| Literature DB >> 30081879 |
Lena Faust1, Anne McCarthy2,3, Yoko Schreiber4,5.
Abstract
BACKGROUND: Tuberculosis (TB) continues to be a global public health concern. Due to the presence of multiple risk factors such as poor housing conditions and food insecurity in Canadian Indigenous communities, this population is at particularly high risk of TB infection. Given the challenges of screening for latent TB infection (LTBI) in remote communities, a synthesis of the existing literature regarding current screening strategies among high-risk groups in low-incidence countries is warranted, in order to provide an evidence base for the optimization of paediatric LTBI screening practices in the Canadian Indigenous context.Entities:
Keywords: Indigenous communities; Latent tuberculosis infection; Targeted screening
Mesh:
Year: 2018 PMID: 30081879 PMCID: PMC6090746 DOI: 10.1186/s12889-018-5886-7
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Fig. 1Study Screening and Exclusion Flowchart (PRISMA, [15])
Studies investigating effective screening strategies for paediatric LTBI in high-risk populations within low-burden countries (by study population)
| First Author | Year | Study setting | Study population | Sample size | Study objective | Screening program/strategy | Screening tool used | Findings/Recommendations regarding screening strategy |
|---|---|---|---|---|---|---|---|---|
| Indigenous Communities | ||||||||
| Alvarez [ | 2014 | Nunavut, Canada | A high-risk Indigenous community in Iqaluit, Nunavut | 444 | To evaluate a door-to-door LTBI screening strategy in a Canadian Indigenous community | Door-to-door screening, with targeting of dwellings screened based on location within a high-incidence area (> 5 cases in the last 5 years) | TST | • Screening based on high-risk location (rather than individual factors) was effective in this setting |
| Pre-kindergarten or school-aged children | ||||||||
| Flaherman [ | 2007 | California, USA | Pre-kindergarten children in California | NAa | To evaluate the cost-effectiveness of universal vs. targeted screening for paediatric LTBI | Compared universal screening for paediatric LTBI prior to kindergarten entry to targeted screening based on the presence of at least one risk factor for LTBI | TST | • Universal screening had a higher incremental cost compared to targeted screening per prevented case. |
| Gounder [ | 2003 | New York, USA | School-age children in New York receiving a TST between 1991 and 1998 | 788,283 | To assess adherence and utility of a change in paediatric LTBI screening policy | Universal screening of new entrants to primary and secondary school replaced by screening only in secondary school entrants | TST | • More targeted screening among high-risk secondary school children would be more cost-effective (higher likelihood of identifying LTBI cases) |
| Yuan [ | 1995 | Toronto, Canada | High-risk elementary and secondary school students in Toronto, Canada | 720 | To evaluate a school-based screening program in Toronto, Canada | Targeted screening based on risk, Indigenous children and children born in a country of high TB endemicity were selectively screened via TST (> 10 mm considered positive) | TST | • Poor participation (40.6%) resulted in the fact that the program prevented only 3 potential TB cases, therefore not cost-effective (cost to prevent > cost to treat, although this should be considered with caution, given that indirect costs of TB (such as QALYs), and the costs of treating secondary cases were not included in the cost-effectiveness analysis). |
| Taylor [ | 2008 | Newcastle, UK | Children who had a QFT-G performed at Newcastle general hospital | 120 | To evaluate the effect of the NICE guidelines on paediatric TB screening practices | NICE guidelines mandate the follow-up of TST+ patients with a QFT-G or T-SPOT to determine further action. Due to the lack of data on the sensitivity of IFNy assays in children, this may identify fewer cases than with the use of the TST alone for decision-making regarding possible LTBI cases | TST and QFT-GIT | • 85% fewer would have received prophylaxis under the NICE guidelines (compared to prior to implementation of the guidelines) |
| Minodier [ | 2010 | Montreal, Canada | Immigrant school children and their classmates in Montreal, Canada | 4375 (3401 tests read) | To evaluate a school-based LTBI screening and treatment program for immigrant children in Canada | Children (10–12 years old) in classes with a high proportion of immigrants were targeted for screening by TST | TST | • Program cost-effectiveness and case identification could have been improved by targeting at-risk children, rather than at-risk classroom groups |
