Evidence map›Paper›PMID 30070063›Full record

ArticleThoracic cancer2018

Factors relevant to the prognosis of patients with esophageal cancer who received intensity-modulated radiotherapy.

Hongmei Yin, Duojie Li, Chaomang Zhu, Mingxi Wang, Nannan Wei

Open access · goldAbstract read
In one paragraph

Article in Thoracic cancer, 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
1.2field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 8 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 1 institution in 1 country.

Hongmei YinDepartment of Radiotherapy, First Affiliated Hospital of Bengbu Medical College, Bengbu, China.ORCID 0000-0001-8526-0300
Duojie LiDepartment of Radiotherapy, First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Chaomang ZhuDepartment of Radiotherapy, First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Mingxi WangDepartment of Oncology, First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Nannan WeiDepartment of Radiotherapy, First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Bengbu Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to evaluate the clinical factors relevant to the prognosis of patients with esophageal cancer who received intensity-modulated radiotherapy (IMRT).

methodsThe data of 60 patients admitted to our hospital from January 2014 to December 2015 with pathologically confirmed esophageal cancer were retrospectively reviewed. All patients received IMRT. Patients were divided into groups according to two-year survival: those who survived > 2 years after treatment, and those who died within 2 years of treatment. The potential clinical factors relevant to prognosis were evaluated by logistic regression analysis.

resultsSingle factor analysis showed that lesion length (P < 0.05), tumor diameter (P < 0.05), T stage (P < 0.05), N stage (P < 0.05), and combined chemotherapy (P < 0.05) were associated with the prognosis of esophageal cancer patients who received IMRT. Logistic regression analysis demonstrated that T stage (odds ratio = 3.62; P < 0.05) and N stage (odds ratio = 2.98; P < 0.05) were independent factors relevant to prognosis.

conclusionT stage and N stage influence the long-term curative effects of IMRT for esophageal cancer. The higher the stage, the lower the two-year survival rate.

Indexed as

Esophageal NeoplasmsFemaleHumansMaleMiddle AgedPrognosisRadiotherapy, Intensity-ModulatedEsophageal cancerintensity-modulated radiotherapylogistic regressionprognosis

Identifiers

PMID30070063
PMCPMC6166056
OpenAlexW2886814935

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.