0140-6736(24)02479-6 · Cited by 198 · see citing works
Defining the Needs for Next Generation Assays for Tuberculosis
Denkinger, C. M., Kik, S. V., Cirillo, D. M., Casenghi, M., Shinnick, T. M., Weyer, K., Gilpin, C., Boehme, C. C., Schito, M. L., Kimerling, M., et al. (2015) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiu821 · Cited by 167 · see citing works
“Whether up-front resistance testing such as detection of rifampin resistance in Xpert is beneficial will depend on the local epidemiology of drug-resistance and the trade-offs made by including DST (eg, in respect to time to result).”
BackgroundInfluentialSelf-citationDonovan, J., Thu, D. D. A., Phu, N. H., Dung, V. T. M., Quang, T. P., Nghia, H. D. T., Oanh, P. K. N., Nhu, T. B., Chau, N. V. V., Ha, V. T. N., et al. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(19)30649-8 · Cited by 154 · see citing works
Diagnosis and treatment of multidrug-resistant tuberculosis
Jang, J. G., & Chung, J. H. (2020) · Yeungnam University Journal of Medicine · doi:10.12701/yujm.2020.00626 · Cited by 140 · see citing works
“A recent study reported that Xpert Ultra was not superior to Xpert in diagnosing tuberculous meningitis [26].”
BackgroundSehgal, I. S., Dhooria, S., Aggarwal, A. N., Behera, D., & Agarwal, R. (2016) · Journal of Clinical Microbiology · doi:10.1128/jcm.03205-15 · Cited by 134 · see citing works
“Compared to the previous meta-analysis on TPE, our study identified 14 additional studies and almost twice as many patients (10).”
ResultTuberculosis Diagnostics: State of the Art and Future Directions
Pai, M., Nicol, M. P., & Boehme, C. C. (2016) · Microbiology Spectrum · doi:10.1128/microbiolspec.tbtb2-0019-2016 · Cited by 138 · see citing works
“Sensitivity is highest for lymph node biopsies/ aspirates and cerebrospinal fluid but poor for pleural fluid (13, 14).”
BackgroundSelf-citationSeddon, J. A., Tugume, L., Solomons, R., Prasad, K., & Bahr, N. C. (2019) · Wellcome Open Research · doi:10.12688/wellcomeopenres.15535.1 · Cited by 134 · see citing works
Miliary tuberculosis: A new look at an old foe
Sharma, S. K., Mohan, A., & Sharma, A. (2016) · Journal of Clinical Tuberculosis and Other Mycobacterial Diseases · doi:10.1016/j.jctube.2016.03.003 · Cited by 129 · see citing works
Point of care diagnostics for tuberculosis
García‐Basteiro, A. L., DiNardo, A. R., Saavedra, B., Silva, D. R., Palmero, D., Gegia, M., Migliori, G. B., Duarte, R., Mambuque, E., Centis, R., et al. (2018) · Pulmonology · doi:10.1016/j.rppnen.2017.12.002 · Cited by 132 · see citing works
Drug resistance mechanisms and drug susceptibility testing for tuberculosis
Miotto, P., Zhang, Y., Cirillo, D. M., & Yam, W. C. (2018) · Respirology · doi:10.1111/resp.13393 · Cited by 125 · see citing works
Pleural tuberculosis: A concise clinical review
Shaw, J. A., Irusen, E. M., Diacon, A. H., & Koegelenberg, C. F. N. (2018) · The Clinical Respiratory Journal · doi:10.1111/crj.12900 · Cited by 118 · see citing works
Lyon, S. M., & Rossman, M. D. (2017) · Microbiology Spectrum · doi:10.1128/microbiolspec.tnmi7-0032-2016 · Cited by 126 · see citing works
Chen, X., He, G., Wang, S., Lin, S., Chen, J., & Zhang, W. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.01741 · Cited by 111 · see citing works
“However, conventional culture and drug susceptibility tests (DSTs) for second-line agents are currently still indispensable in countries with documented or suspected cases of extensive drug resistant TB (XDR-TB) to ensure quality testing of second-line agents, following the World Health Organization (WHO) policy guida…”
BackgroundMethodInfluentialTuberculosis in Infants and Children
Lamb, G. S., & Starke, J. R. (2017) · Microbiology Spectrum · doi:10.1128/microbiolspec.tnmi7-0037-2016 · Cited by 112 · see citing works
“%) and CSF (pooled sensitivity of 80.5%); based on this study, the WHO now recommends use of Xpert for diagnosis of tuberculous lymph-adenitis and tuberculous meningitis (87, 144).”
