Evidence map›Paper›PMID 35836522›Full record

ArticleTranslational cancer research2022

The effect of afatinib in a pretreated patient with invasive mucinous adenocarcinoma of the lung harboring

Yueming He, Hong Huang, Meng Xu, Zhihui Fu, Xiang'e Zhang, Xiaoyan Chen, Weifeng Guo

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Translational cancer research, 2022. 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
0.1field-weighted citation impact, top 54% 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, 1 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

7 authors at 1 institution in 1 country.

Yueming HeDepartment of Respiratory Medicine, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, China.
Hong HuangDepartment of Respiratory Medicine, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, China.
Meng XuDepartment of Respiratory Medicine, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, China.
Zhihui FuDepartment of Respiratory Medicine, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, China.
Xiang'e ZhangDepartment of Respiratory Medicine, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, China.
Xiaoyan ChenDepartment of Respiratory Medicine, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, China.
Weifeng GuoDepartment of Respiratory Medicine, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, China.
Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Invasive mucinous adenocarcinoma (IMA) is an uncommon variant of lung adenocarcinoma. The survival data and therapeutic methods for IMAs are limited. The frequency of human epidermal growth factor receptor 2 ( Case Description: Herein, we present the case of a 49-year-old female, never-smoker stage IVa IMA patient with persistent cough and sputum expectoration diagnosed with stage IVa IMA. Polymerase chain reaction (PCR) and next-generation sequencing (NGS) were utilized to detect mutations for targeted therapies on lung biopsy, but no mutation was found. After treatment failures of chemotherapy and a multiple-kinase inhibitor, liquid biopsy identified Conclusions: This is the first report of afatinib treatment achieving long-lasting and stable disease control in an IMA patient with a

Indexed as

Afatinibcase reportHER2 exon 20 insertioninvasive mucinous adenocarcinoma (IMA)YVMA insertion

Identifiers

PMID35836522
PMCPMC9273679
OpenAlexW4283709031

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.