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Evaluation of Excess Statistical Significance in Meta-analyses of 98 Biomarker Associations with Cancer Risk

JNCI: Journal of the National Cancer Institute(2012)10.1093/jnci/djs437Source: DataRank Database

Evaluation of Excess Statistical Significance in Meta-analyses of 98 Biomarker Associations with Cancer Risk is a research paper published in JNCI: Journal of the National Cancer Institute (2012). On theSindex it has a DataRank of 3.0. It has been cited 96 times, with 59 citing works in its 1-hop citation network.

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3.0DataRank · unranked

Scored on demand from live citation data

Open Access96 citations · 59 citing works in its network

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Linked data & code

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (1 grants)Impact (FWCI 6.27)OA: bronzeTopics (69)Linked Datasets (8)DataCite Reuse (8)IDs (PubMed, OpenAlex)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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DataRank Breakdown

Base Score 23%Citation Network 77%

Base Score Contribution

0.686

From this paper's citation signal

Citation Network Contribution

2.3

From 52 citing papers with measurable signal

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Authors (4)

Evangelos Evangelou ORCID,John P. A. Ioannidis ORCID,Stefania I. Papatheodorou ORCID,Konstantinos K. Tsilidis ORCID

Live enrichment

PubMed:23090067 OpenAlex:https://openalex.org/W2158207503

European Commission

Grant: 276017

The association between type 2 diabetes diagnosis and diabetes medications with risk of cancer

FWCI

6.27

Citation Percentile

1.0%

Citation Trend

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bronze

journalhttps://academic.oup.com/jnci/article-pdf/104/24/1867/17311953/djs437.pdf

publisherhttps://academic.oup.com/jnci/article-pdf/104/24/1867/17311953/djs437.pdf

publisherhttp://academic.oup.com/jnci/article-pdf/104/24/1867/17311953/djs437.pdf

journalhttps://doi.org/10.1093/jnci/djs437

repositoryhttps://pubmed.ncbi.nlm.nih.gov/23090067

Fields of Study

Meta-analysis and systematic reviewsBiological Research and Disease StudiesAdvanced Biosensing Techniques and Applications03 medical and health sciences0302 clinical medicineAlphapapillomavirusBiasBiomarkers, TumorConfounding Factors, EpidemiologicData Interpretation, StatisticalHelicobacter InfectionsHelicobacter pyloriHepatitis, Viral, HumanHumansInflammationMeta-Analysis as TopicNeoplasmsPapillomavirus InfectionsPredictive Value of TestsRisk FactorsSomatomedins

MeSH Terms

Data Interpretation, StatisticalHepatitis, Viral, HumanHumansInflammationNeoplasmsPredictive Value of TestsRisk FactorsSomatomedinsBiomarkers, TumorMeta-Analysis as TopicBiasConfounding Factors, EpidemiologicHelicobacter pyloriHelicobacter InfectionsPapillomavirus InfectionsAlphapapillomavirus

Keywords

Meta-analysisMedicineInternal medicineBiomarkerStatistical significanceCancerOncologyBiologyHepatitis, Viral, HumanEffect sizeAlphapapillomavirusMedical and Health SciencesHelicobacter infectionHepatitisHelicobacter InfectionsCancer riskBiasMeta-Analysis as TopicPredictive Value of TestsRisk FactorsSomatomedinsNeoplasmsBiomarkers, TumorHumansInflammationHelicobacter pyloriDietary intakePapillomavirus InfectionsConfounding Factors, EpidemiologicEnvironmental factorData Interpretation, StatisticalClinical Medicine

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Good health and well-being

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