Evidence map›Paper›PMID 29343986›Full record

ReviewCancer management and research2018

Radiotherapy for esophageal carcinoma: dose, response and survival.

Yijun Luo, Qingfeng Mao, Xiaoli Wang, Jinming Yu, Minghuan Li

Open access · goldAbstract readReview
In one paragraph

Review in Cancer management and research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 27 citations in OpenAlex.

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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

5 authors at 4 institutions in 2 countries.

Yijun Luo *Department of Oncology, The People's Hospital of Jiangxi, Nanchang.
Qingfeng Mao *School of Medical and Life Sciences, University of Jinan-Shandong Academy of Medical Sciences.
Xiaoli WangDepartment of Oncology, The People's Hospital of Jiangxi, Nanchang.
Jinming YuDepartment of Radiation Oncology and Radiology, Shandong Cancer Hospital Affiliated to Shandong University, Jinan, China.
Minghuan LiDepartment of Radiation Oncology and Radiology, Shandong Cancer Hospital Affiliated to Shandong University, Jinan, China.
Jiangxi Provincial People's Hospital · CNShandong First Medical University · CNShandong Tumor Hospital · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal cancer (EC) is an extremely aggressive, lethal malignancy that is increasing in incidence worldwide. At present, definitive chemoradiotherapy is accepted as the standard treatment for locally advanced EC. The EC guidelines recommend a radiation dose of 50.4 Gy for definitive treatment, yet the outcomes for patients who have received standard-dose radiotherapy remain unsatisfactory. However, some studies indicate that a higher radiation dose could improve local tumor control, and may also confer survival benefits. Some studies, however, suggest that high-dose radiotherapy does not bring survival benefit. The available data show that most failures occurred in the gross target volume (especially in the primary tumor) after definitive chemoradiation. Based on those studies, we hypothesize that at least for some patients, more intense local therapy may lead to better local control and survival. The aim of this review is to evaluate the radiation dose, fractionation strategies, and predictive factors of response to therapy in functional imaging for definitive chemoradiotherapy in esophageal carcinoma, with an emphasis on seeking the predictive model of response to CRT and trying to individualize the radiation dose for EC patients.

Indexed as

altered fractionationesophageal cancerindividualizationpredictive factorsradiation dose

Identifiers

PMID29343986
PMCPMC5749557
OpenAlexW2779373818

What OpenQuestion holds

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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.