Evidence map›Paper›PMID 29108351›Full record

ArticleOncotarget2017

Generating a robust prediction model for stage I lung adenocarcinoma recurrence after surgical resection.

Yu-Chung Wu, Nien-Chih Wei, Jung-Jyh Hung, Yi-Chen Yeh, Li-Jen Su, Wen-Hu Hsu, Teh-Ying Chou

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. 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
0.2field-weighted citation impact, top 41% 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. 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 4 institutions in 1 country.

Yu-Chung WuDivision of Thoracic Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan.
Nien-Chih WeiAuspex Diagnostics, Taipei, Taiwan.
Jung-Jyh HungDivision of Thoracic Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan.
Yi-Chen YehDivision of Molecular Pathology, Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Li-Jen SuCore Facilities for High Throughput Experimental Analysis, Institute of Systems Biology and Bioinformatics, National Central University, Jhong-Li, Taiwan.
Wen-Hu HsuDivision of Thoracic Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan.
Teh-Ying ChouDivision of Molecular Pathology, Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Taipei Veterans General Hospital · TWNational Central University · TWNational Yang Ming Chiao Tung University · TWNational Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer mortality remains high even after successful resection. Adjuvant treatment benefits stage II and III patients, but not stage I patients, and most studies fail to predict recurrence in stage I patients. Our study included 211 lung adenocarcinoma patients (stages I-IIIA; 81% stage I) who received curative resections at Taipei Veterans General Hospital between January 2001 and December 2012. We generated a prediction model using 153 samples, with validation using an additional 58 clinical outcome-blinded samples. Gene expression profiles were generated using formalin-fixed, paraffin-embedded tissue samples and microarrays. Data analysis was performed using a supervised clustering method. The prediction model generated from mixed stage samples successfully separated patients at high vs. low risk for recurrence. The validation tests hazard ratio (HR = 4.38) was similar to that of the training tests (HR = 4.53), indicating a robust training process. Our prediction model successfully distinguished high- from low-risk stage IA and IB patients, with a difference in 5-year disease-free survival between high- and low-risk patients of 42% for stage IA and 45% for stage IB (

Indexed as

adjuvant therapydata aggregationlung adenocarcinomaprediction modelrecurrence

Identifiers

PMID29108351
PMCPMC5668084
OpenAlexW2734657741

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.