Evidence map›Paper›PMID 36276809›Full record

ArticleFrontiers in nutrition2022

The prognostic nutritional index, an independent predictor of overall survival for newly diagnosed follicular lymphoma in China.

Jingjing Ge, Yaxin Lei, Qing Wen, Yue Zhang, Xiaoshuang Kong, Wenhua Wang, Siyu Qian, Huting Hou, ZeYuan Wang, Shaoxuan Wu and 8 more

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

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

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  8. A health-system-scale, episode-resolved multimodal atlas of cancer cachexia.medRxiv : the preprint server for health sciences · 2025
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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

18 authors.

Jingjing GeDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yaxin LeiDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Qing WenDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yue ZhangDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xiaoshuang KongDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Wenhua WangDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Siyu QianDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Huting HouDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
ZeYuan WangDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Shaoxuan WuDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Meng DongDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Mengjie DingDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xiaolong WuDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xiaoyan FengDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Linan ZhuDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Mingzhi ZhangDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Qingjiang ChenDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xudong ZhangDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The prognostic nutritional index (PNI) is an important prognostic factor for survival outcomes in various hematological malignancies. The current study focused on exploring the predictive value of the PNI in newly diagnosed follicular lymphoma (FL) in China. Materials and methods: The clinical indicators and follow-up data of 176 patients who received chemotherapy or immunotherapy combined with chemotherapy with FL in our hospital from January 2016 to March 2022 were retrospectively analyzed. Cox proportional hazard model was used for univariate and multivariate analyses. Kaplan-Meier curves were used to calculate survival rates and draw survival curves. The log-rank test was applied to compare differences between groups. Results: The optimal cut-off value of PNI was 44.3. All patients were divided into a high PNI group (>44.3) and a low PNI group (≤44.3). The low PNI group had a low CR rate and a high risk of death, with a tendency toward POD24, and Both OS and PFS were worse than those in the high PNI group. PNI was able to predict OS and PFS in FL patients and was the only independent predictor of OS ( Conclusion: PNI is a significant prognostic indicator for newly diagnosed FL in China that can early identify patients with poor prognosis and guide clinical treatment decisions.

Indexed as

albuminfollicular lymphomalymphocyteprognosisprognostic nutritional index

Identifiers

PMID36276809
PMCPMC9579693

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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.