ArticleAnnals of African medicine2026
Comparison of Visual Assessment and Hemolysis Index in Detecting Hemolysis across Common Biochemical Assay: Implications for Sample Rejection in Clinical Laboratory Practice.
Article in Annals of African medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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
introductionHemolysis is a common preanalytical interference in clinical laboratories, affecting up to 4% of blood samples. It can significantly impact the accuracy of test results, potentially leading to misdiagnosis and inappropriate treatment.
objectiveTo quantify the effects of hemolysis on routine clinical biochemistry parameters by comparing visual assessment with machine-based hemolysis indices (HIs). METHODOLOGY: This cross-sectional study was conducted at AIIMS, Kalyani, from 2021 to 2023. Residual serum samples were used to assess the impact of mechanically induced hemolysis on 40 biochemical parameters measured using a Vitros 4600 analyzer. A semiquantitative visual grading scale was developed and compared to the analyzer's quantitative HI thresholds. Discrepancies in sample rejection rates between visual and automated methods were analyzed using the hospital's electronic health record database. STATISTICAL ANALYSIS: Data analysis included calculating rejection rates and comparing differences between visual and HI-based methods for each analyte.
resultsVisual assessment categorized most samples as "no hemolysis" (91.86%-100%), with mild hemolysis (1.43%-9.09%) being common and severe hemolysis (0.41%-0.62%) rare. HI-based detection showed higher rejection rates for analytes such as potassium (1.58% higher), phosphate (1.07%), and liver enzymes. Conversely, lower rejection rates were observed for creatinine (+0.75%), urea (+0.79%), and electrolytes. Discrepancies exceeding 0.5% were noted for frequently tested analytes, raising the concerns about the reliability of visual assessment for specific parameters.
conclusionOptimizing hemolysis assessment protocols by aligning HI thresholds with analytical sensitivity and clinical needs shows promise for improving laboratory result accuracy and patient care.
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.