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Record W2350993490

ABO blood group and the risk of gastric cancer: a case-control study and meta-analysis

2014· article· en· W2350993490 on OpenAlexaboutno aff
Wang Zai-bia

Bibliographic record

VenueAcademic Journal of Second Military Medical University · 2014
Typearticle
Languageen
FieldMedicine
TopicBlood groups and transfusion
Canadian institutionsnot available
Fundersnot available
KeywordsABO blood group systemMedicineMeta-analysisInternal medicineBlood type (non-human)CancerCase-control studyGastroenterologySubgroup analysisRisk factorPopulationOncology
DOInot available

Abstract

fetched live from OpenAlex

Objective To evaluate the relationship between ABO blood group system and the risk of gastric cancer by casecontrol study and meta-analysis. Methods In our case-control study,930 cases of gastric cancer were enrolled and 8 426 cases with other diseases were taken as controls from Changhai Hospital. PubMed were searched with unlimited initial time and the cutoff time on December 31,2013; and our case-control study was also included. Two reviewers evaluated the quality of the included case-control studies by Newcastle-Ottawa scale( NOS) and extracted the data independently. The meta-analysis was performed by Meta-Analyst 3. 13 software. Results The case-control study showed that blood type A might be a risk factor of gastric cancer( OR = 1. 58; 95% CI: 1. 37-1. 81). The results of meta-analysis showed that the risk of gastric cancer of blood group A was significantly higher than that of non-A groups( OR = 1. 28; 95% CI: 1. 01-1. 62); meanwhile,blood group O demonstrated a lower risk of gastric cancer compared with non-O groups( OR = 0. 84; 95% CI: 0. 73-0. 96); subgroup analysis found differences between home population and foreign population. Conclusion ABO blood group system is associated with the risk of gastric cancer,and type A might be one of the risk factors of gastric cancer.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.273
Threshold uncertainty score0.782

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.235
Teacher spread0.223 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreEmpirical

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

Citations1
Published2014
Admission routes1
Has abstractyes

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