Evidence map›Paper›PMID 37081761›Full record

Observational studyCancer medicine2023

A promising prognostic model for predicting survival of patients with HIV-related diffuse large B-cell lymphoma in the cART era.

Juanjuan Chen, Yihua Wu, Zixin Kang, Shanfang Qin, Guangjing Ruan, Han Zhao, Xin Tao, Zhiman Xie, Jie Peng

Open access · goldAbstract readObservational StudyMulticenter Study
In one paragraph

Observational study in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 15% of its field
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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Observational
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

9 authors at 3 institutions in 1 country.

Juanjuan ChenDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.ORCID 0000-0002-6960-3577
Yihua WuDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Zixin KangDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Shanfang QinGuangxi AIDS Diagnosis and Treatment Quality Control Center, Longtan Hospital of Guangxi Zhuang Autonomous Region, Liuzhou, China.
Guangjing RuanGuangxi AIDS Clinical Treatment Center, The Fourth People's Hospital of Nanning, Nanning, China.
Han ZhaoDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Xin TaoDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Zhiman XieGuangxi AIDS Clinical Treatment Center, The Fourth People's Hospital of Nanning, Nanning, China.
Jie PengDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Nanfang Hospital · CNThe Fourth People's Hospital · CNGuangxi Longtan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOptimization of risk stratification is important for facilitating prognoses and therapeutic decisions regarding diffuse large B-cell lymphoma (DLBCL). However, a simple and applicable prognostic tool is lacking for individuals with human immunodeficiency virus (HIV)-related DLBCL in the era of combined antiretroviral therapy (cART).

methodsThis retrospective multicenter observational study included 147 HIV-related DLBCL patients with histologically confirmed DLBCL from 2013 to 2020. The total group was divided into training (n = 78) and validation (n = 69) cohorts to derive the best prognostic score. Clinicopathological and characteristic biomarkers correlated with clinical outcomes were analyzed.

resultsAge, Ann Arbor stage, lactate dehydrogenase (LDH) ratio, bulky disease, and red blood cell distribution width (RDW) ratio retained robust independent correlations with overall survival (OS) in multivariate analysis. A new and practical prognostic model was generated and externally validated, classifying patients into three categories with significantly different survival rates. Moreover, the new index outperformed the International Prognostic Index (IPI) score (area under the curve values of 0.94 vs. 0.81 in the training cohort and 0.85 vs. 0.74 in the validation cohort, C-indices of 0.80 vs. 0.70 in the training cohort and 0.74 vs. 0.70 in the validation cohort, and integrated discrimination improvement values of 0.203 in the training cohort and 0.175 in the validation cohort) and was better at defining intermediate- and high-risk groups. The calibration curves performed satisfactorily for predicting 3-year OS in the training and validation cohorts.

conclusionsWe developed and validated a simple and feasible prognostic model for patients with HIV-related DLBCL that had more discriminative and predictive accuracy than the IPI score for risk stratification and individualized treatment in the cART era.

Indexed as

HIV InfectionsLymphoma, Large B-Cell, DiffuseAntineoplastic Combined Chemotherapy ProtocolsHIVHumansPrognosisRetrospective StudiesRituximabRituximabdiffuse large B-cell lymphomahuman immunodeficiency virusoverall survivalprognostic modelred blood cell distribution width ratio

Identifiers

PMID37081761
PMCPMC10278482
OpenAlexW4366603189

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

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 Socratic graph.