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The effect on absence of clinical history and demographic data in diagnostic accuracy of genitourinary cytopathological cases among undergraduate medical laboratory technology (MLT) students
Siti Norbaya Mohamad1, Mohd Nazri Abu2, Najwa Nadeera Roslan3, Nur Nadirah Abd Malek4, Nur Adlina Alihad5.
Introduction: Genitourinary cytology is a cytomorphological study of benign and malignant urinary cells under microscopic observation. Slide observers were presented with glass slides devoid of demographic information and clinical history in this research. The aims are to evaluate inter- and intra-observer reliability and diagnostic accuracy in genitourinary cytopathology patients without relying on the clinical history and demographic information. Meth- ods: A correlational investigation was conducted at the cytology laboratory, Centre for Medical Laboratory Tech- nology (MLT) Studies, Faculty of Health Sciences, Universiti Teknologi MARA (UiTM), Puncak Alam Selangor. Five undergraduate students were recruited as slide observers to screen 26 genitourinary cases using a light microscope. The Fleiss’ and Cohen’s kappa values were used to assess inter- and intra-observer reliability, respectively, and the receiver operating characteristic (ROC) curve was employed to assess diagnostic accuracy in the absence of clini- cal history. All collected data were analysed using SPSS software. Results: Inter- and intra-observer reliability were interpreted as ‘fair agreement’ with an average sensitivity of 100%, specificity of 13.16%, Positive Predictive Value (PPV) of 70.4 percent, Negative Predictive Value (NPV) of 100%, and a Likelihood Ratio (LR) of 2.454. The diagnosis accuracy of these genitourinary cases is 70.5%. Conclusion: Undergraduate students in MLT, UiTM are sufficiently competent to identify and diagnose genitourinary cytology slides based on cell’s morphological characteristics with- out the assistance of demographic data or patient history.
Affiliation:
- Faculty of Health Sciences, Universiti Teknologi MARA Selangor Branch, Puncak Alam Campus, 42300 PuncakAlam, Selangor, Malaysia , Malaysia
- Faculty of Health Sciences, Universiti Teknologi MARA Selangor Branch, Puncak Alam Campus, 42300 PuncakAlam, Selangor, Malaysia , Malaysia
- Faculty of Health Sciences, Universiti Teknologi MARA Selangor Branch, Puncak Alam Campus, 42300 PuncakAlam, Selangor, Malaysia , Malaysia
- Faculty of Health Sciences, Universiti Teknologi MARA Selangor Branch, Puncak Alam Campus, 42300 PuncakAlam, Selangor, Malaysia , Malaysia
- Faculty of Health Sciences, Universiti Teknologi MARA Selangor Branch, Puncak Alam Campus, 42300 PuncakAlam, Selangor, Malaysia , Malaysia
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Indexation |
Indexed by |
MyJurnal (2021) |
H-Index
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3 |
Immediacy Index
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0.000 |
Rank |
0 |
Indexed by |
Scopus 2020 |
Impact Factor
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CiteScore (0.2) |
Rank |
Q4 (Medicine (all)) |
Additional Information |
SJR (0.144) |
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