Back

Gut

17 training papers 2019-06-25 – 2026-03-07

Top medRxiv preprints most likely to be published in this journal, ranked by match strength.

1
Potassium-competitive acid channel blockers versus Proton-Pump inhibitors in the prevention of post-endoscopic peptic ulcer rebleeding: A systematic review and meta-analysis
2026-03-06 gastroenterology 10.64898/2026.03.02.26346403
Top 0.2% (6.6%)
Show abstract

Introduction Vonoprazan, a new oral potassium-competitive acid blocker (PCAB), has shown promise in terms of superior acid suppression when compared to Proton pump inhibitors (PPIs). We evaluated the efficacy of PCABs versus PPIs in preventing rebleeding in high-risk peptic ulcer patients after endoscopic hemostasis. Methods Following the Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA) guidelines, we conducted a comprehensive search for relevant studies across Medline...

2
Stability of Microbiome-Derived Fatty Acids in Self-Collected Samples: A Comparative Evaluation of Stool and Blood Matrices
2026-03-06 gastroenterology 10.64898/2026.03.05.26347712
Top 0.8% (4.9%)
Show abstract

Background Short-chain fatty acids (SCFAs) are widely used as functional readouts of gut microbial activity in vivo. The growing adoption of decentralised study designs and self-collection protocols has amplified the need for reliable room-temperature storage and shipment strategies. However, SCFAs volatility and the persistence of post-collection microbial metabolism raise concerns regarding pre-analytical stability and the interpretability of measured concentrations. Methods We assessed the te...

3
Improving the detection of clinically significant steatotic liver disease using a machine learning algorithm in a real-world primary care population
2026-03-05 gastroenterology 10.64898/2026.03.04.26347631
Top 0.9% (4.2%)
Show abstract

Background and aimsPopulation screening for liver disease in high-risk groups is recommended. Community diagnosis of liver disease is a challenge due to the asymptomatic nature of disease until very advanced stages. Moreover, regional variation in testing availability can result in people with clinically significant liver disease being missed. Machine learning (ML) has been proposed as a method to reduce diagnostic error and automate screening. We present a novel machine learning derived algorit...

4
BEGA-UNet: Boundary-Explicit Guided Attention U-Net with Multi-Scale Feature Aggregation for Colonoscopic Polyp Segmentation
2026-03-05 gastroenterology 10.64898/2026.03.04.26347608
Top 1.0% (4.0%)
Show abstract

Accurate polyp segmentation from colonoscopy images is critical for colorectal cancer prevention, yet the generalization of deep learning models under domain shift remains insufficiently explored. We propose Boundary-Explicit Guided Attention U-Net (BEGA-UNet), a boundary-aware segmentation architecture that introduces explicit edge modeling as a structural inductive bias to enhance both segmentation accuracy and cross-domain robustness. The framework integrates three components: an Edge-Guided ...

5
Analysis Of Clinicopathological Histomorphological And Molecular Differences In Right And Left Sided Colonic Carcinoma
2026-03-04 health systems and quality improvement 10.64898/2026.03.03.26347325
Top 1% (3.7%)
Show abstract

BackgroundColorectal carcinoma (CRC) remains a significant cause of cancer morbidity and mortality worldwide. Right- and left-sided tumours differ in clinical, morphological, and molecular features. Microsatellite instability-high (MSI-H) tumours, often right-sided, are associated with distinct histopathological characteristics and prognostic implications. In Sri Lanka, molecular MSI testing is currently unavailable, highlighting the need for alternative predictive approaches. ObjectivesGeneral...

6
Enhanced Recovery After Surgery (ERAS) Increases Long-Term Survival Rate after Surgery in Colorectal Cancer Patients: A Systematic Review and Meta-Analysis
2026-03-06 nutrition 10.64898/2026.03.05.26347672
Top 1% (1.4%)
Show abstract

Abstract Background: Enhanced Recovery After Surgery (ERAS) optimizes perioperative management for colorectal cancer (CRC), improving short-term outcomes, but its impact on long-term outcomes remains inconclusive, supporting the need for this meta-analysis. This study evaluates the effect of perioperative ERAS (therapy-focused) on 1-, 2-, 3-, and 5-year postoperative survival in patients with CRC. Methods: We conducted a systematic review and meta-analysis following a pre-registered protocol in ...

