Evidence map›Paper›PMID 27004063›Full record

ReviewInternational journal of health sciences2016

An update of biochemical markers of hepatocellular carcinoma.

Abdulaziz Ajlan M AlSalloom

Open access · diamondAbstract readReview
In one paragraph

Review in International journal of health sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.5field-weighted citation impact, top 12% 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

30 citing papers in PubMed, 54 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. Prediagnostic plasma proteomics profile for hepatocellular carcinoma.Journal of the National Cancer Institute · 2024
    Article
  6. Alpha-fetoprotein: Past, present, and future.Hepatology communications · 2024
    Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. The Landscape Of Alpha Fetoprotein In Hepatocellular Carcinoma: Where Are We?International journal of biological sciences · 2022
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Cancers · 2020
    Article
  20. Lipocalin-2: A novel diagnostic marker for hepatocellular carcinoma.Cancer biomarkers : section A of Disease markers · 2020
    Observational
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

1 author at 1 institution in 1 country.

Abdulaziz Ajlan M AlSalloomDepartment of Pathology, College of Medicine, Qassim University, Saudi Arabia.
Qassim University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The definition of a tumor marker is broad, which covers a wide spectrum of biomacromolecules synthesized in excess concentration by a wide variety of neoplastic cells. Tumor markers can be normal endogenous products that are produced at a greater rate in cancer cells or the products of newly switched on genes that remained inactive in the normal cells. These markers consist of any products of either tumor itself or the host in reaction to tumor's presence that distinguishes malignant tissues from benign and is measurable in body fluids or tissues. They increase with progressive or recurrent disease, decrease with response to treatment, and normalize with remission. Clinical applications include screening in asymptomatic individuals, confirming a suspected diagnosis, assisting in tumor classification and staging, prognosis, monitoring treatment response, surveillance for residual disease, and early detection of recurrent disease.

Indexed as

AFPAlpha-fetoproteinEnzymes and isoenzymesGEPGlypican-3HCCSCCA

Identifiers

PMID27004063
PMCPMC4791163
OpenAlexW2292840950

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.