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Five common tumor biomarkers and CEA for diagnosing early gastric cancer: A protocol for a network meta-analysis of diagnostic test accuracy.

Abstract Although surgical resection is the recommended treatment for the patients with gastric cancer, lots of patients show advanced or metastatic gastric cancer at the time of diagnosis. Detection of gastric cancer at early stages is a huge challenge because of lack of appropriate detection tests. Unfortunately, existing clinical guidelines focusing on early diagnosis of gastric cancer do not provide consistent and prudent evidence. Serum carcinoembryonic antigen was considered as a complementary test, although it is not good enough to diagnose early gastric cancer. There are no other tumor markers recommended for diagnosing early gastric cancer. This study aims to evaluate and compare the diagnostic accuracy of 5 common tumor biomarkers (CA19-9, CA125, PG, IncRNA, and DNA methylation) and CEA and their combinations for diagnosing gastric cancer through network meta-analysis method, and to rank these tests using a superiority index.
PMID
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Authors

Mayor MeshTerms

Stomach Neoplasms

Keywords
Journal Title medicine
Publication Year Start




PMID- 29742692
OWN - NLM
STAT- MEDLINE
DCOM- 20180515
LR  - 20180515
IS  - 1536-5964 (Electronic)
IS  - 0025-7974 (Linking)
VI  - 97
IP  - 19
DP  - 2018 May
TI  - Five common tumor biomarkers and CEA for diagnosing early gastric cancer: A
      protocol for a network meta-analysis of diagnostic test accuracy.
PG  - e0577
LID - 10.1097/MD.0000000000010577 [doi]
AB  - BACKGROUND: Although surgical resection is the recommended treatment for the
      patients with gastric cancer, lots of patients show advanced or metastatic
      gastric cancer at the time of diagnosis. Detection of gastric cancer at early
      stages is a huge challenge because of lack of appropriate detection tests.
      Unfortunately, existing clinical guidelines focusing on early diagnosis of
      gastric cancer do not provide consistent and prudent evidence. Serum
      carcinoembryonic antigen was considered as a complementary test, although it is
      not good enough to diagnose early gastric cancer. There are no other tumor
      markers recommended for diagnosing early gastric cancer. This study aims to
      evaluate and compare the diagnostic accuracy of 5 common tumor biomarkers
      (CA19-9, CA125, PG, IncRNA, and DNA methylation) and CEA and their combinations
      for diagnosing gastric cancer through network meta-analysis method, and to rank
      these tests using a superiority index. METHODS: PubMed, EMBASE.com, and the
      Cochrane Central Register of Controlled Trials (CENTRAL) will be searched from
      their inception to March 2018. We will include diagnostic tests which assessed
      the accuracy of the above-mentioned tumor biomarkers and CEA for diagnosing
      gastric cancer. The risk of bias for each study will be independently assessed as
      low, moderate, or high using criteria adapted from Quality Assessment of
      Diagnostic Accuracy Studies 2 (QUADAS-2). Network meta-analysis will be performed
      using STATA 12.0 and R 3.4.1 software. The competing diagnostic tests will be
      ranked by a superiority index. RESULTS: This study is ongoing and will be
      submitted to a peer-reviewed journal for publication. CONCLUSION: This study will
      provide systematically suggestions to select different tumor biomarkers for
      detecting the early gastric cancer.
FAU - Shen, Minghui
AU  - Shen M
AD  - Department of Clinical Laboratory, Second Hospital of Lanzhou University.
FAU - Wang, Hui
AU  - Wang H
AD  - Department of Clinical Laboratory, Second Hospital of Lanzhou University.
FAU - Wei, Kongyuan
AU  - Wei K
AD  - Department of General Surgery, First Affiliated Hospital of Lanzhou University,
      Lanzhou, China.
FAU - Zhang, Jianling
AU  - Zhang J
AD  - Department of General Surgery, First Affiliated Hospital of Lanzhou University,
      Lanzhou, China.
FAU - You, Chongge
AU  - You C
AD  - Department of Clinical Laboratory, Second Hospital of Lanzhou University.
LA  - eng
PT  - Journal Article
PT  - Meta-Analysis
PL  - United States
TA  - Medicine (Baltimore)
JT  - Medicine
JID - 2985248R
RN  - 0 (Biomarkers, Tumor)
SB  - AIM
SB  - IM
MH  - Biomarkers, Tumor/*blood
MH  - Early Detection of Cancer/*methods
MH  - Humans
MH  - Neoplasm Staging
MH  - Network Meta-Analysis
MH  - Research Design
MH  - *Stomach Neoplasms/blood/pathology
EDAT- 2018/05/10 06:00
MHDA- 2018/05/16 06:00
CRDT- 2018/05/10 06:00
PHST- 2018/05/10 06:00 [entrez]
PHST- 2018/05/10 06:00 [pubmed]
PHST- 2018/05/16 06:00 [medline]
AID - 10.1097/MD.0000000000010577 [doi]
AID - 00005792-201805110-00011 [pii]
PST - ppublish
SO  - Medicine (Baltimore). 2018 May;97(19):e0577. doi: 10.1097/MD.0000000000010577.