| Immigrants (including internationally adopted children) | ||||||||
| Panchal [ | 2014 | Leicester, UK | Recent immigrants to Leicester, UK | 59,007 (10,515 children < 16 yrs) | To evaluate the effectiveness of LTBI screening after first primary care registration of recent immigrants (11-year retrospective study) | Targeted screening of immigrants recently registered with primary care services | Not mentioned | • 31.2% (15/48) of TB cases could have been prevented through screening in < 16 yrs. b at the time of first primary care registration after immigration. |
| Pareek [ | 2011 | UK | 177 Primary care facilities in the UK | 177 (primary care centres) | To evaluate the different screening methods used to screen immigrants for LTBI in primary care facilities throughout the UK | Screening of recent immigrants registering at primary care centres (methods of screening varied across centres) | TST and IGRA | • Only 107/177 (60.4%) of primary care facilities screened for LTBI. |
| Pareek [ | 2011b | Lancashire, Yorkshire and London, UK | Immigrants attending healthcare centres in the UK | 1229 (< 16 yrs., | To evaluate the cost-effectiveness of targeting LTBI screening in immigrants based on age group and TB incidence in country of origin | Various screening methods for immigrants evaluated based on incidence in country of origin | QFT-GIT | Most cost-effective screening strategy: screening those < 16 yrs. from any country with TB incidence > 40/100,000 (and > 250/100,000 for 16–35 yrs) |
| Trehan [ | 2008 | USA | Internationally adopted children in the US (who had a TST within 2 months of arrival) | 527 (191 repeat-tested) | To investigate whether repeat testing of internationally adopted children increases LTBI case identification | Repeat testing (via TST) of internationally adopted children 3 months or more after arrival (with the initial test having been taken within 2 months of arrival) | TST | • 31/191 (17.7%) of those with an initially negative TST had a positive follow-up TST. |
aNot applicable, cost-effectiveness and clinical decision analysis b yrs. = years old QFT-GIT = Quantiferon Gold In-Tube
Studies investigating the feasibility and performance of screening tools for paediatric LTBI (by study population)
| First Author | Year | Study setting | Study population | Sample size | Study objective | Screening tool used | Comparator tool | Comparative screening results (SP, SE, discordance) | Findings/Recommendations regarding screening tools |
|---|---|---|---|---|---|---|---|---|---|
| Indigenous Communities | |||||||||
| Alvarez [ | 2014 | Nunavut, Canada | A high-risk Indigenous community in Iqaluit, Nunavut | 256 (with both TST and IGRA results) | To evaluate the feasibility of the use of IGRAs for LTBI screening in the Nunavut Indigenous population | IGRA | TST | 44/256 (17.2%) discordant results, most of which occurred in people with multiple BCG vaccinations or those who were vaccinated after infancy | • 18% IGRAs positive, 32% TSTs positive. |
| Kwong [ | 2016 | Sioux Lookout, Ontario, Canada | Indigenous adolescents in northern Ontario (screened at age 14) | 11 | To evaluate the IGRA for LTBI screening in a Canadian Indigenous community | IGRA | TST | 7/11 had a positive TST, of these 7, all had a negative IGRA and none developed symptoms of active TB disease. | • Recommends use of IGRAsv due to high proportion of false-positive TST in BCG vaccinated adolescents. |
| Reid [ | 2007 | Saskatchewan, Canada | Preschool children (0–4 yrs) living in Indigenous reserve communities in Saskatchewan | 2953 (1086 BCG+, 1867 BCG-) | To investigate the effect of BCG vaccination on TST results in Canadian Indigenous children | TST | None | • More positive TSTs among BCG+ children at 5 mm for 0–4 yrs., but no longer significant in 3–4 yrs. at > 10 mm | |
| Immigrant or refugee children | |||||||||
| Howley [ | 2015 | USA | Children (2–14 yrs) immigrating to the US from Vietnam, the Philippines or Mexico | 2520 | To evaluate the QFT vs TST for LTBI screening in immigrant children | QFT | TST | • kappa = 0.20. | • Recommends the use of QFT in immigrant children (2 yrs. and above) |
