ArticleHeliyon2025
Peripheral blood biomarkers as differential diagnostic markers of disease severity in neonates with hyperbilirubinemia.
Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Panaxatriol saponins exert anti-renal fibrosis by suppressing TNF-α mediated inflammation and TGF-β1/Smad3 signaling pathway.Renal failure · 2025Article
- Association between red blood cell distribution width coefficient of variation and post-treatment bilirubin decline velocity in neonatal hyperbilirubinemia.Frontiers in pediatrics · 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
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Blood biomarkers offers an independent insight for the pathophysiology of hyperbilirubinemia. However, they are not practically used for the differential diagnosis of the hyperbilirubinemia severity. Therefore, the current study aimed to assess the differential diagnostic value of peripheral blood biomarkers with disease severity as an alternative. Methods: A cross-sectional study was done on conveniently selected neonates admitted with hyperbilirubinemia during study period. A 4 ml of venous blood was collected for laboratory analysis. The Sysmex KX-21 cellular analysis and Mindray BS-240 automated chemistry analyzer was used for complete blood count and biochemical analysis, respectively. The data were entered into Epi-data (4.6.0) and analyzed by STATA (14) software. The summary statistics were used. The Kruskal Wallis H tests were utilized to compare median differences between groups. To ascertain the diagnostic value, receiver operator characteristic (ROC) curve analysis was performed. Blood biomarkers score area under curve >.7 was selected as the best discriminative marker. The accepted threshold for statistical significance was set at Result: Current study found that red blood cell (RBC) and absolute lymphocyte count (ALC) can differentiate high-risk from low and intermediate-risk groups. Similarly, they can also stratify low-risk group from the intermediate and high-risk groups. Besides, mean cell volume (MCV), absolute neutrophil count (ANC), neutrophil to lymphocyte (NLR) and platelet to lymphocyte ratio (PLR), can exhibit significant discriminative ability to differentiate high-risk groups from intermediate and low-risk groups as well as low-risk groups from intermediate and high-risk groups. Furthermore, for hemolytic type of hyperbilirubinemia, RBC, Hb (hemoglobin), ALC, NLR, and PLR were found as good diagnostic markers to differentiate high risk group for others. Whereas, for non-hemolytic type of hyperbilirubinemia, MCV, ALC, MPV (mean platelet volume) and NLR were found as good discriminative marker of high-risk group form others. Conclusions: Peripheral blood biomarkers were found as acceptable to good early differential diagnostic marker with significant association to disease severity. Thus, assessing of baseline blood biomarkers can help to differentiate disease severity in neonates with hyperbilirubinemia.
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.