Evidence map›Paper›PMID 29187892›Full record

ArticleJournal of Cancer2017

Defining Radiation-Induced Hepatic Toxicity in Hepatocellular Carcinoma Patients Treated with Stereotactic Body Radiotherapy.

Jin Ho Song, Bae-Kwon Jeong, Hoon-Sik Choi, Hojin Jeong, Yun Hee Lee, Hong Jun Kim, Tae Hyo Kim, Woon Tae Jung, Ok Jae Lee, Hong Seok Jang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of Cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Proteomic Analysis of Radiation-Induced Acute Liver Damage in a Rabbit Model.Dose-response : a publication of International Hormesis Society
    Article
  6. Review
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

12 authors at 4 institutions in 1 country.

Jin Ho SongDepartment of Radiation Oncology, Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, 51472 Changwon, Korea.
Bae-Kwon JeongDepartment of Radiation Oncology, Gyeongsang National University School of Medicine and Gyeongsang National University Hospital, 52727 Jinju, Korea.
Hoon-Sik ChoiDepartment of Radiation Oncology, Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, 51472 Changwon, Korea.
Hojin JeongDepartment of Radiation Oncology, Gyeongsang National University School of Medicine and Gyeongsang National University Hospital, 52727 Jinju, Korea.
Yun Hee LeeDepartment of Radiation Oncology, Gyeongsang National University School of Medicine and Gyeongsang National University Hospital, 52727 Jinju, Korea.
Hong Jun KimDepartment of Internal Medicine, Gyeongsang National University School of Medicine and Gyeongsang National University Hospital, 52727 Jinju, Korea.
Tae Hyo KimDepartment of Internal Medicine, Gyeongsang National University School of Medicine and Gyeongsang National University Hospital, 52727 Jinju, Korea.
Woon Tae JungDepartment of Internal Medicine, Gyeongsang National University School of Medicine and Gyeongsang National University Hospital, 52727 Jinju, Korea.
Ok Jae LeeDepartment of Internal Medicine, Gyeongsang National University School of Medicine and Gyeongsang National University Hospital, 52727 Jinju, Korea.
Hong Seok JangDepartment of Radiation Oncology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 06591 Seoul, Korea.
Byung Ock ChoiDepartment of Radiation Oncology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 06591 Seoul, Korea.
Ki Mun KangDepartment of Radiation Oncology, Gyeongsang National University School of Medicine and Gyeongsang National University Hospital, 52727 Jinju, Korea.
Gyeongsang National University Hospital · KRGyeongsang National University · KRCatholic University of Korea · KRChangwon National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The definition and criteria of radiation-induced hepatic toxicity (RIHT) in hepatocellular carcinoma patients vary among studies. Therefore, the reported rates of RIHT differ among studies, and this causes confusion. In this study, we evaluated RIHT using several laboratory and clinical parameters, and analyzed which criterion is more correlated with RT and survival. Forty-five HCC patients treated with stereotactic body radiotherapy were included for the analysis. All patients had unresectable HCC and Child-Pugh (CP) class A or B baseline liver function. A median total dose of 45 Gy was delivered by CyberKnife in 3 fractions. For individual laboratory parameter, ≥ grade 2 toxicity development of bilirubin, albumin, or prothrombin time by Common Terminology Criteria of Adverse Effects (CTCAE) was correlated with mean liver dose and survival. However, serum transaminases had no correlation with liver mean dose and survival, and were rather affected by other local treatments. Compared to the CTCAE, the increase in the CP score of 2 points or more was better correlated with liver failure and overall survival, and it was not affected by other local treatments or tumor progression. We concluded RIHT was better defined by the change in the CP score rather than the CTCAE in patients treated by stereotactic body radiotherapy for HCC.

Indexed as

Child-Pugh scoreHepatocellular carcinomaradiation-induced liver diseaseradiation therapystereotactic body radiotherapy

Identifiers

PMID29187892
PMCPMC5706019
OpenAlexW2769339261

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.