ArticleTranslational cancer research2020
Associations between polymorphisms in genes of base excision repair pathway and lung cancer risk.
Article in Translational cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
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Who cites it
1 citing paper in PubMed, 3 citations in OpenAlex.
- Bipolar disorder and somatic diseases: Focus on oxidative stress markers.Neuroscience applied · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe correlation between at-risk polymorphisms in genes of base excision repair (BER) pathways and lung cancer (LC) risk was newly considered but still not clear, a systematic review and updated meta-analysis was performed in the current study.
methodsWe identified and recorded the eligible publications from Google Scholar, PubMed, Medicine and Web of Science. For all calculates, odds ratios (ORs) and 95% confidence intervals (CIs) were applied to estimate the potential relationship between these genetic variants and LC risk. Subsequently, Begg's funnel plot and Egger's test were used to appraising the publication bias.
resultsA total of 202 case-control studies extracted from 116 publications were enrolled. Firstly, we analyzed six polymorphisms in
conclusions
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What OpenQuestion holds
Registered trials
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.