MethodInfluentialBlood transcriptomic diagnosis of pulmonary and extrapulmonary tuberculosis
Roe, J. K., Thomas, N., Gil, E., Best, K., Tsaliki, E., Morris-Jones, S. D., Stafford, S. L., Simpson, N., Witt, K. D., Chain, B., et al. (2016) · JCI Insight · doi:10.1172/jci.insight.87238 · Cited by 100 · see citing works
“Ethnicity, n (%) Black/Black African 13 (28) 8 (26) South Asian 22 (48) 14 (45) East Asian 4 (9) 1 (3) European/American 7 (15) 8 (26) Median serum 25(OH) vit D (nM) (IQR) 14 (0–22) 17 (11–33) Sputum AFB load, n (%) Scanty or 1+ 28 (61) 12 (39) 2+ or 3+ 18 (39) 19 (61) Cavitation on chest radiograph, n (%) 28 (61) 17…”
BackgroundDiagnostic biomarkers for active tuberculosis: progress and challenges
Nogueira, B. M. F., Krishnan, S., Barreto‐Duarte, B., Araújo‐Pereira, M., Queiroz, A. T. L., Ellner, J. J., Salgame, P. R., Scriba, T. J., Sterling, T. R., Gupta, A., et al. (2022) · EMBO Molecular Medicine · doi:10.15252/emmm.202114088 · Cited by 106 · see citing works
Bates, M., Mudenda, V. C., Shibemba, A. L., Kaluwaji, J., Tembo, J. M., Kabwe, M., Chimoga, C., Chilukutu, L., Chilufya, M., Kapata, N., et al. (2015) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(15)70058-7 · Cited by 90 · see citing works
Tuberculosis exposure, infection and disease in children: a systematic diagnostic approach
Pabón, C. L. R., & Pérez‐Vélez, C. M. (2016) · Pneumonia · doi:10.1186/s41479-016-0023-9 · Cited by 90 · see citing works
“NAAT (Xpert MTB/RIF has a sensitivity of ~83% using culture as reference) and culture; and (ii) pathological studies (cytopathology of aspirate; histopathology of biopsied tissue) [58, 59].”
BackgroundMultidrug-resistant tuberculosis and migration to Europe
Hargreaves, S., Lönnroth, K., Nellums, L. B., Olaru, I. D., Nathavitharana, R. R., Nørredam, M. L., & Friedland, J. S. (2016) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2016.09.009 · Cited by 88 · see citing works
Integrated therapy for HIV and tuberculosis
Manosuthi, W., Wiboonchutikul, S., & D, S. S. M. (2016) · AIDS Research and Therapy · doi:10.1186/s12981-016-0106-y · Cited by 87 · see citing works
Treatment outcomes of tuberculous meningitis in adults: a systematic review and meta-analysis
Wang, M.-G., Luo, L., Zhang, Y., Liu, X., Liu, L., & He, J. (2019) · BMC Pulmonary Medicine · doi:10.1186/s12890-019-0966-8 · Cited by 87 · see citing works
“CSF molecular diagnostic methods (nucleic acid amplification tests) have previously been included in diagnostic criteria for tuberculous meningitis [37, 38].”