| Losi [ | 2011 | Modena, Italy | Immigrant children and adolescents | 621 | To evaluate the QFT-GIT as a screening tool for LTBI in children immigrating to Italy | IGRA (QFT-GIT) | TST | • 104/621 TST+ | • QFTs useful for screening in low-burden settings, however, due to continued lack of research regarding sensitivity of IGRAs in younger children, TST positivity should not be disregarded |
| Lucas [ | 2010 | Perth, Australia | African and Burmese refugee children resettling in Australia | 524 | To evaluate the QFT-GIT and T-SPOT.TB as screening tools for LTBI in refugee children resettling to Australia | QFT-GIT and TB-SPOT.TB | TST | • QFT-GIT and TB-SPOT.TB showed high concordance (k = 0.78, | • High proportion of inconclusive results for both IGRAs suggests TST remains useful alternative. |
| Salinas [ | 2015 | Spain | Undocumented immigrant children (< 19 yrs) in Basque Country, Spain | 845 | To determine the prevalence of LTBI in undocumented immigrant teenagers using QFT | QFT-GIT | TST | 63% overall, 57% positive and 96% negative concordance. | • Screening high-risk subgroups of the population in low-incidence countries is recommended. |
| Children considered at risk based on suspected TB exposure/contact with a TB case (among other risk factors, including immigration or adoption) | |||||||||
| Bergamini [ | 2009 | Italy | At-risk children (contacts of TB cases and recent immigrants) | 496 | To investigate the effect of age on IGRA effectiveness | IGRAs (QFT-GIT, QFT-G, T-SPOT.TB) | None | • TST: uncertainty of accuracy in BCG-vaccinated children. QFTs: more indeterminate results in those < 4 yrs. compared to older children | Need to take into account age and BCG vaccination status when using the TST for LTBI screening |
| Connell [ | 2006 | Melbourne, Australia | High-risk children (suspected contact with an active case, recent arrival from high-incidence country, clinical suspicion) | 106 | To evaluate the effectiveness of LTBI screening with IFN-y vs. TST | IFN-γ assay | TST | • IFN-/TST+ in 70% of TST+ cases | TST recommended for screening among high-risk children, as TST positivity was a better predictor of the possibility of actual LTBI (those with household contacts with TB were more likely to be positive by TST than by IFN-γ assay, although this does not necessarily translate into better predictiveness of the TST given that not all household contacts will necessarily develop LTBI). |
| Grare [ | 2010 | Nancy, France | Children considered at risk for TB due to clinical suspicion, an adult case contact or recent immigration from an endemic region | 51 (44 with test results) | To evaluate the effectiveness of QFT-GIT vs. the TST for the identification of paediatric LTBI | QFT-GIT | TST | 84% agreement between the two tests | • TST remains a useful predictor of LTBI. |
| Sali [ | 2015 | Italy | Children (0–14 yrs) with suspected active TB, exposure to an adult case, or healthy adopted children | 621 | To evaluate the QFT-GIT for paediatric active TB diagnosis and LTBI screening | QFT-GIT | None | • Usefulness of IGRAs in younger children: 0–12 month age group more likely to have indeterminate QFT results ( | |
| Salinas [ | 2011 | Spain | Children < 17 yrs. in Basque Country, Spain, that had previous TB contacts | 160 | To compare the QuantiFERON-TB gold in-tube test to the TST for the detection of LTBI in children with TB contacts | QFT-GIT | TST | 95–96% concordance (100% in non-vaccinated children and children < 5 yrs) | • QFT-GT reduced preventive treatments by 28–34% and is therefore recommended in low-incidence countries |
| Other Paediatric Populations | |||||||||
| Grinsdale [ | 2016 | San Francisco, USA | Children < 15 yrs. screened for TB at 20 community clinics in San Francisco | 1092 | To assess the concordance of QFTs and the TST in a low-burden setting | QFT-GIT | TST | • 79% discordance (TST+/IGRA-) in BCG-vaccinated foreign-born children vs. 37% discordance in non-vaccinated US-born children. | • QFT vs. TST discordance was high, however, QFT has high NPV, as no TST+/QFT- children developed active TB disease in the 5 years of follow-up. |
| Mekaini [ | 2014 | Abu Dhabi, UAE | Children (1–19 yrs) attending health centres in Abu Dhabi for routine care | 699 (669 gave blood sampling consent) | To evaluate the QFT-GIT for paediatric LTBI screening | QFT-GIT | Risk factor questionnaire | • QFT positivity was low (4/669, 0.6%), however it identified two LTBI cases that would have been suspected negative based on the risk factor questionnaire alone | QFT is recommended, depending on the estimated prevalence of TB in the population |
