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S1427 Is Acid Suppression Therapy Associated With Increased Risk of Cardia Gastric Cancer? A Meta-Analysis

2021· article· en· W3209201004 on OpenAlexaboutno aff
Chenyu Sun, Yue Chen, Mohamed R. Ismail, John Pocholo W. Tuason, Xingyu Cheng, Lei Hu, Chandur Bhan, Na Hyun Kim, Apurwa Prasad, Nikitha Manem, Sujatha Kailas, Zeid Karadsheh

Bibliographic record

VenueThe American Journal of Gastroenterology · 2021
Typearticle
Languageen
FieldMedicine
TopicGastric Cancer Management and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMeta-analysisCochrane LibraryOdds ratioInternal medicineCancerConfidence intervalPublication biasSubgroup analysisSample size determinationEsophageal cancerAdenocarcinomaGastroenterologyStatistical significanceOncologyStatistics

Abstract

fetched live from OpenAlex

Introduction: Gastric cancer (GC) ranks as the 3rd most common cause of cancer-related deaths and is the 5th most common cause of cancer overall. Among GC, anatomic cardia gastric cancer (CGC) is less common and generally follows the same demographic and risk factor profile as esophageal adenocarcinoma or adenocarcinoma at the gastroesophageal junction. Acid-suppression therapy, including proton pump inhibitors (PPIs) and H2 receptor antagonists (H2RAs) have been reported to be associated with an increased risk of gastrointestinal tract cancers, but conclusions of previous studies were inconsistent. Thus, this meta-analysis was conducted. Methods: A comprehensive literature search on PubMed, Web of Science, and CNKI were conducted to identify all relevant studies published prior to May 2021 according to the established inclusion criteria. The quality assessment was performed by the Newcastle-Ottawa Scale (NOS). The pooled odds risk (OR) and 95% confidence intervals (CI) were calculated to estimate the association between the acid-suppression therapy and CGC risk. A random-effect or fixed-effect model was used to calculate the pooled OR, based on heterogeneity significance. Subgroup analyses were conducted by acid suppressant type, study location, and sample size. Sensitivity analysis and publication bias detection were also performed. All statistical analyses were performed using RevMan software (version 5.4.1; Cochrane library) and STATA 15.1 statistical software (Stata Corp., College Station, TX), and all P values were two-tailed, the test level was 0.05. Results: Three hundred and twenty-six articles were obtained, and 5 moderate to high-quality articles with 86,845 participants were included. No statistically significant association between acid-suppression therapy and CGC risk was found (OR 1.23, 95% CI: 0.83, 1.82, P = 0.29, I2 = 54%). In subgroup analyses based on acid suppressant type, study location, and sample size, similar conclusions were also found as shown in the table. Sensitivity analysis by changing effect models confirmed the relative stability of the result. Funnel plot, Egger's test, and Begg's test found no publication bias of analysis. Conclusion: The current meta-analysis demonstrates no association between acid-suppression therapy and increased CGC risk. However, more original studies are still needed to further clarify this conclusion.Table 1.: Results of quality assessment and Results of subgroups analyses. PPIs: Proton pump inhibitors; H2RA: H2 receptor antagonists, N/A: Not applicable.Figure 1.: Forest plot showing the occurrence of gastric cancer in a) patients with Juvenile Polyposis Syndrome. b) patients with SMAD4 PV related Juvenile Polyposis syndrome.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.590

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.026
GPT teacher head0.287
Teacher spread0.261 · 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 designObservational
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".

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Citations2
Published2021
Admission routes1
Has abstractyes

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