Evidence map›Paper›PMID 39732889›Full record

ArticleScientific reports2024

Systemic immune-inflammatory index predict short-term outcome in recurrent/metastatic and locally advanced cervical cancer patients treated with PD-1 inhibitor.

Qingqing Chen, Baoqian Zhai, Jingjing Li, Hui Wang, Zhengcao Liu, Runjun Shi, Haohao Wu, Yingying Xu, Shengjun Ji

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
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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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3 · Its place in the literature

Who cites it

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

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Qingqing Chen *Department of Radiotherapy & Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, 215001, JiangSu Province, China.
Baoqian Zhai *Department of Radiotherapy Oncology, Yancheng City No.1 People's Hospital, The Fourth Affiliated Hospital of Nantong University, Yancheng, 224000, JiangSu Province, China.
Jingjing Li *Department of Radiotherapy & Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, 215001, JiangSu Province, China.
Hui WangDepartment of Radiotherapy Oncology, Yancheng City No.1 People's Hospital, The Fourth Affiliated Hospital of Nantong University, Yancheng, 224000, JiangSu Province, China.
Zhengcao LiuDepartment of Radiotherapy & Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, 215001, JiangSu Province, China.
Runjun ShiDepartment of Radiotherapy & Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, 215001, JiangSu Province, China.
Haohao WuDepartment of Radiotherapy Oncology, Yancheng City No.1 People's Hospital, The Fourth Affiliated Hospital of Nantong University, Yancheng, 224000, JiangSu Province, China. haohaowu01@126.com.
Yingying XuDepartment of Radiotherapy and Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, 215001, JiangSu Province, China. 18913134622@163.com.
Shengjun JiDepartment of Radiotherapy & Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, 215001, JiangSu Province, China. drshengjunji@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to assess the predictive value of certain markers of inflammation in patients with locally advanced or recurrent/metastatic cervical cancer who are undergoing treatment with anti-programmed death 1 (PD-1) therapy. A total of 105 patients with cervical cancer, who received treatment involving immunocheckpoint inhibitors (ICIs), were included in this retrospective study. We collected information on various peripheral blood indices, including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic immune-inflammation index (SII), and prognostic nutritional index (PNI). To determine the appropriate cutoff values for these inflammatory markers, we performed receiver operating characteristic curve (ROC) analysis. Progression-free survival (PFS) was estimated using the Kaplan-Meier method, and we conducted both univariate and multivariate Cox regression analyses to evaluate the prognostic value of these markers. Out of the 105 patients who received ICI treatment, the median progression-free survival (mPFS) was 19.0 months. We obtained the patients' clinical characteristics, such as age, pathological type, therapy regimen, Figo stage, NLR, PLR, LMR, SII, and PNI from their medical records. The optimal cutoff values for NLR, PLR, LMR, SII, and PNI were determined as 3.76, 218.1, 3.34, 1147.7, 43.75, respectively. In the univariate analysis, age, pathological type, therapy regimen, Figo stage, and LMR were not found to be associated with PFS. However, high NLR(P=0.001), high PLR(P<0.001), high SII(P<0.001), and low PNI (P=0.003)were all associated with shorter PFS. Multivariate analysis indicated that SII (P=0.017) was an independent risk factor for PFS. This study highlights the potential use of SII as a predictor of progression-free survival in cervical cancer patients undergoing immunotherapy.

Indexed as

Immune Checkpoint InhibitorsNeoplasm Recurrence, LocalUterine Cervical NeoplasmsAdultAgedFemaleHumansInflammationLymphocytesMiddle AgedMonocytesNeoplasm MetastasisNeutrophilsPrognosisProgrammed Cell Death 1 ReceptorProgression-Free SurvivalImmune Checkpoint InhibitorsProgrammed Cell Death 1 ReceptorCervical cancerImmunotherapyInflammatory markersPrognosis

Identifiers

PMID39732889
PMCPMC11682050

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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.