Evidence map›Paper›PMID 39553218›Full record

ArticleAmerican journal of cancer research2024

Preoperative prognostic nutritional index and systemic immune inflammation index for predicting the efficacy and survival time of patients with osteosarcoma undergoing neoadjuvant chemotherapy combined with surgery.

Jin Jiang, Tingxiao Zhao, Longtao Yao, Tao Zhang, Lichen Ji, Wei Zhang, Yanlei Li, Jinlong Tian, Xiaoyan Ding, Yongqin Lin and 1 more

Abstract read
In one paragraph

Article in American journal of cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline 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

11 authors.

Jin JiangDepartment of Operation Room, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College) Hangzhou 310000, Zhejiang, China.
Tingxiao ZhaoDepartment of Laboratory Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College) Hangzhou 310000, Zhejiang, China.
Longtao YaoCancer Center, Department of Orthopedics, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College) Hangzhou 310000, Zhejiang, China.
Tao ZhangDepartment of Internal Medicine, Guangzhou Health Science College Guangzhou 510000, Guangdong, China.
Lichen JiDepartment of Laboratory Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College) Hangzhou 310000, Zhejiang, China.
Wei ZhangDepartment of Laboratory Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College) Hangzhou 310000, Zhejiang, China.
Yanlei LiDepartment of Laboratory Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College) Hangzhou 310000, Zhejiang, China.
Jinlong TianDepartment of Laboratory Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College) Hangzhou 310000, Zhejiang, China.
Xiaoyan DingDepartment of Operation Room, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College) Hangzhou 310000, Zhejiang, China.
Yongqin LinDepartment of Head and Neck Surgery, Sun Yat-sen University Cancer Center Guangzhou 510060, Guangdong, China.
Liang HanCenter for Rehabilitation Medicine, Department of Anesthesiology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College) Hangzhou 310000, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the value of preoperative prognostic nutritional index (PNI) and systemic immune inflammation index (SII) for predicting the efficacy and prognosis of patients with osteosarcoma undergoing neoadjuvant chemotherapy (NACT) combined with surgery.

methodsA retrospective study was conducted on patients with osteosarcoma undergoing NACT combined with surgery in Sun Yat-sen University Cancer Center from January 2017 to May 2019. The patients were grouped into a remission group (pCR group, 85 patients) and a non-remission group (non-pCR, 79 patients), according to the treatment efficacy. The pathological data as well as clinical data were collected from patients, which were subsequently employed for statistical analysis to determine the factors affecting the efficacy of the treatment. The diagnostic value of PNI and SII for predicting the efficacy were assessed through following up the patients for 5 years to observe their overall survival rate. COX regression analysis was leveraged to identify risk factors affecting the survival time. The impact of different PNI and SII levels on the survival time was observed.

resultsMultivariate regression analysis showed that factors including Enneking stage, PNI level and SII level were in association with poor efficacy after NATC combined with surgery. The mortality within 5 years was higher and the 5-year overall survival rate was lower in the non-pCR group than those in the pCR group (both P < 0.05). The COX regression analysis indicated that PNI and SII levels were risk factors for poor prognosis in patients with osteosarcoma following NACT combined with surgery. Further analysis showed that patients with low PNI and high SII levels had a lower 5-year survival rate (P < 0.05).

conclusionEnneking stage, PNI, and SII levels were risk factors for poor efficacy in patients with osteosarcoma after NACT combined with surgery. Patients whose PNI level was low and SII level was high presented poor prognosis following the treatment.

Indexed as

correlationefficacyOsteosarcomaprognosisprognostic nutritional indexsystemic immune inflammation index

Identifiers

PMID39553218
PMCPMC11560818

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