7
Integrative screening identifies functional variants and VNTRs underlying GWAS signals at the 5p15.33 multi-cancer susceptibility locus
2026-03-04 genetic and genomic medicine 10.64898/2026.03.03.26347427
Top 2% (0.9%)
Show abstract

Chromosome 5p15.33 harbors several independent association signals which demonstrate antagonistic pleiotropy across cancer types, with causal mechanisms largely unresolved. To identify functional variants and enhancer elements at this locus, we performed statistical fine-mapping followed by massively parallel reporter assays (MPRA) and proliferation based CRISPRi screens. This approach identified eight multi-cancer functional variants (MCFVs) across three GWAS signals. Targeting rs421629 (part o...

8
Heterogeneity of survival outcomes in ypN1 breast cancer after neoadjuvant therapy: The role of residual nodal burden in axillary de-escalation
2026-03-05 oncology 10.64898/2026.03.04.26347623
Top 2% (0.5%)
Show abstract

BackgroundThe management of residual axillary disease after neoadjuvant therapy (NAT) remains controversial, as current recommendations often treat ypN1 breast cancer as a homogeneous entity despite potential prognostic heterogeneity. Evidence supporting uniform axillary surgical strategies across different levels of residual nodal burden is limited. We investigated whether survival associations related to axillary surgical evaluation differ according to residual nodal burden in ypN1 disease, us...

9
Dietary patterns and nutritional composition of packed lunches in early years education settings
2026-03-04 nutrition 10.64898/2026.03.03.26347536
Top 2% (0.5%)
Show abstract

BackgroundPacked lunches are a common feature of early childhood food provision, yet evidence describing their nutritional composition in early years settings remains limited. Understanding the foods provided during this developmental period is important, given the potential influence of early dietary exposures on later health. AimTo characterise the composition, nutritional quality, cost, and dietary patterns of packed lunches brought from home in Early Childhood Education and Care settings, a...

10
Performance of an Optimized Methylation-Protein Multi-Cancer Early Detection (MCED) Test Classifier
2026-03-04 oncology 10.64898/2026.03.03.26347329
Top 3% (0.5%)
Show abstract

Multi-cancer early detection (MCED) tests can detect several cancer types and stages. We previously developed a methylation and protein (MP V1) MCED classifier. In this study, we present a refined MP V2 classifier, developed by evaluating model architectures that improved performance in prospectively enrolled case-control cohorts under standard testing conditions. The newly developed MP V2 classifier was trained to be more generalizable and achieve increased early-stage sensitivity at a target s...

11
Application of a Concise Video to Improve Patient Understanding of Tumor Genomic Testing in Community and Academic Practice Settings
2026-03-06 oncology 10.64898/2026.03.05.26347758
Top 3% (0.5%)
Show abstract

Purpose: Tumor genomic testing (TGT) is standard-of-care for most patients with advanced/metastatic cancer. Despite established guidelines, patient education prior to TGT is frequently omitted. The purpose of this study was to evaluate the impact and durability of a concise 3-4 minute video for patient education prior to TGT in community versus academic sites and across cancer types. Patients and Methods: Patients undergoing standard-of-care TGT were enrolled at a tertiary academic institution ...

12
When Survival Improves But Quality of Life Does Not: A Model-Based Meta-Analysis of Immune Checkpoint Inhibitors
2026-03-05 oncology 10.64898/2026.03.04.26347610
Top 4% (0.5%)
Show abstract

BackgroundIn immune checkpoint inhibitor (ICI) trials, overall survival (OS) benefits are well established, yet improvements in quality of life (QoL) are often inconsistent or absent in conventional analyses. This apparent discordance raises important questions: are QoL outcomes truly unrelated to survival, and how can QoL results be better utilized and interpreted? MethodsA model-based meta-analysis (MBMA) of longitudinal EORTC QLQ-C30 global health status/quality of life data from randomized ...

13
Time of Day as an Unmeasured Confounder in Oncology Trials
2026-03-06 oncology 10.64898/2026.03.05.26347742
Top 4% (0.5%)
Show abstract

A recent randomized clinical trial in non-small cell lung cancer1 confirms what numerous observational studies have reported time of day (ToD) may dramatically influence treatment outcomes in cancer patients. In this recent trial median overall survival (OS) decreased from 28 months in the early ToD arm to 16.8 months in the late ToD arm. We raise the concern that clinical trial outcomes may be influenced by seemingly minor biases in treatment time across arms. We also suggest that by measuring ...