| Rose [ | 2014 | Toronto, Canada | Paediatric HIV patients (< 19 yrs) | 81 | To evaluate the QFT-GIT for LTBI screening in HIV-positive children | QFT-GIT | TST | 96% TST-/QFT- concordance, but TST+/QFT+ concordance was low. | Use of QFT in HIV-positive children is valid, although low correlation with risk factor assessment (5 mm cut off used for the TST) |
Screening recommendations in low-incidence countries based on TB incidence, positive predictive value of IGRAs and TST for progression to active TB disease, and number needed to screen
| Country or Region | Risk Sub-group Studied | Screening Tool | 2015 National TB Incidence (reported cases/million population/year) [ | PPV a for Progression to Active Disease | NNT b or NNS c | Screening Tool Recommendations | Screening Strategy Recommendations |
|---|---|---|---|---|---|---|---|
| Canada | Indigenous individuals [ | TST | 45.55 | NR | NNS: 5.3 | Use of the TST in the paediatric population, although IGRAs may be preferable in areas where BCG vaccination persists | Location-based screening in Indigenous communities with > 5 TB cases in the past 5 years [ |
| Individuals in long-term care facilitiesd [ | TST | NR | 1410 | ||||
| Australia | Immigrant/refugee children or child contacts of TB cases | TST & IGRAs | 52.25 | NR | NR | Although prior studies indicate potentially poorer sensitivity of IGRAs compared to the TST, [38, 43]the basis of this conclusion in the absence of a gold standard diagnostic tool is unclear, and a more recent study suggests poorer sensitivity of the TST compared to IGRAs for the detection of LTBI, based on a prospective follow-up of study subjects. [ | |
| Italy | Immigrant children and child contacts of TB cases | TST & IGRAs | 62.82 | NR | NR | Use of IGRAs recommended in BCG-vaccinated paediatric populations [ | |
| Spain | Immigrant children [ | QFT-GIT & TST | 91.12 | NR | NR | Use of IGRAs is preferential in low-incidence settings to prevent unnecessary prophylactic treatment | Risk-based screening: contacts of TB cases and undocumented immigrant children [ |
| Contacts of TB cases [ | QFT-GIT & TST | NR | NR | ||||
| United Kingdom [ | Immigrant children from low-incidence countries (< 150/100,000) | NR | 96.00 | NR | NNS: 5291 | IGRAs are more cost-effective in low-incidence countries [ | Risk-factor-based screening: immigrants from high-incidence countries [ |
| Immigrant children from high-incidence countries (> 500/100,000) | NR | NR | 88 | ||||
| United States | Immigrants d [ | TST | 29.66 | NR | NNS: 150 | IGRAs are a better predictor of progression to active disease in paediatric populations [ | Risk-factor-based screening: immigration status, malnutrition [ |
| Europe d [ | Immune-compromised individuals [ | TST | NA | 1.5 | NNT: | Targeted screening of close contacts [ | |
| Contacts of TB cases [ | QFT-GIT | NA | 1.9 | 37 |
aPPV = Positive Predictive Value (in this case, the number of individuals progressing to TB disease among those with a positive IGRA result)
bNNT = Number Needed to Treat (in this case, the difference between the number of TB cases developing among individuals testing positive via IGRA in those receiving compared to not receiving prophylactic treatment)
cNNS = Number Needed to Screen (the number of individuals needed to screen in order to prevent one TB case)
dNot in exclusively paediatric populations
NA Not applicable
NR Not reported
Risk factors considered by included studies for prioritization of risk-based targeted screening in paediatric populations
| Author | Year | Study Setting | Study Population | Risk Factors Considered for Risk-based Screening | Definition or Measurement of Risk Factors | Implications for Risk-based Screening in the Canadian Indigenous Population |
|---|---|---|---|---|---|---|
| Population/Community-Level Risk, Incidence-Based Risk | ||||||
| Alvarez [ | 2014 | Nunavut, Canada | A high-risk Indigenous community in Iqaluit, Nunavut | Community-level high TB incidence | Communities with > 5 TB cases in the past 5 years considered high-incidence | Community-level incidence rates may be an effective guide for prioritizing screening in Canadian Indigenous communities. |
