Evidence map›Paper›PMID 25133495›Full record

ArticlePloS one2014

Is there a benefit in receiving concurrent chemoradiotherapy for elderly patients with inoperable thoracic esophageal squamous cell carcinoma?

Peng Zhang, Mian Xi, Lei Zhao, Jing-Xian Shen, Qiao-Qiao Li, Li-Ru He, Shi-Liang Liu, Meng-Zhong Liu

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  9. Radiotherapy combined with nimotuzumab for elderly esophageal cancer patients: A phase II clinical trial.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2021
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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

8 authors.

Peng ZhangSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Radiation Oncology, Cancer Center, Sun Yat-sen University, Guangzhou, People's Republic of China.
Mian XiSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Radiation Oncology, Cancer Center, Sun Yat-sen University, Guangzhou, People's Republic of China.
Lei ZhaoSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Radiation Oncology, Cancer Center, Sun Yat-sen University, Guangzhou, People's Republic of China.
Jing-Xian ShenSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Imaging Diagnosis and Interventional Center, Cancer Center, Sun Yat-sen University, Guangzhou, People's Republic of China.
Qiao-Qiao LiSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Radiation Oncology, Cancer Center, Sun Yat-sen University, Guangzhou, People's Republic of China.
Li-Ru HeSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Radiation Oncology, Cancer Center, Sun Yat-sen University, Guangzhou, People's Republic of China.
Shi-Liang LiuSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Radiation Oncology, Cancer Center, Sun Yat-sen University, Guangzhou, People's Republic of China.
Meng-Zhong LiuSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Radiation Oncology, Cancer Center, Sun Yat-sen University, Guangzhou, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeThe benefit of concurrent chemoradiotherapy (CCRT) in elderly patients with inoperable esophageal squamous cell carcinoma (SCC) is controversial. This study aimed to assess the efficiency and safety of CCRT in elderly thoracic esophageal cancer patients. METHODS AND MATERIALS: Between January 2002 and December 2011, 128 patients aged 65 years or older treated with CCRT or radiotherapy (RT) alone for inoperable thoracic esophageal SCC were analyzed retrospectively (RT alone, n = 55; CCRT, n = 73).

resultsNo treatment-related deaths occurred and no patients experienced any acute grade 4 non-hematologic toxicities. Patients treated with CCRT developed more severe acute toxicities than patients who received RT alone. The 3-year overall survival (OS) rate was 36.1% for CCRT compared with 28.5% following RT alone (p = 0.008). Multivariate analysis identified T stage and treatment modality as independent prognostic factors for survival. Further analysis revealed that survival was significantly better in the CCRT group than in the RT alone group for patients ≤ 72 years. Nevertheless, the CCRT group had a similar OS to the RT group for patients > 72 years.

conclusionOur results suggest that elderly patients with inoperable thoracic esophageal SCC could benefit from CCRT, without major toxicities. However, for patients older than 72 years, CCRT is not superior to RT alone in terms of survival benefit.

Indexed as

AgedAged, 80 and overCarcinoma, Squamous CellChemoradiotherapyDisease-Free SurvivalEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaFemaleFluorouracilHumansMaleRetrospective StudiesFluorouracil

Identifiers

PMID25133495
PMCPMC4136816

What OpenQuestion holds

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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.