Evidence map›Paper›PMID 27446584›Full record

ArticleMolecular and clinical oncology2016

Quick regression of brain metastases from lung adenocarcinoma with epidermal growth factor receptor-tyrosine kinase inhibitor treatment: A case report and literature review.

Huaqiong Huang, Shuangli Zhu, Shaobin Wang, Wen Li

Open access · diamondAbstract read
In one paragraph

Article in Molecular and clinical oncology, 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
0.5field-weighted citation impact, top 29% 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, 2 citations in OpenAlex.

  1. Article
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

4 authors at 1 institution in 1 country.

Huaqiong HuangDepartment of Respiratory Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, P.R. China.
Shuangli ZhuDepartment of Respiratory Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, P.R. China.
Shaobin WangDepartment of Respiratory Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, P.R. China.
Wen LiDepartment of Respiratory Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, P.R. China.
Second Affiliated Hospital of Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain metastasis (BM) commonly occurs in patients with advanced lung cancer, and is associated with poor prognosis and limited treatment options, particularly for end-stage patients who are in poor physical and mental state. We herein present a case of lung adenocarcinoma with BM, as revealed by tumor marker and imaging studies. The patient was a 74-year-old woman who was diagnosed with lung adenocarcinoma with several metastatic lesions in the mediastinal lymph nodes, bone and brain. The patient underwent two cycles of chemotherapy, but the cancer recurred with enlarged BM, resulting in confusion and body dysfunction. The patient then received epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) therapy with icotinib. After approximately 12 h of treatment the symptoms disappeared, and the metastatic lesions in the brain largely regressed in the following months. Our case indicates that the EGFR-TKI icotinib may provide a rapid and safe approach for emergency situations with BM from lung adenocarcinoma.

Indexed as

adenocarcinomabrain metastasisepidermal growth factor receptor-tyrosine kinase inhibitorlung

Identifiers

PMID27446584
PMCPMC4950726
OpenAlexW2413133220

What OpenQuestion holds

Textmetadata
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.