Evidence map›Paper›PMID 40791238›Full record

ArticleFrontiers in nutrition2025

Nutritional and immune-inflammatory scoring system for predicting outcomes in newly diagnosed diffuse large B-cell lymphoma patients.

Yu Peng, Tingting Jiang, Shuang Chen, Xinyi Tang, Yakun Zhang, Liangmei Li, Lian Li, Longrong Ran, Xuelian Wu, Jun Li and 4 more

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. 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

14 authors.

Yu Peng *Chongqing Key Laboratory for the Mechanism and Intervention of Cancer Metastasis, Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Tingting Jiang *Chongqing Key Laboratory for the Mechanism and Intervention of Cancer Metastasis, Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Shuang ChenChongqing Key Laboratory for the Mechanism and Intervention of Cancer Metastasis, Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Xinyi TangChongqing Key Laboratory for the Mechanism and Intervention of Cancer Metastasis, Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Yakun ZhangChongqing Key Laboratory for the Mechanism and Intervention of Cancer Metastasis, Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Liangmei LiChongqing Key Laboratory for the Mechanism and Intervention of Cancer Metastasis, Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Lian LiChongqing Key Laboratory for the Mechanism and Intervention of Cancer Metastasis, Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Longrong RanChongqing Key Laboratory for the Mechanism and Intervention of Cancer Metastasis, Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Xuelian WuChongqing Key Laboratory for the Mechanism and Intervention of Cancer Metastasis, Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Jun LiChongqing Key Laboratory for the Mechanism and Intervention of Cancer Metastasis, Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Wei ZhangChongqing Key Laboratory for the Mechanism and Intervention of Cancer Metastasis, Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Nanjun LiChongqing Key Laboratory for the Mechanism and Intervention of Cancer Metastasis, Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Zailin YangChongqing Key Laboratory for the Mechanism and Intervention of Cancer Metastasis, Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Yao LiuChongqing Key Laboratory for the Mechanism and Intervention of Cancer Metastasis, Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diffuse large B-cell lymphoma (DLBCL) is the most common aggressive non-Hodgkin lymphoma and often carries a poor prognosis. Current prognostic systems such as the International Prognostic Index (IPI) and National Comprehensive Cancer Network (NCCN)-IPI do not incorporate patients' nutritional, immune, or inflammatory status, which may affect outcomes. Methods: We retrospectively analyzed 423 newly diagnosed DLBCL patients and collected 12 clinical indicators reflecting nutritional, immune, and inflammatory status. Patients were randomly divided into training and validation sets in a 7:3 ratio. A LASSO-Cox regression model was applied to identify variables for constructing the Nutritional and Immune-Inflammatory Scoring System (NII). The independent prognostic value of NII was evaluated using univariable and multivariable Cox regression analyses. Its added prognostic value was further assessed in combination with the IPI and NCCN-IPI. Results: We developed the NII, including Nutritional Risk Screening 2002 (NRS2002), Geriatric Nutritional Risk Index (GNRI), systemic immune-inflammation index (SII), lactic dehydrogenase to albumin ratio (LAR), Conclusion: The NII score, integrating readily available nutritional, immune, and inflammatory markers, enhances prognostic accuracy in DLBCL and complements conventional scoring systems. This simple tool may aid in early identification of high-risk patients and guide personalized treatment.

Indexed as

DLBCLimmuneinflammatorynutritionalscore system

Identifiers

PMID40791238
PMCPMC12336136

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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.