Tadesse, M., Abebe, G., Abdissa, K., Aragaw, D., Abdella, K., Bekele, A., Bezabih, M., Apers, L., de Jong, B. C., & Rigouts, L. (2015) · PLoS ONE · doi:10.1371/journal.pone.0137471 · Cited by 85 · see citing works
“The specificity (91%) of the Xpert in the current study was found to be consistent with previous studies reported by others (specificity, 89–99%) [20,21,22], but higher than the study done by Biadigilegn et al (specificity, 69.”
ResultXpert® MTB/RIF assay for extrapulmonary tuberculosis and rifampicin resistance
Kohli, M., Schiller, I., Dendukuri, N., Ryan, H., Dheda, K. U. J., Denkinger, C. M., Schumacher, S. G., & Steingart, K. R. (2017) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd012768 · Cited by 85 · see citing works
Self-citationLaboratory diagnosis of central nervous system infection
He, T., Kaplan, S., Kamboj, M., & Tang, Y.-W. (2016) · Current Infectious Disease Reports · doi:10.1007/s11908-016-0545-6 · Cited by 81 · see citing works
Assessment of the Xpert MTB/RIF Ultra assay on rapid diagnosis of extrapulmonary tuberculosis
Wu, X., Tan, G., Gao, R., Yao, L., Bi, D., Guo, Y., Yu, F., & Fan, L. (2019) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2019.01.050 · Cited by 78 · see citing works
Sharma, S. K., Kohli, M., Chaubey, J., Yadav, R. N., Sharma, R., Singh, B. K., Sreenivas, V., Sharma, A., Bhatia, R., Jain, D., et al. (2014) · European Respiratory Journal · doi:10.1183/09031936.00059014 · Cited by 78 · see citing works
Li, S., Liu, B., Peng, M., Chen, M., Yin, W., Tang, H. R., Luo, Y., Hu, P., & Ren, H. G. (2017) · PLoS ONE · doi:10.1371/journal.pone.0180725 · Cited by 77 · see citing works
Sekyere, J. O., Maphalala, N., Malinga, L. A., Mbelle, N. M., & Maningi, N. E. (2019) · Scientific Reports · doi:10.1038/s41598-019-53086-5 · Cited by 76 · see citing works
Lawn, S. D., Kerkhoff, A. D., Burton, R., Schutz, C., van Wyk, G., Vogt, M., Pahlana, P., Nicol, M. P., & Meintjes, G. (2015) · BMC Medicine · doi:10.1186/s12916-015-0432-2 · Cited by 76 · see citing works
“Importantly, however, assay specificity was found to be uniformly high regardless of sample type [12–14].”
BackgroundWang, G., Wang, S., Jiang, G., Yang, X., Huang, M., Huo, F., Ma, Y., Dai, G., Li, W., Chen, X., et al. (2019) · Journal of Infection · doi:10.1016/j.jinf.2019.02.010 · Cited by 76 · see citing works
Elbrolosy, A. M., El-Helbawy, R., Mansour, O. M., & Ibrahim, R. A. L. (2021) · BMC Microbiology · doi:10.1186/s12866-021-02210-5 · Cited by 75 · see citing works
“3 % of new TB patients and approximately 20 % of previously treated patients become infected with MDR-TB, leading to higher mortality rates [9].”
BackgroundPormohammad, A., Nasiri, M. J., McHugh, T. D., Riahi, S. M., & Bahr, N. C. (2019) · Journal of Clinical Microbiology · doi:10.1128/jcm.01113-18 · Cited by 75 · see citing works
“8%) against a combined reference standard (CRS) for extrapulmonary TB (22).”
