Automated Author ProfileBarman, Nilima
0000-0001-9664-5636
Barman, Nilima
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 3.2 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Our objectives was to measure the serum zinc level in multidrug-resistant tuberculosis (MDRTB) patients and explore its association with different predictors of MDRTB in comparison with drug-sensitive tuberculosis (DSTB). We recruited 107 MDRTB and 87 DSTB patients from the National Institute of Diseases of the Chest and Hospital (NIDCH), Dhaka, in our study. We have used laboratory data on drug resistance patterns of these patients through the line probe assay. About 5 ml overnight fasting blood was collected from each patient to measure serum zinc level through the graphite furnace atomic absorption spectrophotometry method. Multivariate logistic regression in forward LR method was employed to measure the associated factors of MDRTB. Of them, serum zinc level was found significantly lower in MDRTB patients than DSTB (mean value, 65.1 µg/dl vs. 72.8 µg/dl, p-value<0.001). Younger age (Odds ratio [OR], 0.974; 95% confidence interval [CI], 0.951 – 0.997), female gender (OR, 3.480; 95% CI, 1.519-7.972), BCG unvaccinated individuals (OR, 4.814; 95% CI, 2.228-10.400) and reduced level of serum zinc (OR, 0.955; 95% CI, 0.928 – 0.983) were found as the significant predictors for MDRTB.
Authors
- Barman, Nilima
Our objectives was to measure the serum zinc level in multidrug-resistant tuberculosis (MDRTB) patients and explore its association with different predictors of MDRTB in comparison with drug-sensitive tuberculosis (DSTB). We recruited 107 MDRTB and 87 DSTB patients from the National Institute of Diseases of the Chest and Hospital (NIDCH), Dhaka, in our study. We have used laboratory data on drug resistance patterns of these patients through the line probe assay. About 5 ml overnight fasting blood was collected from each patient to measure serum zinc level through the graphite furnace atomic absorption spectrophotometry method. Multivariate logistic regression in forward LR method was employed to measure the associated factors of MDRTB. Of them, serum zinc level was found significantly lower in MDRTB patients than DSTB (mean value, 65.1 µg/dl vs. 72.8 µg/dl, p-value<0.001). Younger age (Odds ratio [OR], 0.974; 95% confidence interval [CI], 0.951 – 0.997), female gender (OR, 3.480; 95% CI, 1.519-7.972), BCG unvaccinated individuals (OR, 4.814; 95% CI, 2.228-10.400) and reduced level of serum zinc (OR, 0.955; 95% CI, 0.928 – 0.983) were found as the significant predictors for MDRTB.
Authors
- Barman, Nilima