Evidence map›Paper›PMID 41039242›Full record

ArticleBMC infectious diseases2025

Use of interferon-gamma release assay (IGRA) and CXCL-10/IP-10 for latent tuberculosis infection (LTBI) screening in chronic kidney disease and hemodialysis patients.

Juliana Cristina Borges da Silva, Nathália Barcellos Vieira, Marcelo Ribeiro-Alves, Roberto Stefan de Almeida Ribeiro, Carla Cavalheiro da Silva Lemos, Renata Mendes, Conrado Lysandro Rodrigues Gomes, Ana Paula Santos, José Hermógenes Suassuna, Rachel Bregman and 1 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Diagnostic accuracy ofFrontiers in immunology · 2026
    Pooled it
  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

11 authors.

Juliana Cristina Borges da SilvaLaboratory of Immunopathology, Medical Sciences Faculty, Rio de Janeiro State University (UERJ), Rio de Janeiro, RJ, Brazil.
Nathália Barcellos VieiraLaboratory of Immunopathology, Medical Sciences Faculty, Rio de Janeiro State University (UERJ), Rio de Janeiro, RJ, Brazil.
Marcelo Ribeiro-AlvesLaboratory of Clinical Research on STD/AIDS, National Institute of Infectology Evandro Chagas, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil.
Roberto Stefan de Almeida RibeiroLaboratory of Immunopathology, Medical Sciences Faculty, Rio de Janeiro State University (UERJ), Rio de Janeiro, RJ, Brazil.
Carla Cavalheiro da Silva LemosNephrology Division, Pedro Ernesto University Hospital (HUPE), UERJ, Rio de Janeiro, RJ, Brazil.
Renata MendesNephrology Division, Pedro Ernesto University Hospital (HUPE), UERJ, Rio de Janeiro, RJ, Brazil.
Conrado Lysandro Rodrigues GomesNephrology Division, Pedro Ernesto University Hospital (HUPE), UERJ, Rio de Janeiro, RJ, Brazil.
Ana Paula SantosPulmonary and Tisiology Division, HUPE, UERJ, Rio de Janeiro, RJ, Brazil.
José Hermógenes SuassunaNephrology Division, Pedro Ernesto University Hospital (HUPE), UERJ, Rio de Janeiro, RJ, Brazil.
Rachel BregmanNephrology Division, Pedro Ernesto University Hospital (HUPE), UERJ, Rio de Janeiro, RJ, Brazil.
Luciana Silva RodriguesLaboratory of Immunopathology, Medical Sciences Faculty, Rio de Janeiro State University (UERJ), Rio de Janeiro, RJ, Brazil. lrodrigues.uerj@gmail.com.

Funding

Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ) E-26/211.155/2019.
6 · The paper itself

Abstract

backgroundThere is increasing evidence that patients with chronic kidney disease (CKD) are at risk of acquiring latent tuberculosis infection (LTBI) or developing active tuberculosis (TB). However, the diagnosis of LTBI is still a challenge due to the limitations of current tests, which rely on the host’s cellular immune response against Mycobacterium tuberculosis (Mtb) – that may be compromised in this population. Herein, we assessed the prevalence of LTBI and its predictors among patients with CKD, including those undergoing routine hemodialysis (HD).

methodsA prospective cross-sectional study was conducted in a tertiary nephrology referral center in Rio de Janeiro, Brazil. LTBI was diagnosed using interferon-gamma release assay (IGRA; QuantiFERON-TB Gold Plus, QFT-Plus). CXCL-10/IP-10 release assay was measured in QFT-Plus supernatants.

resultsA total of 123 patients were enrolled, including 111 (90.2%) from the CKD group and 12 (9.8%) from the HD group. IGRA results positive in 39 (31.7%) overall: 36/111 (32.4%) in CKD group and 3/12 (25%) in HD group. Indeterminate IGRA results were found in 4/123 (3.3%) patients. Positive CXCL-10/IP-10 responses were observed in 49/123 (39.8%) patients. A significant agreement was observed between IGRA and CXCL-10/IP-10 results, with concordance in 69% of cases (p < o.05). Multivariate regression analysis identified that lack of BCG vaccination with (adjusted odds ratio [aOR] 7.4; 95% CI 2.15–25.48; p = 0.0014) and a positive CXCL-10/IP-10 result (aOR 4.48; 95% CI 1.87–10.76]; p = < 0.001) as independent risk factors for LTBI in both CKD and HD patients.

conclusionThe IGRA QFT-Plus was shown to be a useful method in the surveillance of LTBI in critical stages of CKD and routine hemodialysis. Mtb-specific CXCL-10/IP-10 responses were associated with a positive IGRA and could provide an useful adjuvant LTBI biomarker in this population.

Indexed as

Chemokine CXCL10Interferon-gamma Release TestsLatent TuberculosisRenal DialysisRenal Insufficiency, ChronicAdultAgedBrazilCross-Sectional StudiesFemaleHumansMaleMass ScreeningMiddle AgedPrevalenceProspective StudiesChemokine CXCL10CXCL10 protein, humanChronic kidney diseaseHemodialysisLatent tuberculosis infectionMycobacterium tuberculosisRenal failureTuberculosis

Identifiers

PMID41039242
PMCPMC12490170

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Registered trials

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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.