BackgroundMéndez‐Samperio, P. (2017) · Scandinavian Journal of Immunology · doi:10.1111/sji.12567 · Cited by 74 · see citing works
Accuracy of Xpert MTB/RIF Ultra for the Diagnosis of Pleural TB in a Multicenter Cohort Study
Wang, G., Wang, S., Yang, X., Sun, Q., Jiang, G., Huang, M., Huo, F., Ma, Y., Chen, X., & Huang, H. (2019) · CHEST Journal · doi:10.1016/j.chest.2019.07.027 · Cited by 72 · see citing works
Diagnostic and Therapeutic Strategies for Peritoneal Tuberculosis: A Review
Wu, D. C., Averbukh, L. D., & Wu, G. Y. (2019) · Journal of Clinical and Translational Hepatology · doi:10.14218/jcth.2018.00062 · Cited by 72 · see citing works
“that Xpert MTB may have significant variability in sensitivity relative to the tissue being sampled.(50,51) Additional studies attempting to improve on the headway made in gene amplification include studies on multiplex PCR with selected gene targets previously determined to have high specificity for TB such as mycoba…”
BackgroundAdvances in the molecular diagnosis of tuberculosis: From probes to genomes
Machado, D., Couto, I., & Viveiros, M. (2018) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2018.11.021 · Cited by 71 · see citing works
Tuberculous pleural effusion: diagnosis & management
Antonângelo, L., Faria, C. S., & de Sales, R. K. B. (2019) · Expert Review of Respiratory Medicine · doi:10.1080/17476348.2019.1637737 · Cited by 72 · see citing works
Singh, U. B., Pandey, P., Mehta, G., Bhatnagar, A. K., Mohan, A., Goyal, V., Ahuja, V., Ramachandran, R., Sachdeva, K. S., & Samantaray, J. C. (2016) · PLoS ONE · doi:10.1371/journal.pone.0149258 · Cited by 68 · see citing works
“[21] Hence, both culture and CRS were used as reference standards in order to reach an optimum sensitivity and specificity [Table 1].”
MethodBias due to composite reference standards in diagnostic accuracy studies
Schiller, I., van Smeden, M., Hadgu, A., Libman, M., Reitsma, J. B., & Dendukuri, N. (2015) · Statistics in Medicine · doi:10.1002/sim.6803 · Cited by 68 · see citing works
Self-citationMass Spectrometric Identification of Urinary Biomarkers of Pulmonary Tuberculosis
Isa, F., Collins, S. E., Lee, M. H., Decome, D., Dorvil, N., Joseph, P., Smith, L., Salerno, S. M., Wells, M. T., Fischer, S. M., et al. (2018) · EBioMedicine · doi:10.1016/j.ebiom.2018.04.014 · Cited by 67 · see citing works
Challenges in the diagnosis of tuberculous meningitis
Palacios, C. F., & Saleeb, P. G. (2020) · Journal of Clinical Tuberculosis and Other Mycobacterial Diseases · doi:10.1016/j.jctube.2020.100164 · Cited by 66 · see citing works
“%) compared to CRS.”
BackgroundMethodInfluentialUse of Xpert MTB/RIF and Xpert Ultra in extrapulmonary tuberculosis
Park, M., & Kon, O. M. (2020) · Expert Review of Anti-infective Therapy · doi:10.1080/14787210.2020.1810565 · Cited by 67 · see citing works
Pediatric Extrapulmonary Tuberculosis
Santiago, B., Blázquez‐Gamero, D., Baquero‐Artigao, F., et al. (2016) · The Pediatric Infectious Disease Journal · doi:10.1097/inf.0000000000001270 · Cited by 64 · see citing works
Rufai, S. B., Singh, A., Kumar, P., Singh, J., & Singh, S. (2015) · Journal of Clinical Microbiology · doi:10.1128/jcm.02182-15 · Cited by 63 · see citing works
“Efficacy of the Xpert MTB/RIF assay has widely been evaluated (12).”
