ArticleAlimentary pharmacology & therapeutics2025
Crohn's Disease With Latent Tuberculosis Infection or Intestinal Tuberculosis: Rapid Discrimination by Targeted Next-Generation Sequencing.
Article in Alimentary pharmacology & therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Urinary lipoarabinomannan for gastrointestinal tuberculosis: Another tool in the kit.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2026Article
- The Overlap Between Crohn's Disease and Intestinal Tuberculosis: A Never-Ending Story.Medicina (Kaunas, Lithuania) · 2026Review
- Acute intestinal obstruction caused by multifocal nodular inflammatory disease of the small intestine: a case report and literature review.BMC surgery · 2026Review
- Analysis of risk factors for latent tuberculosis infection among type 2 diabetics: a hospital-based multicenter cross-sectional study.Frontiers in cellular and infection microbiology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDiscriminating Crohn's disease (CD) with latent tuberculosis infection (LTBI) from intestinal tuberculosis (ITB) in tuberculosis-endemic regions remains challenging.
aimTo assess whether targeted next-generation sequencing (tNGS) could be an efficient method for ITB diagnosis and discrimination from CD with LTBI.
methodsThe study was conducted prospectively from September 2020 until December 2023. We recruited patients with undetermined intestinal ulcers and positive interferon-gamma release assay. We compared tNGS (using fresh biopsy tissue samples from ulcer bases) to pathological detection of caseous necrotising granuloma, acid-fast bacillus (AFB) staining, tuberculosis polymerase chain reaction (TB-PCR) for diagnostic efficiency. ITB was diagnosed based on cure by anti-tuberculosis therapy and comprehensive clinical evaluation.
resultsOf the 100 patients included, 66 had ITB and 34 had CD with LTBI. The sensitivity, specificity, positive predictive value and negative predictive value of tNGS for ITB were 83% (72%-91%), 100% (87%-100%), 100% (92%-100%) and 76% (60%-87%), respectively. TNGS had significantly higher diagnostic sensitivity than AFB staining [15% (4%-39%), p < 0.05], TB-PCR [22% (12%-36%), p < 0.05] and detection of caseous necrotising granulomas [17% (9%-28%), p < 0.05]. The models combining multiclinical factors increased sensitivity (97% vs. 83%) than tNGS alone. No patients with CD and LTBI had positive tNGS.
conclusionsTNGS using fresh biopsy tissue from ulcer bases is highly sensitive and specific, with superiority over other traditional diagnostic methods for ITB detection. TNGS could facilitate rapid diagnosis of ITB and discrimination from CD with LTBI, particularly in high TB-endemic countries.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.