ArticleTranslational cancer research2026
Preoperative peripheral blood lymphocyte subsets integrated with geriatric nutritional risk index for prognostic assessment in elderly colorectal carcinoma patients.
Article in Translational cancer research, 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
Background: Prognosis in elderly colorectal cancer (CRC) patients is generally poor, predominantly attributable to the interrelated phenomena of immunosenescence and malnutrition. Current prognostic assessment tools typically evaluate nutritional and immune status in isolation, potentially overlooking the synergistic effects of these interconnected factors on patient outcomes. Therefore, this investigation aims to establish a comprehensive immuno-nutritional biomarker, integrating lymphocyte subset profiles and the Geriatric Nutritional Risk Index (GNRI), to prognosticate postoperative outcomes in elderly CRC patients. Methods: A retrospective cohort of 201 elderly CRC patients undergoing curative resection at our institution between October 2018 and July 2020 was analyzed. Immunological and nutritional parameters were selected via least absolute shrinkage and selection operator (LASSO) regression to formulate a novel composite biomarker, designated as lymphocyte subsets-GNRI (LS-GNRI). Survival analyses employing Kaplan-Meier estimators and Cox proportional hazards models assessed the correlation of LS-GNRI with overall survival (OS) and disease-free survival (DFS). A prognostic nomogram integrating LS-GNRI and variables identified through multivariate Cox regression was constructed, with predictive accuracy and practicality evaluated via area under the curve (AUC), calibration plots (CAL), decision curve analysis (DCA), and clinical impact curves (CIC). Results: Results indicated that the LS-GNRI biomarker demonstrated independent prognostic significance for elderly CRC patients [hazard ratio (HR): 0.323, 95% confidence interval (CI): 0.217-0.480, P<0.001]. Patients with elevated LS-GNRI exhibited significantly improved OS and DFS, with AUCs for 1-, 3-, and 5-year survival predictions of 0.763, 0.82, and 0.753, respectively. The nomogram incorporating LS-GNRI, age, carcinoembryonic antigen (CEA), tumor staging, Conclusions: In conclusion, LS-GNRI constitutes a robust composite biomarker for postoperative prognostication in elderly CRC patients. Furthermore, a prognostic nomogram incorporating LS-GNRI, patient age, CEA levels, tumor staging,
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.