BackgroundMethodAllahyartorkaman, M., Mirsaeidi, M. S., Hamzehloo, G., Amini, S., Zakiloo, M., & Nasiri, M. J. (2019) · Scientific Reports · doi:10.1038/s41598-019-55112-y · Cited by 63 · see citing works
Kendall, E. A., Schumacher, S. G., Denkinger, C. M., & Dowdy, D. W. (2017) · PLoS Medicine · doi:10.1371/journal.pmed.1002472 · Cited by 62 · see citing works
Self-citationPerformance of Xpert MTB/RIF on Ascitic Fluid Samples for Detection of Abdominal Tuberculosis
Rufai, S. B., Singh, S., Singh, A., Kumar, P., Singh, J., & Vishal, A. (2016) · Journal of Laboratory Physicians · doi:10.4103/0974-2727.187927 · Cited by 60 · see citing works
“[29] In 2013, WHO endorsed use of Xpert MTB/RIF assay on pulmonary samples where it has been reported to be highly sensitive and specific[30,31] and thus recommended for national TB programs in developing countries.”
MethodRufai, S. B., Singh, A., Singh, J., Kumar, P., Sankar, M. M., Singh, S., Nigam, K. P., Sharma, D., Gupta, A. K., & Rawat, V. S. (2017) · Journal of Infection · doi:10.1016/j.jinf.2017.04.010 · Cited by 61 · see citing works
A novel approach for tuberculosis diagnosis using exosomal DNA and droplet digital PCR
Cho, S., Shin, S., Kim, Y., et al. (2019) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2019.11.012 · Cited by 60 · see citing works
Xpert MTB/RIF assay for the diagnosis of extrapulmonary tuberculosis: a diagnostic evaluation study
Tadesse, M., Abebe, G., Bekele, A., Bezabih, M., Yilma, D., Apers, L., de Jong, B. C., & Rigouts, L. (2018) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2018.12.018 · Cited by 55 · see citing works
The diagnostic utility of pleural markers for tuberculosis pleural effusion
Zhang, M., Li, D., Hu, Z.-D., & Huang, Y. (2020) · Annals of Translational Medicine · doi:10.21037/atm.2019.09.110 · Cited by 56 · see citing works
“NAAT, Xpert MTB/RIF, (42) 2014 14 92/749 BVM 0.”
MethodBourgi, K., Fiske, C. T., & Sterling, T. R. (2017) · Current Infectious Disease Reports · doi:10.1007/s11908-017-0595-4 · Cited by 56 · see citing works
Corticosteroids for tuberculous pleurisy
Ryan, H., Yoo, J., & Darsini, P. (2017) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd001876.pub3 · Cited by 54 · see citing works
Immuno-PCR, a new technique for the serodiagnosis of tuberculosis
Mehta, P. K., Dahiya, B., Sharma, S., Singh, N., Dharra, R., Thakur, Z., Mehta, N., Gupta, K. B., Gupta, M. C., & Chaudhary, D. (2017) · Journal of Microbiological Methods · doi:10.1016/j.mimet.2017.05.009 · Cited by 54 · see citing works
Shaw, J. A., & Koegelenberg, C. F. N. (2021) · Clinics in Chest Medicine · doi:10.1016/j.ccm.2021.08.002 · Cited by 57 · see citing works
Diagnostic accuracy of the Xpert MTB/RIF assay for bone and joint tuberculosis: A meta-analysis
Shen, Y., Yu, G., Zhong, F., & Kong, X. (2019) · PLoS ONE · doi:10.1371/journal.pone.0221427 · Cited by 54 · see citing works
Hoel, I. M., Syre, H., Skarstein, I., & Mustafa, T. (2020) · Scientific Reports · doi:10.1038/s41598-020-70613-x · Cited by 52 · see citing works
Schumacher, S. G., Sohn, H., Qin, Z. Z., Gore, G. C., Davis, J. L., Denkinger, C. M., & Pai, M. (2016) · PLoS ONE · doi:10.1371/journal.pone.0151073 · Cited by 50 · see citing works
Self-citationYu, G., Zhong, F., Ye, B., Xu, X., Chen, D., & Shen, Y. (2019) · BioMed Research International · doi:10.1155/2019/4878240 · Cited by 52 · see citing works
“Systematic review and meta-analysis published in 2014 and 2015 showed good diagnostic efficiency of Xpert MTB/RIF for LNTB [3, 48].”
