Evidence map›Paper›PMID 24615522›Full record

SynthesisTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2014

Quantitative assessment of common genetic variants on chromosome 5p15 and lung cancer risk.

Hongyu Wu, Ren Zhu

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Oncotarget · 2017
    Article
  3. Article
  4. Review
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

2 authors.

Hongyu WuDepartment of Radiation Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, People's Republic of China, Hongyu_Wu001@163.com.
Ren Zhu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several genome-wide association studies on lung cancer (LC) have reported similar findings of a new susceptibility locus, 5p15. After that, a number of studies reported that the rs2736100, rs401681, rs402710, and rs31489 polymorphisms at chromosome 5p15 have been implicated in LC risk. However, the studies have yielded contradictory results. To derive a more precise estimation of the relationship, we performed this meta-analysis. Databases including MEDLINE, PubMed, EMBASE, ISI Web of Science, and China National Knowledge Infrastructure (CNKI) were searched to find relevant studies. Odds ratios (ORs) with 95 % confidence intervals (CIs) were used to assess the strength of association. The random effect model was applied, addressing heterogeneity and publication bias. A total of 31 articles involving 72,401 cases and 141,258 controls were included. Overall, significantly elevated LC risk was associated with rs2736100, rs401681, rs402710, and rs31489 polymorphisms when all studies were pooled into the meta-analysis. In the subgroup analysis by ethnicity, sample size, histology, sex, and smoking behavior, significantly increased risks were also detected for these polymorphisms. Our findings demonstrated that these common variations at 5p15 are a risk factor associated with increased LC susceptibility. However, these associations vary between different ethnicity.

Indexed as

Chromosomes, Human, Pair 5Genetic Predisposition to DiseasePolymorphism, GeneticGenetic VariationHumansLung NeoplasmsMembrane ProteinsNeoplasm ProteinsPublication BiasRiskTelomeraseCLPTM1L protein, humanMembrane ProteinsNeoplasm ProteinsTelomeraseTERT protein, human

Identifiers

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Registered trials

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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.