Evidence map›Paper›PMID 32603520›Full record

ArticleJournal of cellular and molecular medicine2020

Development and validation of immune inflammation-based index for predicting the clinical outcome in patients with nasopharyngeal carcinoma.

Xiaojiao Zeng, Guohong Liu, Yunbao Pan, Yirong Li

Abstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 5 pooled it
–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

58 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Prognostic Significance of the Pretreatment Neutrophil-to-Lymphocyte Ratio and Tumor-Associated Neutrophils in Head and Neck Squamous Cell Carcinoma: Systematic Review and Meta-Analysis.Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology · 2026
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Article
  8. Machine learning prognostication in nasopharyngeal carcinoma: a european multicentre analysis of survival and risk of second malignancy.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. A New Perspective on NSTE-ACS Patients in the Emergency Department: Cardiac Risk Prediction with New Inflammation Markers.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
  16. A prognostic nomogram for patients with III-IV nasopharyngeal carcinoma based on dynamic changes in the inflammatory and nutrition index.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. 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

4 authors.

Xiaojiao ZengDepartment of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China.
Guohong LiuDepartment of Radiology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China.
Yunbao PanDepartment of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China.ORCID 0000-0002-6311-2945
Yirong LiDepartment of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammation indicators, such as systemic inflammation response index (SIRI), systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR), are associated with poor prognosis in various solid cancers. In this study, we investigated the predictive value of these inflammation indicators in nasopharyngeal carcinoma (NPC). This retrospective study involved 559 patients with NPC and 500 patients with chronic rhinitis, and 255 NPC patients were followed up successfully. Continuous variables and qualitative variables were measured by t test and chi-square test, respectively. The optimal cut-off values of various inflammation indicators were determined by receiver operating characteristic (ROC) curve. Moreover, the diagnostic value for NPC was decided by the area under the curves (AUCs). The Kaplan-Meier methods and the log-rank test were used to analyse overall survival (OS) and disease-free survival (DFS). The independent prognostic risk factors for survival and influencing factors of side effects after treatment were analysed by Cox and logistic regression analysis, respectively. Most haematological indexes of NPC and rhinitis were significantly different between the two groups, and PLR was optimal predictive indicators of diagnosis. In the multivariable Cox regression analysis, PLR, WBC, RDW, M stage and age were independent prognostic risk factors. Many inflammation indicators that affected various side effects were evaluated by logistic regression analysis. In conclusion, the combined inflammation indicators were superior to single haematological indicator in the diagnosis and prognosis of NPC. These inflammation indicators can be used to supply the current evaluation system of the TNM staging system to help predict the prognosis in NPC patients.

Indexed as

AdolescentAdultAgedAged, 80 and overBlood PlateletsChildDisease-Free SurvivalFemaleHumansInflammationKaplan-Meier EstimateLymphocytesMaleMiddle AgedNasopharyngeal CarcinomaNasopharyngeal Neoplasmsinflammation indicatorsnasopharyngeal carcinomaneutrophil-to-lymphocyte ratioplatelet-lymphocyte ratiosystemic immune-inflammation indexsystemic inflammation response index

Identifiers

PMID32603520
PMCPMC7412424

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.