Evidence map›Paper›PMID 34513661›Full record

ArticleFrontiers in oncology2021

The Predictive Values of Advanced Non-Small Cell Lung Cancer Patients Harboring Uncommon

Jiarong Tan, Chengping Hu, Pengbo Deng, Rongjun Wan, Liming Cao, Min Li, Huaping Yang, Qihua Gu, Jian An, Juan Jiang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. UncommonCurrent oncology (Toronto, Ont.) · 2022
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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

10 authors at 2 institutions in 1 country.

Jiarong TanDepartment of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha, China.
Chengping HuDepartment of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha, China.
Pengbo DengDepartment of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha, China.
Rongjun WanDepartment of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha, China.
Liming CaoDepartment of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha, China.
Min LiDepartment of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha, China.
Huaping YangDepartment of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha, China.
Qihua GuDepartment of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha, China.
Jian AnDepartment of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha, China.
Juan JiangDepartment of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha, China.
Xiangya Hospital Central South University · CNCentral South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEpidermal growth factor receptor (

methodsWe retrospectively screened a group of NSCLC patients with uncommon

resultsA total of 180/1,300 (13.8%) patients were identified. There were 102 patients with advanced or recurrent NSCLC that received first-line therapy of gefitinib/erlotinib/icotinib and afatinib and were eligible for analysis. The therapeutic outcomes among patients with common mutations (

conclusionsUncommon

Indexed as

concurrent genetic alterationsEGFRnon-small cell lung cancertyrosine kinase inhibitorsuncommon EGFR mutations

Identifiers

PMID34513661
PMCPMC8426345
OpenAlexW3195119011

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.