BackgroundMethodRaj, A., Singh, N., Gupta, K. B., Chaudhary, D., Yadav, A., Chaudhary, A., Agarwal, K., Basil, M. V., Prasad, R., Khuller, G. K., et al. (2015) · Yonsei Medical Journal · doi:10.3349/ymj.2016.57.1.88 · Cited by 52 · see citing works
“Therefore, the World Health Organization (WHO) has not recommended the use of the Xpert assay for the diagnosis of TB pleuritis, though the same assay has been recommended for the diagnosis of TB lymphadenitis and TB meningitis.(17) Interestingly, our M-PCR test was positive in six of ten urine samples collected from…”
MethodTeyim, P. M., Ane-Anyangwe, I., Adeline, W., Pokam, B. D. T., Meriki, H. D., & Mbacham, W. F. (2019) · BMC Pulmonary Medicine · doi:10.1186/s12890-018-0770-x · Cited by 51 · see citing works
“Other studies [12, 14, 18], however report very varying sensitivity and specificity of molecular nucleic acid amplification techniques in comparison with culture.”
Molecular point-of-care testing technologies: Current status and challenges
Zu, Y., Chang, H., & Cui, Z. (2025) · Nexus · doi:10.1016/j.ynexs.2025.100059 · Cited by 53 · see citing works
Saeed, M., Ahmad, M., Iram, S., Riaz, S., Akhtar, M., & Aslam, M. (2017) · Saudi Medical Journal · doi:10.15537/smj.2017.7.17694 · Cited by 49 · see citing works
Jørstad, M. D., Marijani, M., Dyrhol-Riise, A. M., Sviland, L., & Mustafa, T. (2018) · PloS one · doi:10.1371/journal.pone.0196723 · Cited by 43 · see citing works
Wang, G., Dong, W., Lan, T., Fan, J., Tang, K., Li, Y., Yan, G., Jiang, G., Ma, Y., Shang, Y., et al. (2018) · Emerging Microbes & Infections · doi:10.1038/s41426-018-0114-1 · Cited by 48 · see citing works
Zürcher, K., Ballif, M., Kiertiburanakul, S., Chenal, H., Yotebieng, M., Grinsztejn, B. G. J., Michael, D., Sterling, T. R., Ngonyani, K., Mandalakas, A. M., et al. (2019) · Journal of the International AIDS Society · doi:10.1002/jia2.25392 · Cited by 48 · see citing works
“Globally, about 25% of all TB cases are estimated to be EPTB [2].”
BackgroundDiabetes mellitus and extrapulmonary tuberculosis: site distribution and risk of mortality
Magee, M. J., Foote, M., Ray, S. M., Gandhi, N. R., & Kempker, R. R. (2016) · Epidemiology and Infection · doi:10.1017/s0950268816000364 · Cited by 47 · see citing works
“to TB control because it is harder to diagnose [10] and certain forms are associated with worse outcomes [11].”
