ArticleInfection and drug resistance2022
Clinical Features and Outcomes of Spinal Tuberculosis in Central China.
Article in Infection and drug resistance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 7 citations in OpenAlex.
- Recommendations of the International Consensus Meeting (ICM) 2025 on Spinal Infections: Part B Tubercular Spondylodiscitis.Global spine journal · 2026Article
- Clinical outcomes of individualized surgical pathways in elderly patients with spinal tuberculosis: a retrospective cohort study in eastern China.Frontiers in medicine · 2026Article
- Heterogeneity in longitudinal medication adherence patterns among patients with spinal tuberculosis: a latent class analysis using multi-timepoint follow-up data and associations with clinical outcomes.Frontiers in public health · 2026Article
- Deep Learning for Discrimination of Early Spinal Tuberculosis from Acute Osteoporotic Vertebral Fracture on CT.Infection and drug resistance · 2025Article
- Clinical Features and Treatment Differences Among Tuberculous, Brucellosis, and Pyogenic Spondylitis: A Cohort Study.Infection and drug resistance · 2025Article
- Prediction model for spinal cord injury in spinal tuberculosis patients using multiple machine learning algorithms: a multicentric study.Scientific reports · 2024Article
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 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: The appropriate management of spinal tuberculosis (TB) is challenging for clinicians and the key to treat spinal TB. Surgery and long course anti-TB chemotherapy may not be necessary to all situations. This study aimed to characterize the clinical features and factors affecting treatment outcomes. Patients and Methods: A retrospective study of patients with spinal TB over a 5-year period at a teaching hospital in central China was conducted. Features of patients with spinal TB who received different treatment modalities and factors associated with patient outcomes at the end of chemotherapy were analyzed. Results: Forty-five patients (21 men and 24 women) with spinal TB were available for analysis. The mean age was 55.39 ± 14.94 years. The most common vertebral area involved was the lumbar (42.2%). The mean number of vertebrae involved was 2.20 ± 0.59. 27 patients (60.0%) received surgical treatment, of which 21 (77.8%) received radical surgical treatment. Thirty-five patients (77.8%) had achieved a favorable status. Statistically, there was no significant correlation between favorable status and surgery, but among 27 surgical patients with spinal tuberculosis, patients receiving radical surgery tended to achieve good prognosis ( Conclusion: Although the patients with spinal TB who needed surgical treatment often got a better prognosis when they had radical surgery, surgery was not actually a factor for the favorable outcomes of patients with spinal TB. In different treatment modalities, there was no additional benefit in longer anti-TB chemotherapy periods.
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.