Evidence map›Paper›PMID 21762627›Full record

ArticleZhongguo fei ai za zhi = Chinese journal of lung cancer2011

[Forecasting model of risk of cancer in lung cancer pedigree in a case-control study].

Huan Lin, Wenzhao Zhong, Xuening Yang, Honghong Yan, Yilong Wu

Abstract readEnglish Abstract
In one paragraph

Article in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Risk prediction models for lung cancer: Perspectives and dissemination.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2019
    Article
4 · The record

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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.

Huan LinGuangdong General Hospital, Guangdong Academy of Medical Sciences, 
Guangzhou 510080, China.
Wenzhao Zhong
Xuening Yang
Honghong Yan
Yilong Wu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveAnnual lung screening using spiral computed tomography (CT), has a high sensitivity of detecting early lung cancer (LC), but its high rates of false-positive often lead to unnecessary surgery. The aim of this study is to create a forecasting model of high risk individuals to lung cancer.

methodsThe pathologic diagnoses of LC in Guangdong Lung Cancer Institute were consecutively chosen as the probands. All the members of the first-degree relatives of probands' and their spouses' were enrolled in this study. These pedigrees consisted of 633 probands' pedigrees and 565 spouses' pedigrees. Unless otherwise stated, analyses were performed using the SPSS 17.0 statistical software package.

resultsCompared with the control, a family history of carcinoma in first-degree relatives was significantly associated with LC risk (OR=1.71, P<0.001), the sub-group of either one infected individual or more than two infected individuals in first-degree relatives showed significantly statistical differences (P=0.005, P=0.002). In the forecasting model, the risk compared to that in Chinese population was from 0.38 to 63.08 folds. In the population whose risk was more than 10 times to the Chinese population, the accuracy rate of prediction was 88.1%.

conclusionsA family history of carcinoma in first-degree relatives was significantly associated with increased LC risk. The more infected individuals exist in first-degree relatives, the more risk was showed. In the forecasting model, smokers especially heavy ones whose risk were more than 10 times to the Chinese population should be receive annual screening. The population are positive at least any two conditions which including male, lung disease history, occupation expose and history of cancer in first-degree relative.

Indexed as

PedigreeAgedAged, 80 and overCase-Control StudiesFemaleHumansLung NeoplasmsMaleMiddle AgedRisk FactorsSmokingSoftware

Identifiers

PMID21762627
PMCPMC6000278

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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.