Evidence map›Paper›PMID 40226458›Full record

ArticleAmerican journal of cancer research2025

Prognostic significance of systemic inflammatory response markers NLR, PLR, and MLR in advanced high-risk endometrial cancer following radiotherapy.

Liang Ma, Yumeng Zhang, Yuheng Shao, Li Luo, Jinglan Zhou, Junbo Wu, Yanqing Wang, Chaoqian Zhao

Abstract read
In one paragraph

Article in American journal of cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. 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

8 authors.

Liang MaDepartment of Radiotherapy, Changzhi People Hospital Affiliated to Changzhi Medical College Changzhi 046000, Shanxi, China.
Yumeng ZhangDepartment of Radiation Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University Shanghai 200092, China.
Yuheng ShaoDepartment of Radiation Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University Shanghai 200092, China.
Li LuoDepartment of Oncology, Zhuzhou Hospital Affiliated to Xiangya School of Medicine Central South University Zhuzhou 412000, Hunan, China.
Jinglan ZhouDepartment of Radiation Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University Shanghai 200092, China.
Junbo WuDepartment of Radiotherapy, Changzhi People Hospital Affiliated to Changzhi Medical College Changzhi 046000, Shanxi, China.
Yanqing WangDepartment of Radiotherapy, Changzhi People Hospital Affiliated to Changzhi Medical College Changzhi 046000, Shanxi, China.
Chaoqian ZhaoDepartment of Oncology, Zhuzhou Hospital Affiliated to Xiangya School of Medicine Central South University Zhuzhou 412000, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to evaluate the relationship between systemic inflammatory response markers and the short-term prognosis of patients with endometrial cancer after comprehensive treatment.

methodsThis retrospective study analyzed the baseline data from 156 endometrial cancer patients who received postoperative radiotherapy at the gynecology department of ChangZhi People Hospital Affiliated to ChangZhi Medical College. Optimal cutoff values for preoperative hematological indicators were determined using receiver operating characteristic (ROC) curves. The Kaplan-Meier method was used for univariate analysis to describe survival time and the 5-year overall survival rate of patients, as well as to plot the survival curve for endometrial cancer. Multivariate regression analysis was employed to identify independent risk factors for patient survival prognosis and to establish a multivariate prediction model.

resultsBy the end of the follow-up period, 42 patients (26.9%) were alive, and 114 patients (73.1%) had died. The shortest survival period was 21 months, the longest was 73 months, and the median survival time was 51 months. The 5-year survival rate was 39.3%. The prognostic nomogram model for endometrial cancer included 7 risk factors: age, pathological stage, interval time to postoperative chemotherapy, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-to-lymphocyte ratio (MLR). The Hosmer-Lemeshow test result for this model showed that the area under the ROC curve was 0.995 (95% CI: 0.989-1.000), with an optimal cutoff value of 0.485, a sensitivity of 0.951, and a specificity of 0.71616. The internal validation results of the model showed a C-index of 0.995, indicating a good fit and high predictive value of the model.

conclusionPre-treatment peripheral blood levels of PLR, NLR, and MLR were higher in deceased patients who received postoperative radiotherapy for advanced endometrial cancer compared to survivors. A multivariate prediction model based on preoperative and intraoperative baseline data can effectively predict patient prognosis.

Indexed as

endometrial cancerInflammatory response markersmultivariate prediction modelprognosisradiotherapy

Identifiers

PMID40226458
PMCPMC11982714

What Socratic holds

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Registered trials

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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.