Automated Author ProfileC., Tikka
C., Tikka
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: 1.5 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Objective: To analyze for which reasons the certainty of evidence was downgraded in neonatal Cochrane reviews.Methods: We performed a systematic meta-epidemiological review for Cochrane neonatal reviews published in 2022-2024. The search was performed in January 2025, and all reviews were screened by two authors. We extracted the information from the summary of findings tables. As the main outcome we compared the reasons for downgrading per evidence certainty categories. Secondary outcomes included the analysis of null effects and comparison of confidence interval width. Chi2 was used to analyze the categorized variables.Results: We included 54 reviews with 467 outcomes of which evidence certainty wasrated very low (35%), low (43%), moderate (20%), and high (2%). Imprecision and risk of bias were the most frequent reasons for downgrading certainty of evidence (p<0.001). Outcomes with effect estimates including the null were more often downgraded for imprecision, whereas outcomes without null effects were more often downgraded for risk of bias. A strong association was observed between certainty level and null effects: very low certainty evidence most often included the null effect, followed sequentially by low, moderate, and high certainty evidence (p<0.001). Among dichotomous outcomes, wide confidence intervals were the predominant driver of imprecision, with CI width clearly associated both with certainty categories and with the frequency of downgrading due to imprecision.Conclusion: The neonatal evidence was mainly limited due to imprecision and risk of bias. This indicates that larger scale high-quality studies in various neonatal topics are still greatly warranted.
Authors
- karger, figshare admin ;
- R., Karvinen ;
- D., DeLuca ;
- C., Tikka ;
- T., Varrio ;
- I., Kuitunen
Objective: To analyze for which reasons the certainty of evidence was downgraded in neonatal Cochrane reviews.Methods: We performed a systematic meta-epidemiological review for Cochrane neonatal reviews published in 2022-2024. The search was performed in January 2025, and all reviews were screened by two authors. We extracted the information from the summary of findings tables. As the main outcome we compared the reasons for downgrading per evidence certainty categories. Secondary outcomes included the analysis of null effects and comparison of confidence interval width. Chi2 was used to analyze the categorized variables.Results: We included 54 reviews with 467 outcomes of which evidence certainty wasrated very low (35%), low (43%), moderate (20%), and high (2%). Imprecision and risk of bias were the most frequent reasons for downgrading certainty of evidence (p<0.001). Outcomes with effect estimates including the null were more often downgraded for imprecision, whereas outcomes without null effects were more often downgraded for risk of bias. A strong association was observed between certainty level and null effects: very low certainty evidence most often included the null effect, followed sequentially by low, moderate, and high certainty evidence (p<0.001). Among dichotomous outcomes, wide confidence intervals were the predominant driver of imprecision, with CI width clearly associated both with certainty categories and with the frequency of downgrading due to imprecision.Conclusion: The neonatal evidence was mainly limited due to imprecision and risk of bias. This indicates that larger scale high-quality studies in various neonatal topics are still greatly warranted.
Authors
- karger, figshare admin ;
- R., Karvinen ;
- D., DeLuca ;
- C., Tikka ;
- T., Varrio ;
- I., Kuitunen