| Minodier [ | 2010 | Montreal, Canada | Immigrant children and their classmates in Montreal, Canada | Immigrant status, or being in the same class as a child with immigrant status | NA | The study’s conclusion that case identification would have been improved by targeting only immigrant children, rather than screening entire classes that contain immigrant children suggests that increased consideration should be given to the actual incidence rates underlying the classification of certain groups as high-risk, rather than basing screening solely on membership of or contact with these groups themselves. |
| Yuan [ | 1995 | Toronto, Canada | High-risk (indigenous or immigrant) school children | Birth in a TB-endemic country | NA | Similar to Minodier et al.’s findings above (2010), the fact that this strategy was found to be cost-ineffective suggests the importance of incidence-based screening in specific communities, rather than screening entire demographic groups based on status, i.e. Indigenous/immigrant. |
| Panchal [ | 2014 | Leicester, UK | Recent immigrants to Leicester, UK | Immigrant status | Immigrants identified upon first registering for primary care | Number needed to screen (NNS) was lowest in certain strata of the immigrant population, according to age and TB incidence in their country of origin (specifically 16–35 year olds from areas with TB incidence ranging from 150 to 499/100000), highlighting again the relevance of incidence-based screening in the case of potentially high-risk sub-populations in low-burden countries. |
| Pareek [ | 2011a | UK | Immigrants attending 177 Primary care facilities in the UK | Sub-factors for risk among immigrants: | TB incidence > 40/100,000 in country of origin among < 16 year-olds | See above |
| Pareek [ | 2011b | Lancashire, Yorkshire and London, UK | Immigrants attending healthcare centres in the UK | Sub-factors for risk among immigrants: | TB incidence > 40/100,000 in country of origin among < 16 year-olds | See above |
| Individual Risk | ||||||
| Trehan [ | 2008 | USA | Internationally adopted children in the US | International adoption | NA | The rationale for screening in this population is again related to the high TB incidence rates in certain countries of origin, highlighting the utility of actual incidence-based screening. |
| Malnourishment | Weight-for-age | Although malnourishment was not a factor considered for initial targeted screening in this study, the finding that malnourished children are more likely to have a positive TST upon repeat testing indicates the potential relevance of including this risk factor in targeted screening efforts among Canadian Indigenous children, as Indigenous communities in Canada are characterised by a high prevalence of food insecurity. (It should be noted that the possibility of boosting of TST reactivity upon repeat testing is acknowledged in the study, but that it is considered less likely to have had an effect in the study, as repeat testing was conducted 3 months after initial testing). | ||||
| Flaherman [ | 2007 | California, USA | Pre-kindergarten children in California | High-risk children based on risk factor questionnaire | The presence of one or more risk factors included in the Paediatric Tuberculosis Collaborative Group Risk Factor Questionnaire [ | As the study found risk-based screening more cost-effective, the use of a risk factor questionnaire to guide targeted screening may be warranted in the Canadian Indigenous population, if adapted based on risk factors relevant to the Indigenous context, such as poor housing conditions, food insecurity and relevant co-morbidities (See b). |
| Bergamini | 2009 | Various (see Table | Regular contact with an active TB case (e.g. having a household member with TB) | NA | Although these studies evaluated the accuracy of screening tools rather than a risk-based screening strategy, close contact with an active TB case is a relevant risk factor to consider for targeted screening in paediatric Indigenous communities, due to the comparatively high prevalence of TB in this population in comparison to the overall Canadian population. | |
| Connell | 2006 | |||||
| Grare | 2010 | |||||
| Grinsdale | 2016 | |||||
| Sali | 2015 | |||||
| Salinas | 2011 | |||||
| Salinas | 2015 | |||||
| Alvarez [ | 2014 | Canada | Canadian Indigenous people | Renal disease | NA | The Indigenous population experiences a higher prevalence of these risk factors for TB infection than the general Canadian population, underlining their potential relevance in risk-based screening in Indigenous communities. |
aThis risk factor questionnaire was initially developed for use in the U. S. and includes the following factors:
1) Birth of the child outside the U. S.