14
OncoRAG: Graph-Based Retrieval Enabling Clinical Phenotyping from Oncology Notes Using Local Mid-Size Language Models
2026-03-06 oncology 10.64898/2026.03.05.26347717
Top 4% (0.4%)
Show abstract

Introduction: Manual data extraction from unstructured clinical notes is labor-intensive and impractical for large-scale clinical and research operations. Existing automated approaches typically require large language models, dedicated computational infrastructure, and/or task-specific fine-tuning that depends on curated data. The objective of this study is to enable accurate extraction with smaller locally deployed models using a disease-site specific pipeline and prompt configuration that are ...

15
A spatial multi-omic portrait of survival outcome for clear cell renal cell carcinoma
2026-03-04 oncology 10.64898/2026.03.02.26347390
Top 6% (0.3%)
Show abstract

Clear cell renal cell carcinoma (ccRCC) is the leading cause of kidney cancer-related death, but how the tumor microenvironment shapes patient survival is not completely understood. Here, we describe the characterization of ccRCC tumor ecosystems from 498 patients using imaging mass cytometry with a focus on tumor, myeloid, and T cell landscapes. Data from more than 3 million single cells is analyzed using machine-learning to identify key ecosystem features that outperform basic clinical data fo...

16
Gene to Morphology Alignment via Graph Constrained Latent Modeling for Molecular Subtype Prediction from Histopathology in Pancreatic Cancer
2026-03-06 oncology 10.64898/2026.03.05.26347711
Top 6% (0.3%)
Show abstract

Molecular subtyping of cancer is traditionally defined in transcriptomic space, yet routine clinical deployment is limited by the availability and cost of sequencing. Meanwhile, histopathology captures rich morphological information that is known to correlate with molecular state but lacks a principled, mechanistic bridge to gene-level representations. We propose a graph-constrained learning framework that aligns morphology-derived signals with a fixed, data-driven gene network discovered via hi...

17
Sex-stratified Integrated Analysis of US lung Cancer Mortality, 1994-2020
2026-03-06 oncology 10.64898/2026.03.01.26347234
Top 6% (0.3%)
Show abstract

Importance: Lung cancer mortality in the United States has fallen substantially in recent decades, yet the relative influence of behavioral, environmental, socioeconomic, and therapeutic factors and their sex specific contributions remains unclear. Understanding these drivers is essential to sustain progress and reduce persistent disparities. Objective: To quantify how behavioral, environmental, socioeconomic, and therapeutic determinants collectively shaped US lung cancer mortality from 1994 to...

18
Association of the FTO rs9939609 variant with glycemic control
2026-03-05 genetic and genomic medicine 10.64898/2026.03.05.26347689
Top 6% (0.3%)
Show abstract

Type 2 diabetes (T2D) affects 11.1% of the global population, underscoring the need for biomarkers that inform treatment response and glycemic outcomes. We evaluated the association between the FTO variant rs9939609-A and glycemic control in a Mexican population. A total of 174 individuals living with T2D from Merida and Sisal, Yucatan, were included, of whom 85% were receiving oral hypoglycemic agents as main treatment. Glycemic control was defined cross-sectionally as good ([≤]130 mg/dL, n=...

19
Skin Residual Bilirubin Volume (SRBV): A Physiologically Informed Framework for Transcutaneous Bilirubin Interpretation in Neonates
2026-03-04 pediatrics 10.64898/2026.03.03.26347511
Top 6% (0.3%)
Show abstract

BackgroundNeonatal jaundice management increasingly relies on transcutaneous bilirubinometry (TcB), yet discrepancies with serum bilirubin (TSB) have limited its clinical reliability. This study introduces Skin Residual Bilirubin Volume (SRBV) as a physiologically grounded framework to enhance TcB interpretation. ObjectiveTo evaluate SRBV as an explanation for TcB-TSB discordance and assess whether incorporating SRBV improves the interpretability and reliability of TcB measurements during diagn...

20
Cost-effectiveness of addressing constraints in childhood acute malnutrition management in Malawi using the Thanzi La Onse health system simulation framework
2026-03-06 nutrition 10.64898/2026.03.05.26347696
Top 6% (0.3%)
Show abstract

Background Acute malnutrition remains a major public health challenge among children under five in Malawi due to undetected and untreated cases. While several policies and programmes are in place, they face significant resource input and implementation constraints. In this study, we evaluate the potential health impact and cost-effectiveness of three interventions designed to address constraints along the care pathway in childhood acute malnutrition management. These include improving early reco...