Evidence map›Paper›PMID 40205610›Full record

ReviewOne health outlook2025

Advancement in diagnostic approaches for latent tuberculosis: distinguishing recent from remote infections.

Yi En Ding, Matthew Tze Jian Wong, Mohd Nor Norazmi, Venugopal Balakrishnan, Gee Jun Tye

Abstract readReview
In one paragraph

Review in One health outlook, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Yi En DingInstitute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, 11800, Minden, Penang, Malaysia.
Matthew Tze Jian WongInstitute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, 11800, Minden, Penang, Malaysia.
Mohd Nor NorazmiMalaysia Genome and Vaccine Institute, National Institutes of Biotechnology Malaysia, Jalan Bangi, 43400, Kajang, Selangor, Malaysia.
Venugopal BalakrishnanInstitute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, 11800, Minden, Penang, Malaysia.
Gee Jun TyeInstitute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, 11800, Minden, Penang, Malaysia. geejun@usm.my.ORCID http://orcid.org/0000-0002-6707-9505

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) remains as a significant global health threat to date, with latent TB infection (LTBI) serving as a major reservoir for future active disease cases. A practical approach to an effective control and eradication of TB hence, requires an explicit identification of infected patient whom are at high risk of progressing from latent to active TB, particularly in those recently infected individuals. Current diagnostic tools however, including Tuberculin Skin Test and Interferon-Gamma Release Assays, are still lacking for their ability to critically distinguish between recent and remote infections, leading to insufficiency in optimizing targeted preventive treatment strategies. This review examines the limitations of current diagnostic tools and explores novel biomarkers to enhance distinction within the infection timeline in LTBI diagnostics. Advancement in immune profiling, dormancy antigen, along with molecular and transcriptomic approaches holds great promise to develop a diagnostic tools with better accuracy to differentiate recent from remote infections, thereby optimizing targeted interventions to improve TB control strategies. These underscores the need for further research into these emerging diagnostic tools to facilitate an effective public health strategies and contribute to the united efforts in End TB Strategy.

Indexed as

IGRALTBILTBI diagnosticsRecent TB infectionRemote TB infectionTST

Identifiers

PMID40205610
PMCPMC11983811

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.