Evidence map›Paper›PMID 40538399›Full record

ArticleFrontiers in medicine2025

Predictive value of preoperative inflammatory response markers on short-term postoperative complications following colorectal surgery: a secondary analysis of a randomized clinical trial.

Ning Bu, Chang Liu, Zhidong Kong, Wei Gao, Yaomin Zhu

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ning BuDepartment of Anesthesiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Chang LiuDepartment of Anesthesiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Zhidong KongDepartment of Anesthesiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Wei GaoDepartment of Anesthesiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Yaomin ZhuDepartment of Anesthesiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Numerous inflammatory biomarkers have been identified to possess a positive prognostic value in relation to the clinical outcomes of patients with various cancers. Despite this, there is a paucity of comprehensive studies that compare the prognostic value of commonly used inflammatory parameters specifically within colorectal cancer (CRC) populations. These parameters include the peripheral blood neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune inflammation index (SII), albumin-to-globulin ratio (AGR), and prognostic nutritional index (PNI). Thus, the objective of this research was to conduct a thorough comparison of the predictive potential value of preoperative commonly used inflammatory response markers in CRC patients. Methods: This is a retrospective, single-center cohort analysis. We performed a secondary analysis of 392 individuals with CRC who fulfilled our inclusion criteria and were admitted to the First Affiliated Hospital of Xi'an Jiaotong University between June 2018 and August 2019. Initially, the clinical data including baseline demographics, laboratory indices, type of surgery, type of anesthesia, and postoperative complications were collected. Then, the prognostic efficacy and threshold values of preoperative inflammatory biomarkers were ascertained through the employment of receiver operating characteristic (ROC) curves. Finally, both univariate and multivariate analyses were conducted to discern the risk factors contributing to postoperative complications with CRC patients. Results: In the present study, 54 (13.78%) patients experienced surgical complications. According to ROC curve analysis, PNI possessed the strongest predictive ability for surgical complications (AUC = 0.706, 95% CI = 0.642-0.770; Conclusion: Preoperative PNI possesses superior ability and serves as an independent predictor of clinical complications following colorectal resection surgery. Multidisciplinary teams should focus on addressing patients' immunonutrition status before surgery.

Indexed as

colorectal tumorinflammation-based markerspostoperative complicationsprognostic valueshort-term

Identifiers

PMID40538399
PMCPMC12176832

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.