2) Travel outside the U. S.
3) Exposure to an active TB case
4) Close contact with an individual who has had a positive TST
5) Contact with anyone who has been in jail or a shelter, uses illegal drugs, or is HIV-positive
6) Consumption of unpasteurized dairy products
7) Birth of a household member outside the U. S.
8) Travel of a household member outside the U. S.
Administering a TST was recommended in the original study in the case of the presence of > 1 of the above factors. [63]
Fig. 3Quality assessment of diagnostics accuracy studies
Fig. 2Quality assessment of cohort and cross-sectional studies
Quality Assessment of Cohort and Cross-Sectional Studies a
| First Author | Year | Study Design | Objective clear | Study population clearly specified | Participation rate of eligible persons at least 50% | Subjects recruited from the same or similar populations | Sample size justification, or power analysis b | Exposure(s) of interest measured prior to outcome(s) | Timeframe sufficient to expect to see an association between exposure and outcome, if it exists | Levels/categories of exposure measured, where applicable c | Exposure measures clearly defined | Exposure(s) assessed more than once over time | Outcome measures clearly defined | Outcome assessors blinded to exposure status of participants | Loss to follow-up after baseline 20% or less | Key potential confounding variables measured and statistically adjusted for | Total (out of 14) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Gounder | 2003 | RC | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | x | 1 | x | 1 | 1 | 12 |
| Minodier | 2010 | PC | 1 | 1 | 1 | 1 | x | 1 | 1 | 1 | 1 | x | 1 | x | x | x | 9 |
| Panchal | 2014 | RC | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | x | 1 | x | 1 | 1 | 12 |
| Pareek | 2011 | CS | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | x | 1 | x | 1 | x | 11 |
| Pareek | 2011b | PC | 1 | 1 | 1 | 1 | x | 1 | 1 | 1 | 1 | x | 1 | x | 1 | 1 | 11 |
| Trehan | 2008 | PC | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | x | 1 | x | 1 | 1 | 12 |
| Alvarez | 2014 | PC | 1 | 1 | x | 1 | x | 1 | 1 | 1 | 1 | x | 1 | x | 1 | 1 | 10 |
| Yuan | 1995 | PC | 1 | 1 | x | 1 | x | 1 | 1 | 1 | 1 | x | 1 | x | 1 | 1 | 10 |
| Taylor | 2008 | CS | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | x | 1 | x | 1 | x | 11 |
1 = criterion met x = criterion not met or not reported CS = Cross-Sectional RC = Retrospective Cohort PC = Prospective Cohort
aBased on the National Heart, Lung and Blood Institute’s Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies, [16]
bWhere studies sampled an entire population of interest (e.g. data available on all eligible individuals through health system records), a point was awarded for sample size justification)
cWhere exposure was the absence / presence (introduction / cessation) of a particular screening strategy, “levels” of exposure are not applicable, as this exposure is dichotomous. In this case, studies were not deducted points
Quality Assessment of Diagnostic Accuracy Studiesa
| First Author | Year | Sample representative of general population who will receive the test | Sample selection criteria clearly described | Execution of the index test described in sufficient detail to permit replication | Same clinical data available when test results were interpreted as would be availablewhen the test is used in practice | Uninterpretable/intermediate test results reported | Withdrawals from the study explained | Total (out of 6)b |
