Cited by 193Tuberculosis Research and EpidemiologyInfectious Diseases and TuberculosisMycobacterium research and diagnosis

Tuberculosis Diagnostics in 2015: Landscape, Priorities, Needs, and Prospects

Open access
Pai, Madhukar, Schito, Marco·2015·The Journal of Infectious Diseases

Abstract

In 2015, tuberculosis remains a major global health problem, and drug-resistant tuberculosis is a growing threat. Although tuberculosis diagnosis in many countries is still reliant on older tools, new diagnostics are changing the landscape. Stimulated, in part, by the success and roll out of Xpert MTB/RIF, there is now considerable interest in new technologies. The landscape looks promising, with a robust pipeline of new tools, particularly molecular diagnostics, and well over 50 companies actively engaged in product development. However, new diagnostics are yet to reach scale, and there needs to be greater convergence between diagnostics development and development of shorter-duration tuberculosis drug regimens. Another concern is the relative absence of non-sputum-based diagnostics in the pipeline for children and of biomarker tests for triage, cure, and progression of latent Mycobacterium tuberculosis infection. Several initiatives, described in this supplement, have been launched to further stimulate product development and policy, including assessment of needs and priorities, development of target product profiles, compilation of data on resistance-associated mutations, and assessment of market size and potential for new diagnostics. Advocacy is needed to increase funding for tuberculosis research and development, and governments in high-burden countries must invest more in tuberculosis control to meet post-2015 targets for care, control, and prevention.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/infdis/jiu803

Cites

37 of 37 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Pai, M., & Schito, M.
Affiliations
  • McGill University (CA)
  • Henry M. Jackson Foundation (US)
Venue
The Journal of Infectious Diseases
Published
2015-03-10
Volume
211
Issue
suppl_2
Pages
S21-S28
ISSN
  • 0022-1899 (ISSN-L)
  • 1537-6613
OpenAlex
W2102135808
Cited by
193
References
37
Citations by year
2026: 6 · 2025: 12 · 2024: 11 · 2023: 14 · 2022: 11 · 2021: 10 · 2020: 21 · 2019: 22 · 2018: 13 · 2017: 27 · 2016: 28 · 2015: 18
FWCI
4.32
Type
journal article
Language
en
Open access
Locations
  • The Journal of Infectious Diseases (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institute of Allergy and Infectious Diseases (HHSN272200800014C)
Topics
  • Health Sciences › Medicine › Infectious Diseases › Tuberculosis Research and Epidemiology
  • Health Sciences › Medicine › Surgery › Infectious Diseases and Tuberculosis
  • Health Sciences › Medicine › Epidemiology › Mycobacterium research and diagnosis
Keywords
tuberculosis diagnosis, drug-resistant tuberculosis, Xpert MTB/RIF, molecular diagnosis, pediatric tuberculosis, latent tuberculosis infection, biomarkers, target product profile, resistance-associated mutations, tuberculosis control policy
MeSH terms
Diagnostic Tests, Routine, Humans, Tuberculosis, Molecular Diagnostic Techniques, Biomedical Research

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.

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