Evidence map›Paper›PMID 40022054›Full record

ArticleBMC cancer2025

Low pretreatment prognostic nutritional index predicts unfavorable survival in stage III-IVA squamous cervical cancer undergoing chemoradiotherapy.

Shuang-Zheng Jia, Xue-Jiao Yang, Duan Yang, Rui Wang, Xi Yang, Man-Ni Huang, Ju-Sheng An

Abstract read
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 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

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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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

7 authors.

Shuang-Zheng Jia *Department of Gynecologic Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P. R. China.
Xue-Jiao Yang *Department of Gynecologic Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P. R. China.
Duan YangDepartment of Gynecologic Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P. R. China.
Rui WangDepartment of Gynecologic Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P. R. China.
Xi YangDepartment of Gynecologic Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P. R. China.
Man-Ni HuangDepartment of Gynecologic Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P. R. China.
Ju-Sheng AnDepartment of Gynecologic Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P. R. China. anmanman_0@126.com.

Funding

Beijing Xisike Clinical Oncology Research Foundation Y-NESTLE2022QN-0007CAMS Innovation Fund for Medical Sciences 2023-I2M-C&T-B-079
6 · The paper itself

Abstract

backgroundTo investigate potential predictive factors and assess the utility of systemic inflammatory and nutritional indexes as prognostic indicators for survival in patients with FIGO stage III-IVA squamous cervical cancer (squamous HR-LACC) treated with concurrent chemoradiotherapy.

methodsWe included consecutive patients with PET-CT diagnosed squamous HR-LACC undergoing curative chemoradiotherapy from November 2016 to April 2024. We systematically reviewed data pertaining to pretreatment clinicopathologic characteristics, hematological parameters, and treatment specifics. A range of composite inflammatory and nutritional indices were calculated, including the neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, systemic immune-inflammation index, systemic inflammation response index, pan-immune-inflammation value, and prognostic nutritional index (PNI). X-Tile software was utilized to establish optimal cut-off values based on progression-free survival (PFS). Both univariate and multivariate Cox regression analyses were conducted to identify factors associated with PFS and overall survival (OS).

resultsAmong 157 patients (median age 55) included, 136 had lymph node involvement, and 45 had para-aortic metastasis. After a median follow-up of 35 months, 47 patients had disease progression, and 22 died, yielding 3-year PFS and OS rates of 66.2% and 82.0%, respectively. Multivariate analysis revealed that low SCC-Ag (HR: 1.518, 95% CI: 1.067-2.159, p = 0.020), para-aortic lymph node involvement (HR: 1.864, 95% CI: 1.020-3.408, p = 0.043), and low PNI (HR: 1.477, 95% CI: 1.105-1.975, p = 0.009) were independently associated with worse PFS, whereas low PNI emerged as the sole independent risk factor for diminished OS (HR = 1.525, 95% CI: 1.002-2.323, p = 0.049).

conclusionsPNI, a readily obtainable metric based on albumin and lymphocyte count, can serve as a predictor of survival in HR-LACC patients undergoing concurrent chemoradiotherapy. Further research is necessary to ascertain whether optimizing pretreatment nutritional status, a modifiable factor, can enhance outcomes in these high-risk patients.

Indexed as

Carcinoma, Squamous CellChemoradiotherapyNutrition AssessmentUterine Cervical NeoplasmsAdultAgedFemaleHumansLymphocytesMiddle AgedNeoplasm StagingNutritional StatusPositron Emission Tomography Computed TomographyPrognosisRetrospective StudiesAdvanced stageBiomarkerCervical cancerChemoradiotherapyPrognostic nutritional index

Identifiers

PMID40022054
PMCPMC11871652

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LicenceCC BY-NC-ND
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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.