Yu, G., Shen, Y., Zhong, F., Ye, B., Yang, J., & Chen, G. (2018) · PLoS ONE · doi:10.1371/journal.pone.0199290 · Cited by 45 · see citing works
A novel aptamer-based test for the rapid and accurate diagnosis of pleural tuberculosis
Kumari, P., Lavania, S., Tyagi, S., Dhiman, A., Rath, D., Anthwal, D., Gupta, R. K., Sharma, N., Gadpayle, A. K., Taneja, R. S., et al. (2018) · Analytical Biochemistry · doi:10.1016/j.ab.2018.10.019 · Cited by 45 · see citing works
Challenges in Pleural Tuberculosis Diagnosis: Existing Reference Standards and Nucleic Acid Tests
Tyagi, S., Sharma, N., Tyagi, J. S., & Haldar, S. (2017) · Future Microbiology · doi:10.2217/fmb-2017-0028 · Cited by 43 · see citing works
Epidemiology and Diagnosis of Tuberculous Lymphadenitis in a Tuberculosis Low-Burden Country
Salvador, F., Los-Arcos, I., Sánchez-Montalvá, A., Tórtola, T., Curran, A., Villar, A., Saborit, N., Castellví, J., & Molina, I. (2015) · Medicine · doi:10.1097/md.0000000000000509 · Cited by 43 · see citing works
“Scarce information about the role of these techniques in the diagnosis of TL has been published, and results are very different depending on the study.(6,7) In this study, we present epidemiological and clinical data of patients with TL diagnosed at Vall d’Hebron University Hospital (HUVH) during the last decade, and…”
MethodBisognin, F., Lombardi, G., Lombardo, D., Re, M. C., & Monte, P. D. (2018) · PLoS ONE · doi:10.1371/journal.pone.0201934 · Cited by 42 · see citing works
Pleural fluid tests to diagnose tuberculous pleuritis
Skouras, V. S., & Kalomenidis, I. (2016) · Current Opinion in Pulmonary Medicine · doi:10.1097/mcp.0000000000000277 · Cited by 40 · see citing works
Ullah, I., Javaid, A., Masud, H., Ali, M., Basit, A., Ahmad, W., Younis, F., Yasmin, R., Khan, A., Jabbar, A., et al. (2017) · Journal of Medical Microbiology · doi:10.1099/jmm.0.000449 · Cited by 41 · see citing works
Diagnosis of tuberculous meningitis: challenges and promises.
Philip, N., William, T., & John, D. V. (2015) · PubMed · Cited by 40 · see citing works
The role of Xpert MTB/RIF assay in the diagnosis of tubercular spondylodiscitis
Arockiaraj, J., Michael, J. S., Amritanand, R., David, K. S., & Krishnan, V. (2017) · European Spine Journal · doi:10.1007/s00586-017-5076-9 · Cited by 40 · see citing works
Wang, H., Lu, J., Chang, C.-Y., Chou, W.-P., Hsieh, C., Lin, C.-R., & Wu, M. (2019) · Scientific Reports · doi:10.1038/s41598-018-33804-1 · Cited by 40 · see citing works
Diagnostic accuracy of the Xpert MTB/Rif Ultra for tuberculosis adenitis
Antel, K., Oosthuizen, J., Malherbe, F., Louw, V. J., Nicol, M. P., Maartens, G., & Verburgh, E. (2020) · BMC Infectious Diseases · doi:10.1186/s12879-019-4749-x · Cited by 41 · see citing works
Impact of the diagnostic test Xpert MTB/RIF on patient outcomes for tuberculosis
Haraka, F., Kakolwa, M. A., Schumacher, S. G., Nathavitharana, R. R., Denkinger, C. M., Gagneux, S., Reither, K., & Ross, A. J. (2021) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd012972.pub2 · Cited by 40 · see citing works
“[DOI: 10.5588/ijtld.14.0775] [PMID: 25868022] Denkinger 2014 Denkinger CM, Schumacher SG, Boehme CC, Dendukuri N, Pai M, Steingart KR. Xpert MTB/RIF assay for the diagnosis of extrapulmonary tuberculosis: a systematic review and metaanalysis.”
BackgroundMethodInfluentialSelf-citationFantahun, M., Kebede, A., Yenew, B., Gemechu, T., Mamuye, Y., Tadesse, M., Brhane, B., Jibriel, A., Solomon, D., & Yaregal, Z. (2019) · PLoS ONE · doi:10.1371/journal.pone.0222402 · Cited by 38 · see citing works
Accumulate evidence for IP-10 in diagnosing pulmonary tuberculosis
Qiu, X., Xiong, T., Su, X., Qu, Y., Ge, L., Yue, Y., Zeng, Y., Li, W., Hu, P., & Mu, D. (2019) · BMC Infectious Diseases · doi:10.1186/s12879-019-4466-5 · Cited by 39 · see citing works
Yu, G., Shen, Y., Zhong, F., et al. (2022) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2022.06.001 · Cited by 39 · see citing works
Lee, J. H., Garg, T., Lee, J., McGrath, S., Rosman, L. M., Schumacher, S. G., Benedetti, A., Qin, Z. Z., Gore, G. C., Pai, M., et al. (2022) · BMC Infectious Diseases · doi:10.1186/s12879-022-07855-9 · Cited by 40 · see citing works
“For DR-TB, use of LPAs reduced diagnostic delay by 40.09 days (95% CI 26.82–53.37) and treatment initiation delay by 45.32 days (95% CI 30.27–60.37) in comparison to any culture DST methods.”
