Evidence map›Paper›PMID 29282264›Full record

ArticleBMJ open2017

Comparing the diagnostic accuracy of five common tumour biomarkers and CA19-9 for pancreatic cancer: a protocol for a network meta-analysis of diagnostic test accuracy.

Long Ge, Bei Pan, Fujian Song, Jichun Ma, Dena Zeraatkar, Jianguo Zhou, Jinhui Tian

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 4 pooled it
1.6field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

53 citing papers in PubMed, 4 syntheses or guidelines pooled it, 92 citations in OpenAlex.

  1. Recent advances in diagnostic and therapeutic approaches for pulmonary enteric adenocarcinoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  10. Chemotherapy-associated mutational process signature and genomic alterations associated with outcome in metastatic pancreatic cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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  12. Integrating Salivary Biomarkers CST4 andClinical Medicine Insights. Oncology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 6 institutions in 3 countries.

Long GeThe First Clinical Medical College, Lanzhou University, Lanzhou, China.
Bei PanDepartment of Social Medicine and Health Management, School of Public Health, Lanzhou University, Lanzhou, China.
Fujian SongFaculty of Medicine and Health Science, Norwich Medical School, University of East Anglia, Norwich, UK.
Jichun MaSchool of Clinical Medicine, Gansu University of Traditional Chinese Medicine, Lanzhou, China.
Dena ZeraatkarDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada.
Jianguo ZhouDepartment of Oncology, Affiliated Hospital of Zunyi Medical College, Zunyi, China.
Jinhui TianEvidence-based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
Lanzhou University · CNAffiliated Hospital of Zunyi Medical College · CNFirst Hospital of Lanzhou University · CNGansu University of Traditional Chinese Medicine · CNImpact · CAUniversity of East Anglia · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSurgical resection is the only curative treatment for patients with resectable pancreatic cancer. Unfortunately, 80%-85% of patients present with locally advanced or metastatic unresectable pancreatic cancer at the time of diagnosis. Detection of pancreatic cancer at early stages remains a great challenge due to lack of accurate detection tests. Recommendations in existing clinical practice guidelines on early diagnosis of pancreatic cancer are inconsistent and based on limited evidence. Most of them endorse measuring serum CA19-9 as a complementary test, but also state that it is not recommended for diagnosing early pancreatic cancer. There are currently no other tumour-specific markers recommended for diagnosing early pancreatic cancer. This study aims to evaluate and compare the accuracy of five common tumour biomarkers (CA242,carcino-embryonic antigen (CEA)), CA125, microRNAs and K-ras gene mutation) and CA19-9 and their combinations for diagnosing pancreatic cancer using network meta-analysis method, and to rank these tests using a superiority index. METHODS AND ANALYSIS: PubMed, EMBASE and the Cochrane Central Register of Controlled Trials will be searched from inception to April 2017. The search will include the above-mentioned tumour biomarkers for diagnosing pancreatic cancer, including CA19-9. The risk of bias for each study will be independently assessed as low, moderate or high using criteria adapted from the Quality Assessment of Diagnostic Accuracy Studies 2. Network meta-analysis will be performed using STATA V.12.0 and R software V.3.4.1. The competing diagnostic tests will be ranked by a superiority index. ETHICS AND DISSEMINATION: Ethical approval and patient consent are not required since this study is a network meta-analysis based on published studies. The results of this network meta-analysis will be submitted to a peer-reviewed journal for publication. PROSPERO REGISTRATION NUMBER: CRD42017064627.

Indexed as

Biomarkers, TumorEarly Detection of CancerPancreatic NeoplasmsCA-19-9 AntigenHumansNetwork Meta-Analysis as TopicPredictive Value of TestsResearch DesignBiomarkers, TumorCA-19-9 Antigenca19-9network meta-analysispancreatic cancerprotocolsensitivity and specificitytumor biomarkers

Identifiers

PMID29282264
PMCPMC5770961
OpenAlexW2777447025

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.