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Biomarkers for detecting malignant pleural mesothelioma: Protocol for a reanalysis of published data based on

Xiangyi Zan1,2,3, Yuping Wang2,3, Junnian Shi1

  • 1Department of Respiratory, Lanzhou University Second Hospital, Lanzhou University Second Clinical Medical College.

Medicine
|June 14, 2019
PubMed
Abstract

Insights

This study evaluates systematic reviews on biomarkers for malignant pleural mesothelioma (MPM) diagnosis. It aims to identify the best diagnostic biomarker by assessing review quality and reanalyzing data.

Area of Science:

  • Oncology
  • Biomarker Research
  • Systematic Review Methodology

Background:

  • Malignant pleural mesothelioma (MPM) is an aggressive cancer linked to asbestos exposure.
  • Early diagnosis is crucial for patient survival, yet effective treatments remain limited.
  • Existing systematic reviews (SRs) assess diagnostic biomarkers for MPM, but their quality and comparative performance are unclear.

Purpose of the Study:

  • To critically assess the methodological quality of existing SRs on MPM diagnostic biomarkers.
  • To re-evaluate published data from these SRs to identify the optimal biomarker for early MPM detection.
  • To provide evidence-based guidance on selecting the most effective diagnostic biomarker for MPM.

Main Methods:

  • Comprehensive literature search across major databases (PubMed, Embase, Cochrane, Web of Science) for relevant SRs.
  • Methodological quality assessment of included SRs using the Assessment of Multiple Systematic Reviews-2 (AMSTAR-2) tool.
  • Comparative analysis of biomarker diagnostic accuracy using standard pairwise and adjusted indirect meta-analysis.

Main Results:

  • Results are pending publication in a peer-reviewed journal.
  • The study will present a comparative analysis of diagnostic performance for various MPM biomarkers.
  • Identification of the biomarker with superior diagnostic accuracy based on the re-analysis of SR data.

Conclusions:

  • This study will identify the most effective biomarker for the early diagnosis of malignant pleural mesothelioma.
  • Findings will guide clinical practice and future research in MPM diagnostics.
  • The re-analysis of SRs will offer a robust assessment of biomarker utility in MPM.

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