Evidence map›Paper›PMID 35888165›Full record

ArticleLife (Basel, Switzerland)2022

Transarterial Treatment of Lung Cancer.

Atsushi Hori, Ikuo Dejima, Shinichi Hori, Shuto Oka, Tatsuya Nakamura, Shota Ueda

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2022. 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
–field-weighted citation impact
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.

  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

6 authors.

Atsushi HoriInstitute for Image Guided Therapy, Izumisano 598-0047, Japan.
Ikuo DejimaDepartment of Radiology, Wakayama Medical University, Wakayama 641-8509, Japan.
Shinichi HoriInstitute for Image Guided Therapy, Izumisano 598-0047, Japan.
Shuto OkaInstitute for Image Guided Therapy, Izumisano 598-0047, Japan.
Tatsuya NakamuraInstitute for Image Guided Therapy, Izumisano 598-0047, Japan.
Shota UedaDepartment of Radiology, Wakayama Medical University, Wakayama 641-8509, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe treatment efficacy of the transarterial approach to lung cancer is evaluated. MATERIALS AND

methodsA total of 98 patients with advanced lung cancer or recurrent lung cancer after the standard therapies were enrolled retrospectively. The bronchial arteries and mediastinal branches from the subclavian artery were selected by a microcatheter. Immediately after the selective arterial infusion of anti-neoplastic agents, embolization with a spherical embolic material was carried out. Local tumor effects and overall survival were evaluated.

resultThe mean reduction rate was 17.9%, with 24.2% for partial remission and with 2.1% for progression disease. The rate of stable disease was 72.6%. The response rate was 25.3%, and the disease control rate was 97.9%. The median survival time (MST) was 11.4 months, the 1-year survival rate was 45.2%, and the 2-year survival rate was 35.6%. Although it is insignificant, the MST for 51 adenocarcinomas was higher than that of 29 squamous cell carcinomas (18.6 months and 9.4 months, respectively). The local extension of tumors related to a better prognosis, though it was not significant. Lymph node metastases and distant metastases were poor prognostic factors. No major complications nor treatment-related mortalities were found in this study.

conclusionThe transarterial treatment for lung cancer should be considered as a treatment option when the other treatments were not indicated both in initial cases and in recurrent cases.

Indexed as

antineoplastic agentsbronchial arteryembolic materiallung cancermicrocatheter

Identifiers

PMID35888165
PMCPMC9317801

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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.