ArticleBMJ open2018
Sexual inequality in incident tuberculosis: a cohort study in Taiwan.
Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 15 citations in OpenAlex.
- Trends in the Notification Rates and Treatment Outcome of Tuberculosis in Shandong Province, China, 2005-2021.Infection and drug resistance · 2024Article
- Influence of Testosterone in Neglected Tropical Diseases: Clinical Aspects in Leprosy and In Vitro Experiments in Leishmaniasis.Tropical medicine and infectious disease · 2023Article
- Bidirectional Relationship Between Tuberculosis and Hypothyroidism: An 18-Year Nationwide Population-Based Longitudinal Cohort Study.Frontiers in medicine · 2022Article
- Prevalence and determinants of TB infection in a rural population in northeastern Myanmar.BMC infectious diseases · 2020Article
- Sex differences and HIV status of tuberculosis in adults at a rural hospital in southern Ethiopia: an 18-year retrospective cross-sectional study.African health sciences · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveAnimal studies showed that male subjects had lower activity of immune response to infections than female subjects, which may increase the risk of the development of tuberculosis in male population. This study intended to investigate the risk of incident tuberculosis in male and female adults in Taiwan.
designThis is a retrospective cohort study.
settingThe present analyses used data of Taiwan National Health Interview Survey 2001, 2005 and 2009, National Register of Deaths Dataset, and National Health Insurance Research Database from 2000 to 2013.
participantsA total of 43 424 subjects with a mean age of 43.04 years were analysed. PRIMARY OUTCOME MEASURES: Incidence of tuberculosis.
resultsDuring 381 561 person-years of follow-up period, incident tuberculosis was recognised in 268 individuals. The incidence rates of tuberculosis were 97.56 and 43.24 per 100 000 person-years among male and female participants, respectively. Kaplan-Meier curves comparing male and female subjects showed statistical significance (log-rank test, P value<0.01). After adjusting for subjects' demographics and comorbidities, men showed increased risks of incident tuberculosis (adjusted HR, 1.68; 95% CI 1.21 to 2.34; P value<0.01) compared with women. On subgroup analysis, after stratifying by age, smoking and alcohol use, men had a higher risk of incident tuberculosis than women in all patient subgroups, except those who were current smokers.
conclusionsThis study suggests that men had a higher risk of incident tuberculosis than women. Future tuberculosis control programmes should particularly target the male population.
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.