Evidence map›Paper›PMID 30081489›Full record

ArticleCancers2018

Radiotherapy for T1N0M0 Esophageal Cancer: Analyses of the Predictive Factors and the Role of Endoscopic Submucosal Dissection in the Local Control.

Gen Suzuki, Hideya Yamazaki, Norihiro Aibe, Koji Masui, Daisuke Shimizu, Takuya Kimoto, Takeshi Nishimura, Akihiro Nakashima, Tadashi Takenaka, Osamu Dohi and 2 more

Abstract read
In one paragraph

Article in Cancers, 2018. 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
–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

8 citing papers in PubMed.

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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.

Gen SuzukiDepartment of Radiology, Kyoto Prefectural University Graduate School of Medical Science, 465 Kajiicho Kawaramachi Hirokoji, Kamigyo-ku, Kyoto 602-8566, Japan. gensuzu@koto.kpu-m.ac.jp.ORCID 0000-0001-6018-468X
Hideya YamazakiDepartment of Radiology, Kyoto Prefectural University Graduate School of Medical Science, 465 Kajiicho Kawaramachi Hirokoji, Kamigyo-ku, Kyoto 602-8566, Japan. yamahi@koto.kpu-m.ac.jp.
Norihiro AibeDepartment of Radiology, Kyoto Prefectural University Graduate School of Medical Science, 465 Kajiicho Kawaramachi Hirokoji, Kamigyo-ku, Kyoto 602-8566, Japan. a-ib-n24@koto.kpu-m.ac.jp.
Koji MasuiDepartment of Radiology, Kyoto Prefectural University Graduate School of Medical Science, 465 Kajiicho Kawaramachi Hirokoji, Kamigyo-ku, Kyoto 602-8566, Japan. mc0515kj@koto.kpu-m.ac.jp.
Daisuke ShimizuDepartment of Radiology, Kyoto Prefectural University Graduate School of Medical Science, 465 Kajiicho Kawaramachi Hirokoji, Kamigyo-ku, Kyoto 602-8566, Japan. dshimizu@koto.kpu-m.ac.jp.
Takuya KimotoDepartment of Radiology, Kyoto Prefectural University Graduate School of Medical Science, 465 Kajiicho Kawaramachi Hirokoji, Kamigyo-ku, Kyoto 602-8566, Japan. t-kimoto@koto.kpu-m.ac.jp.
Takeshi NishimuraDepartment of Radiology, Kyoto Prefectural University Graduate School of Medical Science, 465 Kajiicho Kawaramachi Hirokoji, Kamigyo-ku, Kyoto 602-8566, Japan. Taknishi@koto.kpu-m.ac.jp.
Akihiro NakashimaDepartment of Radiology, Kyoto Prefectural University Graduate School of Medical Science, 465 Kajiicho Kawaramachi Hirokoji, Kamigyo-ku, Kyoto 602-8566, Japan. anakashi@koto.kpu-m.ac.jp.
Tadashi TakenakaDepartment of Radiology, Kyoto Prefectural University Graduate School of Medical Science, 465 Kajiicho Kawaramachi Hirokoji, Kamigyo-ku, Kyoto 602-8566, Japan. ttakenak@koto.kpu-m.ac.jp.
Osamu DohiDepartment of Gastroenterology and Hepatology Dermatology, Kyoto Prefectural University Graduate School of Medical Science, 465 Kajiicho Kawaramachi Hirokoji, Kamigyo-ku, Kyoto 602-8566, Japan. osamu-d@koto.kpu-m.ac.jp.ORCID 0000-0002-0498-0144
Takeshi IshikawaDepartment of Gastroenterology and Hepatology Dermatology, Kyoto Prefectural University Graduate School of Medical Science, 465 Kajiicho Kawaramachi Hirokoji, Kamigyo-ku, Kyoto 602-8566, Japan. iskw-t@koto.kpu-m.ac.jp.ORCID 0000-0002-5770-9710
Kei YamadaDepartment of Radiology, Kyoto Prefectural University Graduate School of Medical Science, 465 Kajiicho Kawaramachi Hirokoji, Kamigyo-ku, Kyoto 602-8566, Japan. kyamada@koto.kpu-m.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several therapeutic options are available for clinical T1N0M0 thoracic esophageal squamous cell carcinoma (stage I ESCC); however, the studies on the treatment results are limited. This study assessed the outcomes of stage I ESCC treated with radiotherapy (RT), determined predictive factors, and evaluated the benefits of endoscopic submucosal dissection (ESD) combined with RT. We retrospectively analyzed the data of 50 patients (41 men, 9 women; median age, 66 years) with stage I ESCC treated with RT. The median total irradiation dose was 50 Gy. Elective nodal irradiation (ENI) was performed in 17 patients and ESD in 29 patients (ESD group). Forty-six patients concurrently received chemotherapy with RT. The median tumor length of ESD and non-ESD groups was 2.3 and 5 cm, respectively. The median follow-up was 33 months. The 3-year overall survival, disease-free survival (DFS), and local control (LC) rates were 77.3%, 61.1%, and 88.1%, respectively. Grade 3 adverse events occurred in 14 patients. T stage and tumor length were significant prognostic factors for 3-year DFS and 3-year LC, respectively. ESD appeared to be an important prognostic factor for LC. ENI and total irradiation dose above 50.4 Gy were not predictive factors. Our findings might help in treatment decisions for stage I ESCC.

Indexed as

chemoradiationendoscopic resectionESDprognostic factorsradiationstage Isuperficial esophageal cancer

Identifiers

PMID30081489
PMCPMC6115973

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Registered trials

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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.