ArticleActa informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH2024
Evaluation of Human Carbonic Anhydrase II (CA-II) Concentration Using ELISA: Insights into Optical Density's Role in Biomarker Quantification for Cryptorchidism Research.
Article in Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Comparative Analysis of Carbonic Anhydrase-II Expression Across Undescended Testes Sprague Dawley Model with Coenzyme Q10 Treatment.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Carbonic Anhydrase II (CA-II) plays a pivotal role in various physiological processes, including maintaining acid-base balance. Its implications in testicular health, especially cryptorchidism, make it an essential focus for researchers. ELISA is widely used to measure biomarker concentrations, with OD serving as a key indicator. Understanding the precision of OD measurements for CA-II can enhance its diagnostic and research applications. Objective: This study aims to evaluate the relationship between OD and CA-II concentration using linear regression analysis, thereby establishing a quantitative framework for accurate and reproducible CA-II measurements. By validating the OD-to-concentration relationship, this research will aid in developing standardized protocols that can improve diagnostic reliability, enhance monitoring of disease progression, and support therapeutic interventions targeting CA-II. Methods: Standardized ELISA was employed to determine CA-II concentrations across sample groups, recording OD at specific wavelengths. Data were analyzed for linearity, group differences using ANOVA, and pairwise comparisons via Tukey's HSD test. Correlation analysis was performed to evaluate the relationship between CA-II concentration and OD. Results: A linear regression model (y=0.3758x+0.1604) demonstrated a nearly perfect R2 value of 0.9957. Statistical tests revealed a strong correlation (0.998) between CA-II concentration and OD values. ANOVA did not indicate significant differences among concentration quartiles; however, the data strongly supported OD's use as a reliable proxy for CA-II measurement. Conclusion: The established linear relationship between CA-II concentration and OD confirms the accuracy of ELISA in CA-II measurement. This methodology supports future investigations into CA-II's involvement in testicular health, potentially aiding in diagnostics and understanding of conditions such as cryptorchidism.
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.