Evidence map›Paper›PMID 39962572›Full record

ArticleJournal of ovarian research2025

The impact of preoperative immunonutritional status on prognosis in ovarian cancer: a multicenter real-world study.

Xingyu Liu, Ming Li, Yingjun Zhao, Xiaofei Jiao, Yang Yu, Ruyuan Li, Shaoqing Zeng, Jianhua Chi, Guanchen Ma, Yabing Huo and 12 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of ovarian research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
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  3. Review
  4. Article
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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

22 authors.

Xingyu Liu *Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ming Li *Department of Gynaecology and Obstetrics, Henan Provincial People's Hospital, Henan, China.
Yingjun ZhaoDepartment of Gynaecology and Obstetrics, Henan Provincial People's Hospital, Henan, China.
Xiaofei JiaoDepartment of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yang YuDepartment of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ruyuan LiNational Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Shaoqing ZengDepartment of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jianhua ChiDepartment of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Guanchen MaDepartment of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yabing HuoDepartment of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Zikun PengDepartment of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jiahao LiuDepartment of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Qi ZhouDepartment of Gynecologic Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Dongling ZouNational Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Li WangDepartment of Cancer Biology Immunotherapy, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, Henan, China.
Qingshui LiDepartment of Gynecologic Oncology, Shandong Cancer Hospital and Institute, Jinan, Shandong, China.
Jing WangHunan Clinical Research Center in Gynecologic Cancer, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Changsha, Hunan, China.
Shuzhong YaoDepartment of Obstetrics and Gynecology, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Youguo ChenDepartment of Gynecology & Obstetrics, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.
Ding MaDepartment of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ting HuDepartment of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. tinghu_tj@163.com.ORCID http://orcid.org/0000-0002-9693-4697
Qinglei GaoDepartment of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. qingleigao@hotmail.com.ORCID http://orcid.org/0000-0002-9448-3423

Funding

Beijing Xisike Clinical Oncology Research Foundation Y-2019AZZD-0359Major Project of Chinese Society of Medical Education 20A0769National Key Research and Development Program of China 2022YFC2704200National Natural Science Foundation of China 81772787
6 · The paper itself

Abstract

backgroundTo investigate the effect of preoperative immunonutritional status on prognosis in epithelial ovarian cancer patients.

methodsA multicenter real-world study included 922 patients with histologically confirmed epithelial ovarian cancer who received comprehensive staged surgery or debulking surgery at seven tertiary hospitals in China between 2012 and 2023. Prognostic nutritional index (PNI) and systemic immune-inflammation index (SII) were used to assess the immunonutritional status for their superior predictive power to indicate the nutritional status and the inflammatory immunity. Cox regression analyses were employed to identify variables associated with progression-free survival (PFS) and overall survival (OS).

resultsIn the early-stage cohort of 224 epithelial ovarian cancer patients, the optimal cut-off value for PNI was 47.47 for both PFS and OS, while the optimal cut-off value for SII values were 551.37 for PFS and 771.78 for OS. In the late-stage group of 698 patients, the optimal PNI thresholds were 47.76 for PFS and 46.00 for OS, with SII values of 720.96 for PFS and 1686.11 for OS. In multivariate analysis of early-stage patients, high PNI was an independent protective factor for PFS (hazard ratio (HR), 0.39 (95% confidence interval (CI) 0.20-0.76), P = 0.006) and OS (HR, 0.44 (95% CI 0.20-0.97), P = 0.042), respectively. High SII was significantly associated with PFS (HR, 2.43 (95% CI 1.23-4.81), P = 0.011) and marginally unfavorable for OS (HR, 2.05 (95% CI 0.96-4.39), P = 0.064). In advanced population, PNI (HR, 0.77 (95% CI 0.60-0.99), P = 0.043) and SII (HR, 1.34 (95% CI 1.01-1.78), P = 0.041) were independent prognostic factors for OS but had no impact on PFS (P = 0.185, P = 0.188, respectively).

conclusionPoor preoperative immunonutritional status has a deleterious effect on the prognosis of patients with ovarian cancer. Intervention in patients suffering from suboptimal preoperative immunonutritional status may facilitate improved survival outcomes.

Indexed as

Carcinoma, Ovarian EpithelialNutritional StatusOvarian NeoplasmsAdultAgedFemaleHumansMiddle AgedNutrition AssessmentPreoperative PeriodPrognosisOvarian cancerOverall survivalPreoperative immunonutritional statusPrognostic nutritional indexProgression-free survivalSystemic immune-inflammation index

Identifiers

PMID39962572
PMCPMC11831797

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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 OpenQuestion graph.