ArticleGerman medical science : GMS e-journal2014
Population dynamics and tuberculosis: a cross sectional study of an overlooked disease in Saudi Arabia.
Article in German medical science : GMS e-journal, 2014. 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.
- High non-compliance rate with anti-tuberculosis treatment: a need to shift facility-based directly observed therapy short course (DOTS) to community mobile outreach team supervision in Saudi Arabia.BMC public health · 2019Trial
- Treatment outcomes among tuberculosis patients in Jeddah, Saudi Arabia: Results of a community mobile outreach directly observed Treatment, Short-course (DOTS) project, compared to a standard facility-based DOTS: A randomized controlled trial.Journal of clinical tuberculosis and other mycobacterial diseases · 2021Article
- Impact of mobile teams on tuberculosis treatment outcomes, Riyadh Region, Kingdom of Saudi Arabia, 2013-2015.Journal of epidemiology and global health · 2018Article
- Burden of Multidrug Resistant Mycobacterium tuberculosis Among New Cases in Al-Madinah Al-Monawarah, Saudi Arabia.Infectious disorders drug targets · 2017Article
- Pulmonary manifestations in systemic lupus erythematosus: association with disease activity.Respirology (Carlton, Vic.) · 2015Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInternational travel, migration and human population movements facilitate the spread of tuberculosis (TB).
objectiveTo study the impact of poorly screened expatriates working in Saudi Arabia on the local incidence of TBs. PATIENTS AND
methodsThis cross sectional study was carried out in the Chest Disease Hospital, Taif. All confirmed cases of TB from June 2009 to May 2010 admitted to the hospital were enrolled. Inclusion criteria were diagnosed cases of TB (pulmonary & extra-pulmonary) in patients between the ages of 14 to 65 years. Patients with HIV and coexistent malignancies were excluded. The age, gender and ethnic group of each patient was recorded, and patients were divided into two groups. Of the two groups, Group A consisted of Taif residents and group B of patients referred from other cities in the country.
resultsOf the 686 cases studied, 370 (54%) were Saudi nationals (Group A = 80 & Group B = 290) and 316 (46%) cases were from other countries. Males outnumbered females and most of the patients were aged 20 to 29 years. The number of cases from the areas close to the pilgrimage sites, i.e. Makah (233) and Jeddah (275), outnumbered those in Taif (110).
conclusionsOur study identifies an increased prevalence of TB cases in areas close to the pilgrimage (Group B). The higher proportion of non-Saudi TB patients in group B is most likely explained by the higher number of poorly screened illegal expatriates in the region.
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.