|---|---|---|---|---|---|---|---|---|
| Bergamini | 2009 | 1 | 1 | 1 | 1 | 1 | 1 | 6 |
| Connell | 2006 | 1 | 1 | 1 | 1 | 1 | 1 | 6 |
| Grare | 2010 | 1 | 1 | 1 | 1 | 1 | x | 5 |
| Grinsdale | 2016 | 1 | 1 | 1 | 1 | 1 | x | 5 |
| Howley | 2015 | 1 | 1 | x | 1 | 1 | x | 4 |
| Kwong | 2016 | 1 | 1 | x | 1 | 1 | 1 | 5 |
| Losi | 2011 | x | x | 1 | 1 | 1 | x | 3 |
| Lucas | 2010 | 1 | 1 | 1 | 1 | 1 | 1 | 6 |
| Mekaini | 2014 | 1 | 1 | 1 | 1 | 1 | 1 | 6 |
| Rose | 2014 | 1 | 1 | 1 | 1 | 1 | 1 | 6 |
| Sali | 2015 | 1 | 1 | 1 | 1 | 1 | x | 5 |
| Ried | 2007 | 1 | 1 | x | x | x | 1 | 3 |
| Alvarez | 2014 (b) | 1 | 1 | 1 | 1 | 1 | 1 | 6 |
| Salinas | 2011 | 1 | 1 | 1 | 1 | x | x | 4 |
| Salinas | 2015 | 1 | 1 | 1 | 1 | x | x | 4 |
1 = criterion met x = criterion not met or not reported
aBased on items from the Quality Assessment of Diagnostic Accuracy Studies checklist. [17]
bCriteria from the original checklist pertaining to comparison of the index test to a gold standard were not included, given the absence of a gold standard for LTBI diagnosis
Quality Assessment of Modelling Study (Flaherman 2007 [31])
| Criteriaa | Criteria met? (1 = yes, |
|---|---|
| Structure: | |
| Inputs and outputs relevant to the decision-making perspective | 1 |
| Structure consistent with the theory of the disease in question | 1 |
| Structure as simple, although including essential aspects for decision-making. Simplifications, if any, justified as not significantly affecting the results. | 1 |
| Heterogeneity in the modelled population accounted for by stratifying by groups that have different outcome probabilities or costs. | 1 |
| Time horizon of the model sufficient to detect important (and clinically meaningful) differences in long-term health and cost outcomes. | 1 |
| Data: | |
| Data identification: | |
| Systematic reviews of the literature conducted on key model inputs. | x |
| Ranges provided in base-case estimates of all input parameters for which sensitivity analyses were done. | 1 |
| Data based on expert opinion, if used, are derived via formal methods, e.g. Delphi | x |
| Attempts to obtain new data prior to modeling have been considered. | x |
| Data modeling: | |
| Modeling methods follow accepted methods of biostatistics and epidemiology. | 1 |
| Data incorporation: | |
| Use of either probabilistic (Monte Carlo, first-order) simulation or deterministic (cohort) simulation | 1 |
| Included sensitivity analyses of key parameters. | 1 |
| Validation: | |
| Internal validation: | |
| Model subjected to internal testing through input of extreme values (or equal values for replication testing) | x |
| Calibration data, where available, should be from sources independent of those used to estimate inputs | x |
| Source code available for peer-review. | x |
| Between-model validation: | |
| Models developed independently of each other, to allow convergent validity testing | x |
| Significant discrepancies in model outputs compared to other published results explained | 1 |
| External and predictive validation: | |
| Model based on the best evidence available at the time | 1 |
| Total Score (out of 18) | 11 |
aBased on the ISPOR Principles of Good Practice for Decision Analytic Modeling in Health-Care Evaluation [18]. (Since this study did not employ a transition-state model, components of the ISPOR guidelines pertaining to such models were excluded from this assessment)