Observational studyScientific reports2025
Preoperative TNF-α predicts uneventful postoperative outcomes in patients undergoing colorectal cancer surgery.
Observational study in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04013841 (Bowel Preparation for Left Side Colon Surgery Impact on the Intestinal Microbiome), which is not on this map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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.
Bowel Preparation for Left Side Colon Surgery Impact on the Intestinal Microbiome: Oral Preparation vs Enema
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Cytokines at the Crossroads of Mitochondrial Dysfunction and Inflammation in Colorectal Cancer: Implications for Postoperative Complications.Molecular diagnosis & therapy · 2026Review
- Circulating miR-21 and miR-181a as Biomarkers for Predicting Postoperative Complications Following Colorectal Cancer Resection: A Longitudinal Observational Study.Journal of clinical medicine · 2026Article
- Expression of serum inflammatory markers in colorectal cancer and their relationship with clinical pathological characteristics.American journal of translational research · 2026Article
- Cytokine and chemokine networks in colorectal cancer.Frontiers in immunology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
The development of novel biomarkers to predict postoperative complications (POCs) after colorectal cancer (CRC) surgery is essential, both for improving treatment outcomes and for facilitating the widespread use of same-day discharge following colectomy. This longitudinal observational study, a sub-study of a previous RCT, investigated the prognostic potential of a panel of novel biomarkers, including inflammatory cytokines (TNF-α, IL-1β, IL-2, IL-4, IL-6, IL-8, IL-10, IL-12p70, IL-17 A, INF-γ, IP-10, MCP-1, TGF-β1), alongside conventional biomarkers such as CRP and WBC levels, measured preoperatively and on postoperative day 6, for predicting POCs following CRC resection. Among 40 recruited patients, 38 were included in the final analysis. Patients who did not experience POCs had a significantly lower preoperative level of TNF-α (2.28 pg/mL vs. 68.77 pg/mL, p = 0.022). ROC curve analysis showed that TNF-α has significant (p = 0.012) discriminative capacity to distinguish between patients with POCs and those with an uneventful postoperative course, with an AUC of 0.722 (95% CI: 0.555, 0.889). Multivariable analysis suggested that a low preoperative TNF-α level (< 55.35 pg/mL) may be an independent predictor of an uneventful postoperative course (Odds Ratio = 0.137, 95% CI: 0.023, 0.836). This study showed that preoperative levels of TNF-α demonstrates a moderate discriminative capacity to distinguish between patients with POCs and those with an uneventful postoperative course in patients undergoing surgery for left-side CRC, although the findings are limited by the small sample size and should be validated in larger cohorts.Clinical Trial Registration: NCT04013841, date of registration 2019-07-10.
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Identifiers
What Socratic 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 Socratic graph.