Evidence map›Paper›PMID 30661224›Full record

ReviewPathology oncology research : POR2020

Current Status and Perspective Biomarkers in AFP Negative HCC: Towards Screening for and Diagnosing Hepatocellular Carcinoma at an Earlier Stage.

Ping Luo, Sanyun Wu, Yalan Yu, Xinliang Ming, Shuo Li, Xuelan Zuo, Jiancheng Tu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Pathology oncology research : POR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 144 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
144citing papers in PubMed, 1 pooled it
15.0field-weighted citation impact, top 1% 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

144 citing papers in PubMed, 1 synthesis or guideline pooled it, 237 citations in OpenAlex.

  1. Pooled it
  2. PD-L1Technology in cancer research & treatment
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84 more citing papers are in PubMed but not listed here.

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 2 institutions in 1 country.

Ping LuoDepartment of Clinical Laboratory Medicine & Center for Gene Diagnosis, Zhongnan Hospital of Wuhan University, Wuhan, China.
Sanyun WuDepartment of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Yalan YuDepartment of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Xinliang MingDepartment of Clinical Laboratory Medicine & Center for Gene Diagnosis, Zhongnan Hospital of Wuhan University, Wuhan, China.
Shuo LiDepartment of Clinical Laboratory Medicine & Center for Gene Diagnosis, Zhongnan Hospital of Wuhan University, Wuhan, China.
Xuelan ZuoDepartment of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Jiancheng TuDepartment of Clinical Laboratory Medicine & Center for Gene Diagnosis, Zhongnan Hospital of Wuhan University, Wuhan, China. jianchengtu@whu.edu.cn.
Zhongnan Hospital of Wuhan University · CNWuhan University · CN

Funding

National Basic Research Program of China 2012CB720605
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is one of the most malignant cancer with high morbidity and mortality which lead to a serious burden to society. AFP (alpha-fetoprotein) is the most widely used serum biomarker to detect HCC worldwide. However, no AFP elevation have been found in many HCC and AFP analysis can't be used to screen HCC in these cases. Currently, many studies have been carried out to find reliable biomarker in diagnosing AFP-negative HCC. Such biomarker would help the diagnosis of AFP-negative HCC, ensuring the timely initiation of treatment. In this review, we highlight the important role of biomarkers that can differentiate AFP-negative HCCs, and discuss their potential clinical applications as biomarkers for the diagnosis of AFP-negative HCC.

Indexed as

Early Diagnosisalpha-FetoproteinsBiomarkers, TumorCarcinoma, HepatocellularHumansLiver NeoplasmsAFP protein, humanalpha-FetoproteinsBiomarkers, TumorAFP-negativeBiomarkerDiagnoseHCC

Identifiers

PMID30661224
OpenAlexW2910686856

What OpenQuestion holds

Textmetadata
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.