Evidence map›Paper›PMID 31462928›Full record

ArticleBioData mining2019

RNSCLC-PRSP software to predict the prognostic risk and survival in patients with resected T

Yunkui Zhang, YaoChen Li, Rongsheng Zhang, Yujie Zhang, Haitao Ma

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BioData mining, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Yunkui Zhang1Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, No. 899 Pinghai Road, Suzhou, 215006 China.
YaoChen LiThe Central Laboratory of Cancer Hospital of Shantou University Medical College, Guangdong Provincial Key Laboratory on Breast Cancer Diagnosis and Treatment Research, No. 7 Raoping Road, Shantou, 515031 China.
Rongsheng Zhang2Department of Thoracic Surgery, Shanxi Tumor Hospital, No. 3 Zhigongxin Street, Taiyuan, 030013 China.
Yujie Zhang2Department of Thoracic Surgery, Shanxi Tumor Hospital, No. 3 Zhigongxin Street, Taiyuan, 030013 China.
Haitao Ma1Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, No. 899 Pinghai Road, Suzhou, 215006 China.ORCID 0000-0002-2913-8033

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe clinical outcomes of patients with resected T

resultsUsing a Cox proportional hazard regression model, we determined the independent prognostic factors and obtained a prognostic index (PI) eq. PI = ∑

conclusionsAfter prognostic factor analysis, prognostic risk grouping and corresponding survival assessment, we developed a novel software program. It is practical and convenient for clinicians to evaluate the prognostic risk and corresponding survival of patients with resected T

Indexed as

Prognostic indexPrognostic risk predictionResected non-small cell lung cancerSoftwareSurvival prediction

Identifiers

PMID31462928
PMCPMC6708148

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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.