Evidence map›Paper›PMID 28018791›Full record

ArticleSpringerPlus2016

Successful ceritinib treatment in a man with MPE and an ALK fusion gene mutation after multiple treatments.

Hangping Wei, Fangming Du, Yifang Lu, Juan Wei, Xiaofang Dong

Open access · diamondAbstract read
In one paragraph

Article in SpringerPlus, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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.

Hangping WeiDepartment of Medical Oncology, Dongyang People's Hospital, No. 60 West Wuning Road, Dongyang, 322100 Zhejiang People's Republic of China.
Fangming DuDepartment of Medical Oncology, Dongyang People's Hospital, No. 60 West Wuning Road, Dongyang, 322100 Zhejiang People's Republic of China.
Yifang LuDepartment of Medical Oncology, Dongyang People's Hospital, No. 60 West Wuning Road, Dongyang, 322100 Zhejiang People's Republic of China.
Juan WeiDepartment of Medical Oncology, Dongyang People's Hospital, No. 60 West Wuning Road, Dongyang, 322100 Zhejiang People's Republic of China.
Xiaofang DongDepartment of Medical Oncology, Dongyang People's Hospital, No. 60 West Wuning Road, Dongyang, 322100 Zhejiang People's Republic of China.ORCID 0000-0002-2904-7086
Wenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCeritinib is a second-generation anaplastic lymphoma kinase (ALK) inhibitor. It inhibits two of the most common ALK-mutants that confer resistance to crizotinib. Ceritinib was approved by Food and Drug Administration in April 2014. However, the efficacy of ceritinib in Asian patients have not been widely studied. Decrease of malignant pleural effusion (MPE) has been rarely reported after treatment with ceritinib. CASE DESCRIPTION: A 50-year old man diagnosed with stage IV lung adenocarcinoma presented with MPE and an ALK fusion gene mutation. The patient showed partial response to ceritinib after 2-month treatment. Ultrasound showed MPE significantly decreased. DISCUSSION AND EVALUATION: Ceritinib is a good choice, as a targeted therapy, which is more prospect in the advanced cancer patients than the traditional therapy.

conclusionCeritinib seems to have a good efficacy in reducing MPE in advanced Asian lung adenocarcinoma patients, when other chemotherapy failed.

Indexed as

ALK fusion gene mutationCeritinibLung adenocarcinomaMalignant pleural effusion

Identifiers

PMID28018791
PMCPMC5142169
OpenAlexW2559822964

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.