ArticleBMC infectious diseases2025
Risk factors for latent tuberculosis infection clustering among the elderly: a population-based cross-sectional study in Eastern China.
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 6 papers, 1 of them a synthesis that pooled 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.
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
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prevalence of latent tuberculosis infection in Malaysia: the first systematic review and meta-analysis.BMC infectious diseases · 2026Pooled it
- Prevalence of tuberculosis-related chest radiographic abnormalities among individuals with latent tuberculosis infection in Gulf Cooperation Council countries: A systematic review and meta-analysis.New microbes and new infections · 2026Review
- The latent tuberculosis infection survey using two interferon γ release assay tests among the elderly in a well-confined rural county in Eastern China.BMC geriatrics · 2025Article
- Ambient ammonium exposure is associated with physical dysfunction in older adults in China.Scientific reports · 2025Article
- Nano-Infrared Detection and Identification of Bacteria at the Single-Cell Level.Analytical chemistry · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTuberculosis (TB) remains a major global health threat. Mass screening effectively detects hidden TB cases and latent tuberculosis infections (LTBI), crucial for prevention. This study aims to use IFN-γ release assay (IGRA) screening in Deqing elderly reveals hidden TB and LTBI cases, explore the risk factors influencing the clustering of LTBI.
methodsA cross-sectional study was conducted in 2023 among elderly residents (aged 60 years or above) in Deqing County using IGRA test (AIMTB). Participants were sampled from 13 towns or sub-districts proportional to their populations (26,234 participants, 19.01% of the elderly population aged 60 and above in Deqing). Demographic information and comorbidities were collected. Spatial autocorrelation analysis was conducted at the village level to identify LTBI clusters, and logistic regression was used to explore clustering risk factors by comparing population characteristics in hot spots versus cold spots.
resultsOf the 26,234 participants, 25,952 with complete data and definite IGRA results were included in the analysis. 1,878 were diagnosed with LTBI, resulting in an overall prevalence of 7.34%. LTBI prevalence was higher in males (8.69% vs. 6.01%, P < 0.0001), those aged over 70 and 80 (8.80% vs. 7.24% vs. 6.66%, P < 0.001), and individuals with low or high BMI (8.06% vs. 7.91% vs. 6.75%, P < 0.0001), smokers (8.89% vs. 6.77%, P < 0.001), and alcohol consumers (8.77% vs. 6.77%, P < 0.0001). Spatial analysis revealed 18 villages as cold spots and 5 as hot spots. Multivariable logistic regression of cold and hot spots identified age (70-79) (OR = 1.550, 95% CI = 1.225-1.962, P < 0.001) and alcohol consumers (OR = 1.495, 95% CI = 1.139-1.967, P = 0.004) are clustering risk factors. BMI (< 18.5) (OR = 0.451, 95%CI = 0.319-0.637, P < 0.001), and literate are clustering protective factors (OR = 0.556, 95%CI = 0.425-0.727, P < 0.001).
conclusionThis study underscores the high burden of LTBI among elderly males and individuals with certain risk factors in Deqing County. Identifying age and alcohol consumers as key factors in LTBI clustering suggests targeted interventions in high-risk villages could enhance TB prevention and control efforts.
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.