Evidence map›Paper›PMID 31885298›Full record

ArticleThe Journal of international medical research2020

A retrospective cohort study of low-dose intensity-modulated radiotherapy for unresectable liver metastases.

Su Pei, Kaihua Chen, Yunli Yang, Long Chen, Xiaodong Zhu

Open access · goldAbstract read
In one paragraph

Article in The Journal of international medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 1 institution in 1 country.

Su PeiDepartment of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Kaihua ChenDepartment of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Yunli YangDepartment of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Long ChenDepartment of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Xiaodong ZhuDepartment of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.ORCID https://orcid.org/0000-0002-7997-8268
Guangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the efficacy and toxicity of intensity-modulated radiotherapy (IMRT) for the treatment of unresectable liver metastases.

methodsTwenty-five patients with unresectable liver metastases treated with IMRT were enrolled from January 2003 to September 2016. The median longest diameter of the lesions was 3.3 cm (range, 1.6-16.7 cm). The fraction dose ranged from 2 to 5.2 Gy, with a median total dose of 50 Gy (range, 30-60 Gy).

resultsThe median follow-up was 9.2 months (range, 2.1-48.8 months). The overall survival rates at 1 and 2 years were 46.4% and 27.4%, respectively. The 1-year local control rate was 69.8%. The 1-year progression-free survival rate was 26.3%. One patient had grade 4 liver dysfunction. One case of grade 4 leukopenia and one case of grade 3 leukopenia occurred, and one case of grade 3 leukopenia and thrombocytopenia was observed.

conclusionIMRT may be a promising and safe treatment for unresectable liver metastases and can be used as a treatment option.

Indexed as

Liver NeoplasmsRadiotherapy, Intensity-ModulatedFollow-Up StudiesHumansRadiotherapy DosageRetrospective Studiesintensity-modulated radiotherapyLiver metastasislow-doseoligometastasessurvivaltoxicity

Identifiers

PMID31885298
PMCPMC7607147
OpenAlexW2996879090

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.