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Record W1542500680 · doi:10.1159/000435904

Lack of Association between <b><i>MDR1</i></b> G2677T/A Polymorphism and Leukemia Risk: An Updated Meta-Analysis

2015· review· en· W1542500680 on OpenAlexaboutno aff
Limin Ma, Haiping Yang, Lin-Hai Ruan

Bibliographic record

VenueOncology Research and Treatment · 2015
Typereview
Languageen
FieldMedicine
TopicDrug Transport and Resistance Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsMeta-analysisLeukemiaMedicineInternal medicinePolymorphism (computer science)OncologyGeneticsBiologyAlleleGene

Abstract

fetched live from OpenAlex

available. 2 authors examined the retrieved literature independently and disagreement was resolved by consensus. The quality of the included studies was evaluated using the Newcastle-Ottawa Scale. A maximum score of 9 points could be assigned, where studies with 6 or more points were considered high-quality studies. The pooled odds ratios and 95% confidence intervals were used to assess the strength of association. Totally, 9 studies bearing 1,389 cases and 1,823 controls were included in the meta-analysis. Supplemental table 1 (www.karger.com/?DOI=435904) summarizes the main characteristics of the included studies. In overall comparisons, there was no significant association between MDR1 G2677T/A polymorphism and leukemia risk under 4 genetic models. In the stratification analyses by ethnicity, age, leukemia subtype, and control source, no significant association was observed in any subgroup. The main results of quantitative synthesis are listed in supplemental table 2 (www.karger.com/?DOI=435904). Sensitivity analysis was conducted by omission of studies not in HardyWeinberg equilibrium, and the combined results were not statistically significantly changed, which showed the relative stablity and credibility of the results of the present meta-analysis. A funnel plot was applied to evaluate the publication bias and the results showed that all points in the funnel plot were distributed symmetrically, revealing no statistical evidence for publication bias. In this report, we found no significant association between MDR1 G2677T/A polymorphism and the risk for leukemia in the overall population and the stratification analyses. The results of this meta analysis were not in line with the study reported by Yan et al. [5], in which a significant association was found in Asians and Africans and myeloid leukemia, suggesting that G2677T polymorphism might be a protective factor in the susceptibility to myeloid leukemia. Our results are more convincing because of the relatively lager sample size. However, some limitations should be kept in mind. First, subgroup analyses could not be conducted in Africans and mixed population due to the limited number of

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.729
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0090.002
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.215
GPT teacher head0.436
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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