The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Systemic immune-inflammation index for predicting prognosis of colorectal cancer
Open accessAbstract
AIM: To investigate the clinical significance of preoperative systemic immune-inflammation index (SII) in patients with colorectal cancer (CRC). METHODS: A retrospective analysis of 1383 cases with CRC was performed following radical surgery. SII was calculated with the formula SII = (P × N)/L, where P, N, and L refer to peripheral platelet, neutrophil, and lymphocyte counts, respectively. The clinicopathological features and follow-up data were evaluated to compare SII with other systemic inflammation-based prognostic indices such as the neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) in patients with CRC. RESULTS: < 0.05). The SII was an independent predictor of OS and DFS in multivariate analysis. The area under the receiver-operating characteristics (ROC) curve for SII (0.707) was larger than those for NLR (0.602) and PLR (0.566). In contrast to NLR and PLR, SII could effectively discriminate between the TNM subgroups. CONCLUSION: SII is a more powerful tool for predicting survival outcome in patients with CRC. It might assist the identification of high-risk patients among patients with the same TNM stage.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Hu, B., Yang, X.-R., Xu, Y., Sun, Y.-F., Sun, C., Guo, W., Zhang, X., Wang, W.-M., Qiu, S.-J., Zhou, J., et al. (2014) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-14-0442 · Cited by 2,493
Cancer-related inflammation and treatment effectiveness
Diakos, C. I., Charles, K. A., McMillan, D. C., & Clarke, S. J. (2014) · The Lancet Oncology · doi:10.1016/s1470-2045(14)70263-3 · Cited by 2,193
Cited by
Inflammation-Related Biomarkers for the Prediction of Prognosis in Colorectal Cancer Patients
Yamamoto, T., Kawada, K., & Obama, K. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22158002 · Cited by 445
Prognostic value of Systemic immune-inflammation index in cancer: A meta-analysis
Yang, R., Chang, Q., Meng, X., Gao, N., & Wang, W. (2018) · Journal of Cancer · doi:10.7150/jca.25691 · Cited by 441
Liu, J., Li, S., Zhang, S., Liu, Y., Ma, L., Zhu, J., Xin, Y., Wang, Y., Yang, C., & Cheng, Y. (2019) · Journal of Clinical Laboratory Analysis · doi:10.1002/jcla.22964 · Cited by 364
Jin, Z., Wu, Q., Chen, S., Gao, J., Li, X., Zhang, X., Zhou, Y., He, D., Cheng, Z., Zhu, Y., et al. (2021) · Journal of Inflammation Research · doi:10.2147/jir.s283835 · Cited by 312
Association between Systemic Immune-Inflammation Index and Diabetic Depression
Wang, J., Zhou, D., Dai, Z., & Li, X. (2021) · Clinical Interventions in Aging · doi:10.2147/cia.s285000 · Cited by 238
Metadata
- Authors
- Chen, J.-H., Zhai, E.-T., Yuan, Y.-J., Wu, K.-M., Xu, J.-B., Peng, J.-J., Chen, C.-Q., He, Y.-L., & Cai, S.-R.
- Venue
- World Journal of Gastroenterology
- Publisher
- Baishideng Publishing Group Inc.
- Published
- 2017
- Volume
- 23
- Issue
- 34
- Pages
- 6261
- ISSN
- 1007-9327 (ISSN-L)
- OpenAlex
- W2754430781
- Cited by
- 723
- References
- 2
- FWCI
- 6.89
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Systemic immune-inflammation index for predicting prognosis of colorectal cancer. https://app.cochat.ai/papers/10.3748/wjg.v23.i34.6261
- The paper
- Chen, J.-H., Zhai, E.-T., Yuan, Y.-J., Wu, K.-M., Xu, J.-B., Peng, J.-J., Chen, C.-Q., He, Y.-L., & Cai, S.-R. (2017). Systemic immune-inflammation index for predicting prognosis of colorectal cancer. World Journal of Gastroenterology. https://doi.org/10.3748/wjg.v23.i34.6261
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.