Classifying multiple lung cancers using morphological features: a meta-analysis.

Classifying multiple lung cancers using morphological features: a meta-analysis. J Immunoassay Immunochem. 2020 Jun 24;:1-16 Authors: Mlika M, Zorgati M, Mezni FE Abstract Multiple lung cancers may be intrapulmonary metastases or multiple primaries. Management and prognosis of both entities are different and make the pathologist's role challenging. In fact, distinguishing both entities may be difficult especially when the tumors present the same microscopic subtype. The microscopic diagnoses of these tumors have been improved based on the 2015 WHO classification. The aim of the authors was to assess the diagnostic value of morphologic features in comparison to the gold standard test represented by molecular testing in the distinction between intrapulmonary metastases and multiple lung primaries. To retrieve all eligible articles, PubMed and Embase databases and Cochrane Library were comprehensively searched from 1999 to 2020 with limitation to French andEnglish language. The Meta-Disc software 5.1.32 was used to conduct this meta-analysis. The pSEN, pSPE, NLR, PLR, and DOR with the 95% confidence intervals were calculated. The area under the SROC was calculated based on the SEN and SPE of each study. Q test and I2 statistics were carried out to explore the heterogeneity among studies. P value <.1 for q test or I2 value >50% represented substantial between-study heterogeneity. Meta-regressions were performed to explo...
Source: Journal of Immunoassay and Immunochemistry - Category: Biochemistry Tags: J Immunoassay Immunochem Source Type: research