Evidence map›Paper›PMID 39935710›Full record

ArticleInternational journal of general medicine2025

Dynamic Challenges of Active Tuberculosis: Prevalence and Risk Factors of Co-Infection in Clinical and Microbiological Characteristics at King Abdulaziz University Hospital, Jeddah, Saudi Arabia.

Jawahir A Mokhtar, Dalya M Attallah, Asif Ahmad Jiman-Fatani, Mohammed W Al-Rabia, Mona Abdulrahman Alqarni, Bandar Hasan Saleh, Maysaa Mohammed Amboon, Tarfa A Altorki, Khalil K Alkuwaity, Turki Abujamel and 10 more

Abstract read
In one paragraph

Article in International journal of general medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. 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

20 authors.

Jawahir A MokhtarDepartment of Clinical Microbiology and Immunology, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.ORCID 0000-0001-7563-6941
Dalya M AttallahDepartment of Clinical Microbiology Laboratory, King Abdulaziz University Hospital, Jeddah, 21589, Saudi Arabia.ORCID 0009-0006-0082-1177
Asif Ahmad Jiman-FataniDepartment of Clinical Microbiology and Immunology, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.ORCID 0000-0003-2173-9560
Mohammed W Al-RabiaDepartment of Clinical Microbiology and Immunology, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Mona Abdulrahman AlqarniDepartment of Clinical Microbiology and Immunology, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Bandar Hasan SalehDepartment of Clinical Microbiology and Immunology, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.ORCID 0000-0002-3205-2986
Maysaa Mohammed AmboonDepartment of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, 21589, Saudi Arabia.
Tarfa A AltorkiVaccines and Immunotherapy Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, 21589, Saudi Arabia.ORCID 0009-0001-0374-2187
Khalil K AlkuwaityVaccines and Immunotherapy Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, 21589, Saudi Arabia.
Turki AbujamelVaccines and Immunotherapy Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, 21589, Saudi Arabia.
Reham KakiDepartment of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Taghreed Nassir AlbarakatiMicrobiology Unite in King Fahd General hospital Jeddah (KFHJ), Jeddah, Saudi Arabia.
Hussam DaghistaniDepartment of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University Jeddah, Jeddah, 21589, Saudi Arabia.
Mazen A IsmailDepartment of Medical Education, Faculty of Medicine, King Abdulaziz University, Jeddah, 21589, Saudi Arabia.
Ohood AlharbiDepartment of Microbiology and Parasitology, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia.ORCID 0000-0002-8720-5054
Ibrahim Ismail Mohammed AbuDepartment of Community Medicine, Faculty of medicine, King Abdulaziz University, Jedda, 21589, Saudi Arabia.ORCID 0000-0002-8800-5388
Abdelbagi AlfadilDepartment of Clinical Microbiology and Immunology, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.ORCID 0000-0002-4070-6257
Karem IbrahemDepartment of Clinical Microbiology and Immunology, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.ORCID 0009-0005-9473-3591
Mohammed MufrrihDepartment of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, 21589, Saudi Arabia.ORCID 0000-0002-6834-2379
Ahmad M SaitDepartment of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, 21589, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tuberculosis (TB) is a major public health issue in Saudi Arabia, particularly impacting the elderly. Immunocompromising conditions, including comorbidities, malignancies, and the use of immunosuppressive agents, are major risk factors for active TB (ATB). Objective: To analyze clinical factors and estimate mortality in TB and drug-resistant cases. Methods: This retrospective study analyzed medical records of 12,494 patients at KAUH (2019-2021), identifying 131 confirmed TB cases with comprehensive data on demographics, clinical features, comorbidities, diagnostics, and outcomes. Data were analyzed using SPSS, with chi-square and logistic regression identifying risk factors. Statistical significance was determined at a threshold of p < 0.05. In our study, logistic regression was employed to identify significant predictors of mortality among TB patients. The results were presented using beta coefficients (B) to quantify the relationship between predictors and the outcome, along with the adjusted odds ratio (AOR) to provide an interpretable measure of the strength of these associations. Results: Of the 131 TB patients involved in this paper, a higher incidence of pulmonary TB was observed among men under 30 years old. This group also showed a higher mortality rate due to comorbidities such as renal failure, human immunodeficiency virus (HIV), and autoimmune disease. The risk of mortality was heightened by 69.47% with drug susceptibility. Additionally, 19.85% of the patients had multidrug-resistant TB (MDR-TB), and 10.69% had extensively drug-resistant TB (XDR-TB). Patients undergoing hemodialysis, and those with respiratory comorbidities, cancer, diabetes, and smoking were found to have a higher mortality hazard, indicating these as significant risk factors for TB. Conclusion: This study highlights TB's prevalence and drug resistance at KAUH, emphasizing high-risk groups, including males and young adults. Effective strategies, targeted interventions, and future research are vital for reducing mortality.

Indexed as

Drug ResistancePrevalencePulmonaryRisk FactorTuberculosis

Identifiers

PMID39935710
PMCPMC11812454

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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.