Evidence map›Paper›PMID 30647107›Full record

ArticleBioscience reports2019

Treatment of clinical T4 stage superior sulcus non-small cell lung cancer: a propensity-matched analysis of the surveillance, epidemiology, and end results database.

Junmiao Wen, Di Liu, Donglai Chen, Jiayan Chen, Xinyan Xu, Chang Chen, Fuquan Zhang, Shanzhou Duan, Rongying Zhu, Min Fan and 1 more

Abstract read
In one paragraph

Article in Bioscience reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

11 authors.

Junmiao WenDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Di LiuDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Donglai ChenDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China.
Jiayan ChenDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Xinyan XuDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Chang ChenDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China.
Fuquan ZhangDepartment of Cardiothoracic Surgery, the Second Affiliated Hospital of Soochow, University, Medical College of Soochow University, Suzhou, China.
Shanzhou DuanDepartment of Cardiothoracic Surgery, the Second Affiliated Hospital of Soochow, University, Medical College of Soochow University, Suzhou, China.
Rongying ZhuDepartment of Cardiothoracic Surgery, the Second Affiliated Hospital of Soochow, University, Medical College of Soochow University, Suzhou, China.
Min FanDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China minfan20141212@hotmail.com chentongt@sina.com.
Yongbing ChenDepartment of Cardiothoracic Surgery, the Second Affiliated Hospital of Soochow, University, Medical College of Soochow University, Suzhou, China minfan20141212@hotmail.com chentongt@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AdultAgedAged, 80 and overCarcinoma, Non-Small-Cell LungFemaleHumansKaplan-Meier EstimateLung NeoplasmsLymphatic MetastasisMaleMiddle AgedPrognosisProportional Hazards ModelsRetrospective StudiesSEER ProgramSurvival RateradiotherapySS-NSCLCstage IVsurgery

Identifiers

PMID30647107
PMCPMC6356038

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.