Evidence map›Paper›PMID 27493896›Full record

ReviewLiver cancer2016

How to Improve Therapeutic Ratio in Radiotherapy of HCC.

Chiao-Ling Tsai, Feng-Ming Hsu, Jason Chia-Hsien Cheng

Open access · goldAbstract readReview
In one paragraph

Review in Liver cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Effect of NDC80 in human hepatocellular carcinoma.World journal of gastroenterology · 2017
    Article
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.

Chiao-Ling TsaiDivision of Radiation Oncology, Department of Oncology, National Taiwan University Hospital, Taipei, Taiwan (ROC); Graduate Institute of Clinical Medicine, National Taiwan University College of Medicine, Taipei, Taiwan (ROC).
Feng-Ming HsuDivision of Radiation Oncology, Department of Oncology, National Taiwan University Hospital, Taipei, Taiwan (ROC).
Jason Chia-Hsien ChengDivision of Radiation Oncology, Department of Oncology, National Taiwan University Hospital, Taipei, Taiwan (ROC); Graduate Institute of Oncology, National Taiwan University College of Medicine, Taipei, Taiwan (ROC).
National Taiwan University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring the past two decades, external-beam radiation technology has substantially changed from traditional two-dimensional to conformal three-dimensional to intensity-modulated planning and stereotactic body radiotherapy (SBRT). SUMMARY: Modern techniques of radiotherapy (RT) are highly focused and capable of delivering an ablative dose to targeted hepatocellular carcinoma (HCC) tumors. SBRT is an option for selected patients with limited tumor volume and non-eligibility for other invasive treatments. Moreover, RT combined with a radiation sensitizer (RS) to increase the therapeutic ratio has shown promising results in select studies, prompting further investigation of this combination. With the undetermined role of RT in treatment guidelines and variation in patterns of treatment failure after RT in patient with HCC, useful biomarkers to guide RT decision-making and selection of patients are needed and emerging. KEY MESSAGE: The objective of this review is to summarize the current RS with SBRT schemes and biomarkers for patient selection used to maximize the effect of RT on HCC.

Indexed as

BiomarkersHepatocellular carcinomaMolecular targeted agentsRadiation therapy

Identifiers

PMID27493896
PMCPMC4960358
OpenAlexW2345912418

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.