ArticleJournal of Taibah University Medical Sciences2024
Immunophenotypic properties association of CLL and ALL patient cells by flow cytometry analysis.
Article in Journal of Taibah University Medical Sciences, 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.
- Papillary thyroid carcinoma in a patient with long-standing chronic lymphocytic leukemia: A case report.Oncology letters · 2026Article
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
Chronic lymphocytic leukemia (CLL) and acute lymphoblastic leukemia (ALL) are blood cancers that affect lymphocytes and can be diagnosed by flow cytometry. Flow cytometry is a laboratory technique that analyzes cell properties, including cell surface markers such as cluster of differentiation 19 (CD19). Objective: The main objective of this study was to explore the correlation of the number of CD19-positive cells with other CD antigens in patients with CLL and ALL. Methods: After receiving ethical approval (Approval No. 5S/401), blood was collected from participants who had been diagnosed by a physician. Then the collected blood was prepared for flow cytometry analysis according to the protocol by staining with fluorescent antibodies. Results: The results of the current study showed that sex and different age groups had no statistical influence on the number of CD19-positive cells in the patients evaluated. The generated models did not reveal an association with the number of CD19-positive cells in patients with CLL and ALL. In patients with CLL, the number of cells expressing CD5, CD20, CD23, and CD200 was significantly and positively related with the number of CD19-positive cells. In patients with ALL, the number of cells expressing CD79 and CD99 was significantly and positively correlated with the number of CD19-positive cells. This comparison study also found that in patients with CLL, the number of CD19-positive cells was significantly higher than the number of cells expressing CD20, CD23, and CD200. In patents with ALL, there was a significantly higher number of CD19-positive cells than CD34-positive and CD79-positive cells. Conclusion: In patients with CLL, there was a strong positive correlation between the number of CD19-positive cells and the number of cells expressing CD5, CD20, CD23, and CD200. Additionally, in patients with ALL, there was a positive correlation of CD79 and CD99 with the number of CD19-positive cells.
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.