Evidence map›Paper›PMID 20170555›Full record

ArticleBMC pulmonary medicine2010

Different screening strategies (single or dual) for the diagnosis of suspected latent tuberculosis: a cost effectiveness analysis.

Anil Pooran, Helen Booth, Robert F Miller, Geoff Scott, Motasim Badri, Jim F Huggett, Graham Rook, Alimuddin Zumla, Keertan Dheda

Abstract read
In one paragraph

Article in BMC pulmonary medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. The effectiveness and cost-effectiveness of screening for latent tuberculosis among migrants in the EU/EEA: a systematic review.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2018
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Managing tuberculosis infection among migrants from high-incidence tuberculosis countries: challenges, strategies and recommendations.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Review
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  13. Diagnostic Potential of the Serological Response to Synthetic Peptides fromInternational journal of peptide research and therapeutics · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Anil PooranDivision of Infection and Immunity, Centre for Infectious Diseases and International Health, University College London Medical School, University College London, 43 Cleveland Street, London W1T 4JF, UK.
Helen Booth
Robert F Miller
Geoff Scott
Motasim Badri
Jim F Huggett
Graham Rook
Alimuddin Zumla
Keertan Dheda

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious health economic studies recommend either a dual screening strategy [tuberculin skin test (TST) followed by interferon-gamma-release assay (IGRA)] or a single one [IGRA only] for latent tuberculosis infection (LTBI), the former largely based on claims that it is more cost-effective. We sought to examine that conclusion through the use of a model that accounts for the additional costs of adverse drug reactions and directly compares two commercially available versions of the IGRA: the Quantiferon-TB-Gold-In-Tube (QFT-GIT) and T-SPOT.TB.

methodsA LTBI screening model directed at screening contacts was used to perform a cost-effectiveness analysis, from a UK healthcare perspective, taking into account the risk of isoniazid-related hepatotoxicity and post-exposure TB (2 years post contact) using the TST, QFT-GIT and T-SPOT.TB IGRAs.

resultsExamining costs alone, the TST/IGRA dual screening strategies (TST/T-SPOT.TB and TST/QFT-GIT; 162,387 pounds and 157,048 pounds per 1000 contacts, respectively) cost less than their single strategy counterparts (T-SPOT.TB and QFT-GIT; 203,983 pounds and 202,921 pounds per 1000 contacts) which have higher IGRA test costs and greater numbers of persons undergoing LTBI treatment. However, IGRA alone strategies direct healthcare interventions and costs more accurately to those that are truly infected.Subsequently, less contacts need to be treated to prevent an active case of TB (T-SPOT.TB and QFT-GIT; 61.7 and 69.7 contacts) in IGRA alone strategies. IGRA single strategies also prevent more cases of post-exposure TB. However, this greater effectiveness does not outweigh the lower incremental costs associated with the dual strategies. Consequently, when these costs are combined with effectiveness, the IGRA dual strategies are more cost-effective than their single strategy counterparts. Comparing between the IGRAs, T-SPOT.TB-based strategies (single and dual; 39,712 pounds and 37,206 pounds per active TB case prevented, respectively) were more cost-effective than the QFT-GIT-based strategies (single and dual; 42,051 pounds and 37,699 pounds per active TB case prevented, respectively). Using the TST alone was the least cost-effective (47,840 pounds per active TB case prevented). Cost effectiveness values were sensitive to changes in LTBI prevalence, IGRA test sensitivities/specificities and IGRA test costs.

conclusionA dual strategy is more cost effective than a single strategy but this conclusion is sensitive to screening test assumptions and LTBI prevalence.

Indexed as

Contact TracingCost-Benefit AnalysisDecision TreesEnzyme-Linked Immunosorbent AssayHealth Care CostsHumansIncidenceInterferon-gammaMass ScreeningPrevalenceSensitivity and SpecificityTuberculin TestTuberculosis, PulmonaryUnited KingdomInterferon-gamma

Identifiers

PMID20170555
PMCPMC2837635

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.