ArticleScientific reports2026
A predictive model for treatment efficacy in RAS wild-type advanced colorectal cancer: development and external validation for EGFR inhibitor plus anti-angiogenic therapy based on a retrospective cohort.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Efficacy of EGFR inhibitor-anti-angiogenic combination therapy varies substantially in RAS wild-type advanced colorectal cancer (CRC), and current clinical guidelines lack individualized predictive tools to identify optimal candidates and tailor regimens. This study aimed to develop and externally validate a multi-dimensional efficacy prediction model to address this unmet clinical need. This retrospective multi-center study included 600 RAS wild-type advanced CRC patients (development cohort: 420 patients from two centers; external validation cohort: 180 patients from an independent center) treated with EGFR inhibitors (cetuximab/panitumumab) plus anti-angiogenic agents (bevacizumab/fruquintinib/regorafenib) between 2018 and 2021. Candidate variables encompassed clinical, laboratory, radiomic, and biological indices. Radiomic features were screened via ANOVA-dimensionality reduction, and LASSO-Cox regression was used for variable selection and nomogram construction (with shrinkage calibration to reduce overfitting). Model performance was evaluated by discrimination (AUC), calibration (Hosmer-Lemeshow test), and clinical utility (decision curve analysis [DCA]); the overfitting risk was assessed by calculating events per variable (EPV), and model stability was verified by multi-step internal validation (tenfold cross-validation, bootstrap resampling) and subgroup/risk stratification analyses. The final nomogram integrated five core predictors: vascular density, neutrophil-to-lymphocyte ratio (NLR), carcinoembryonic antigen (CEA), metastatic sites, and ECOG score. The model exhibited moderate discrimination with clinical practical value (development cohort AUC = 0.641, 95%CI 0.588-0.691; validation cohort AUC = 0.532, 95%CI 0.445-0.617), which is consistent with the performance of most multi-dimensional clinical prediction models for advanced colorectal cancer reported in similar studies (AUC range 0.58-0.68). Meanwhile, the model showed excellent calibration in the external validation set (H-L χ
Indexed as
Identifiers
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.