Evidence map›Paper›PMID 32252826›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2020

Clinical efficacy and prognostic factors of CT-guided

Huzheng Yan, Ma Luo, Lifei Wang, Zhenkang Qiu, Zhiqiang Mo, Zhanwang Xiang, Yanling Zhang, Guanyu Chen, Zhihui Zhong, Xiuchen Wang and 2 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Clinical efficacy of CT-guidedInsights into imaging · 2022
    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

12 authors at 6 institutions in 1 country.

Huzheng YanSun Yat-sen University Cancer Center, 651 Dongfeng Road, East, Guangzhou, 510060, China.
Ma LuoSun Yat-sen University Cancer Center, 651 Dongfeng Road, East, Guangzhou, 510060, China.
Lifei WangThe Department of Radiology, The Third People's Hospital of Shenzhen, Shenzhen, China.
Zhenkang QiuSun Yat-sen University Cancer Center, 651 Dongfeng Road, East, Guangzhou, 510060, China.
Zhiqiang MoDepartment of Interventional Radiology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan No. 2 Road, Guangzhou, 510060, China.
Zhanwang XiangThe Third affiliated hospital, Sun Yat-sen University, Guangzhou, China.
Yanling ZhangSun Yat-sen University Cancer Center, 651 Dongfeng Road, East, Guangzhou, 510060, China.
Guanyu ChenSun Yat-sen University Cancer Center, 651 Dongfeng Road, East, Guangzhou, 510060, China.
Zhihui ZhongSun Yat-sen University Cancer Center, 651 Dongfeng Road, East, Guangzhou, 510060, China.
Xiuchen WangSun Yat-sen University Cancer Center, 651 Dongfeng Road, East, Guangzhou, 510060, China.
Fei GaoSun Yat-sen University Cancer Center, 651 Dongfeng Road, East, Guangzhou, 510060, China. gaof@sysucc.org.cn.
Fujun ZhangSun Yat-sen University Cancer Center, 651 Dongfeng Road, East, Guangzhou, 510060, China. zhangfj@sysucc.org.cn.
Key Laboratory of Guangdong Province · CNState Key Laboratory of Oncology in South ChinaSun Yat-sen University · CNSun Yat-sen University Cancer Center · CNGuangdong Academy of Medical Sciences · CNShenzhen Third People’s Hospital · CN

Funding

National Natural Science Foundation 81571780National Natural Science Foundation 81871467
6 · The paper itself

Abstract

backgroundDue to the unique anatomical location of retroperitoneal metastatic lymph nodes, current treatment options are limited. This study was designed to explore the clinical efficacy and prognostic factors of CT-guided

methodsWe retrospectively evaluated 92 patients received

resultsThe median LTPFS was 8 months. Metastatic lymph node with uniform density (p-0.009), clear boundaries (p-0.011), regular morphology (P < 0.001), and < 3 organs at risk of metastasis (p-0.020) were associated with better LTPFS. Necrotic lymph nodes (p < 0.001), fusion (p-0.003), and invasion of vessels visible on images (p < 0.001) were associated with poor LTPFS. Puncture path through abdominal wall or paravertebral approach were also associated with better LTPFS than a hepatic approach (P < 0.05). A maximum diameter ≤ 3 cm (P-0.031) or 3-5 cm (P-0.018) were also associated with significantly better LTPFS than a maximum diameter ≥ 5 cm. The Cox proportional hazards model suggested that lymph nodes invaded the large vessels visible on images, maximum diameter and puncture path were independent risk factors for LTPFS.

conclusionCT-guided

Indexed as

AdultAgedBrachytherapyFemaleHumansIodine RadioisotopesLymphatic MetastasisLymph NodesMaleMiddle AgedPalliative CareProportional Hazards ModelsRadiopharmaceuticalsRetroperitoneal NeoplasmsTomography, X-Ray ComputedTreatment OutcomeIodine-125Iodine RadioisotopesRadiopharmaceuticals125I brachytherapy125I seedRetroperitoneal metastatic lymph nodes

Identifiers

PMID32252826
PMCPMC7137200
OpenAlexW3015034069

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.