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- W2049573495 abstract "We read with interest the paper by Giles et al (2003) on the abnormal expression of p53 as a prognostic marker in chronic lymphocytic leukaemia and we would like to make a brief comment. In order to assess the reproducibility of p53 detection by two different pathologists, the authors used Pearson's correlation coefficient (r) and referred to Table I of their paper, which led them to state that ‘No investigator effect was seen, either in terms of the number of cells deemed positive for p53 expression or in the grading of positivity (Table I). The investigators’ results were highly associated with each other (r = 0·980; P < 0·001) (Fig 2)’. However, it is our opinion that both r and Table I were insufficient to make such a statement. As Bland & Altman (1986) pointed out in their classic paper, r measures the strength of a relationship between two variables, not the agreement between them. Indeed, we could have perfect correlation (e.g. r value near 1) if the points in Fig 2 laid along any straight line, whereas we would only have perfect agreement if the points in the same figure laid along the line of equality (which they actually did). However, Table I displays the grading of p53 positivity according to each pathologist, but the fact that investigator 1 found a mean of 2·5% strongly (3+) positive cells compared with investigator 2, who found a mean of 2·9% cells with the same grading, does not mean anything. Indeed, they could be classifying completely different cells as 3+ and this table would not tell us the difference. In summary, although we truly believe that there was a very good agreement between both pathologists in the study by Giles et al (2003), we think that this paper would benefit from a formal analysis of reproducibility as provided by Bland–Altman technique (Bland & Altman, 1986) or Passing–Bablok regression equation (Passing & Bablok, 1983)." @default.
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- W2049573495 date "2003-11-01" @default.
- W2049573495 modified "2023-09-27" @default.
- W2049573495 title "Inappropriate analysis of reproducibility" @default.
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- W2049573495 doi "https://doi.org/10.1046/j.1365-2141.2003.04661.x" @default.
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