Evidence map›Paper›PMID 24649215›Full record

ReviewMolecular and clinical oncology2013

Tumor markers for hepatocellular carcinoma.

Yan-Jie Zhao, Qiang Ju, Guan-Cheng Li

Open access · hybridAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Molecular and clinical oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
119citing papers in PubMed, 3 pooled it
7.3field-weighted citation impact, top 2% 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

119 citing papers in PubMed, 3 syntheses or guidelines pooled it, 238 citations in OpenAlex.

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59 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

3 authors at 1 institution in 1 country.

Yan-Jie ZhaoTumor Immunobiology Laboratory of Cancer Research Institute, Key Laboratory of Carcinogenesis and Cancer Invasion Ministry of Education, Key Laboratory of Carcinogenesis Ministry of Health, Central South University, Changsha, Hunan 410078, P.R. China.
Qiang JuTumor Immunobiology Laboratory of Cancer Research Institute, Key Laboratory of Carcinogenesis and Cancer Invasion Ministry of Education, Key Laboratory of Carcinogenesis Ministry of Health, Central South University, Changsha, Hunan 410078, P.R. China.
Guan-Cheng LiTumor Immunobiology Laboratory of Cancer Research Institute, Key Laboratory of Carcinogenesis and Cancer Invasion Ministry of Education, Key Laboratory of Carcinogenesis Ministry of Health, Central South University, Changsha, Hunan 410078, P.R. China.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is one of the most common malignant tumors with a high rate of morbidity and mortality. HCC affects approximately one million individuals annually worldwide, with the incidence equal to the mortality rate. In 2008, HCC was listed as the third most lethal cancer. Thus, early diagnosis is crucial for improving the survival rate for patients. α-fetoprotein (AFP) together with iconography and pathology detection are commonly used in the clinical early diagnosis of liver cancer. However, the specificity and sensitivity of AFP used in screening for liver cancer are not satisfactory. Athough the development of molecular biology has led to the identification of new tumor markers, including proteantigens, cytokines, enzymes and isoenzymes, as well as related genes that can be used in the treatment and prognosis of liver cancer, more tumor markers are required for effective early diagnosis of diseases and monitoring of the curative effect.

Indexed as

early diagnosishepatocellular carcinomatumor markers

Identifiers

PMID24649215
PMCPMC3915636
OpenAlexW2747118104

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.