BackgroundInfluentialSelf-citationPandey, S. K., Congdon, J., McInnes, B., Pop, A., & Coulter, C. (2016) · Pathology · doi:10.1016/j.pathol.2016.10.004 · Cited by 38 · see citing works
Jajou, R., van der Laan, T., de Zwaan, R., Kamst, M., Mulder, A., de Neeling, A. J., Anthony, R. M., & van Soolingen, D. (2019) · Journal of Antimicrobial Chemotherapy · doi:10.1093/jac/dkz215 · Cited by 38 · see citing works
Role of Gene Xpert in diagnosis of female genital tuberculosis: a preliminary report
Sharma, J. B., Kriplani, A., Dharmendra, S., Chaubey, J., Kumar, S., & Sharma, S. (2016) · European Journal of Obstetrics & Gynecology and Reproductive Biology · doi:10.1016/j.ejogrb.2016.10.045 · Cited by 38 · see citing works
Mesman, A. W., Rodriguez, C. A., Ager, E., et al. (2019) · Tuberculosis · doi:10.1016/j.tube.2019.101878 · Cited by 38 · see citing works
- Authors
- Denkinger, C. M., Schumacher, S. G., Boehme, C. C., Dendukuri, N., Pai, M., & Steingart, K. R.
- Affiliations
- Beth Israel Deaconess Medical Center (US)
- McGill University (CA)
- FIND (CH)
- Montreal Chest Institute (CA)
- ORCID
- Venue
- European Respiratory Journal
- Publisher
- European Respiratory Society (ERS)
- Published
- 2014-04-02
- Volume
- 44
- Issue
- 2
- Pages
- 435-446
- ISSN
- 0903-1936 (ISSN-L)
- 1399-3003
- OpenAlex
- W2047801331
- Cited by
- 527
- References
- 48
- Citations by year
- 2026: 33 · 2025: 30 · 2024: 34 · 2023: 29 · 2022: 46 · 2021: 51 · 2020: 51 · 2019: 58 · 2018: 51 · 2017: 58 · 2016: 44 · 2015: 30 · 2014: 12
- FWCI
- 6.68
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- European Respiratory Journal (publishedVersion)
- PubMed (publishedVersion)
- Funders
- United States Agency for International Development
- American Society of Tropical Medicine and Hygiene
- McGill University
- Fonds de Recherche du Québec - Santé
- European and Developing Countries Clinical Trials Partnership
- Topics
- Health Sciences › Medicine › Infectious Diseases › Tuberculosis Research and Epidemiology
- Health Sciences › Medicine › Surgery › Infectious Diseases and Tuberculosis
- Health Sciences › Medicine › Surgery › Diagnosis and treatment of tuberculosis
- Keywords
- Xpert MTB/RIF, extrapulmonary tuberculosis, tuberculosis diagnosis, diagnostic accuracy, sensitivity and specificity, lymph node tissue, cerebrospinal fluid, pleural fluid, tuberculous meningitis, nucleic acid amplification tests, cultural comparison
- MeSH terms
- Antibiotics, Antitubercular, Humans, Mycobacterium tuberculosis, Reference Standards, Regression Analysis, Rifampin, Sensitivity and Specificity, Tuberculosis, World Health Organization, Reproducibility of Results, HIV Infections, Prevalence, Databases, Factual, Drug Resistance, Bacterial, Molecular Diagnostic Techniques
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-11.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-11.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review