Evidence map›Paper›PMID 33332932›Full record

ArticleCancer research and treatment2021

Prognostic Stratification of Patients with Burkitt Lymphoma Using Serum β2-microglobulin Levels.

Hyung-Don Kim, Hyungwoo Cho, Shin Kim, Kyoungmin Lee, Eun Hee Kang, Jung Sun Park, Chan-Sik Park, Jooryung Huh, Jin Sook Ryu, Sang-Wook Lee and 5 more

Open access · diamondAbstract read
In one paragraph

Article in Cancer research and treatment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Multi-Modal Deep Learning-Based Model to Predict Burkitt Lymphoma Recurrence.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Prognostic Value ofKorean journal of radiology · 2024
    Article
  9. Article
  10. Article
  11. 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

15 authors at 4 institutions in 1 country.

Hyung-Don KimDepartment of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Hyungwoo ChoDepartment of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Shin KimDepartment of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Kyoungmin LeeDepartment of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Eun Hee KangDepartment of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Jung Sun ParkDepartment of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Chan-Sik ParkDepartment of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Jooryung HuhDepartment of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Jin Sook RyuDepartment of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Sang-Wook LeeDepartment of Radiation Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Dok-Hyun YoonDepartment of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Seok Jin KimDivision of Hematology Oncology, Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Young Hyeh KoDepartment of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Won Seog KimDivision of Hematology Oncology, Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Cheolwon SuhDepartment of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Asan Medical Center · KRUlsan College · KRSungkyunkwan University · KRUniversity of Ulsan · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe aimed to investigate the prognostic value of serum β2-microglobulin for patients with Burkitt lymphoma (BL) and to propose a risk-stratifying classification system. MATERIALS AND

methodsA prospective registry-based cohort study of BL patients treated with dose-intensive or effective dose-adjusted chemotherapies (n=81) was conducted. Survival outcomes were compared based on previously reported risk groups and/or serum β2-microglobulin levels. A risk-stratifying classification system incorporating serum β2-microglobulin levels was proposed and validated in an independent validation cohort (n=60).

resultsThe median age was 47 years, and 57 patients (70.4%) were male. Patients with high serum β2-microglobulin levels (> 2 mg/L) had significantly worse progression-free survival (PFS) and overall survival (OS) (p < 0.01 for both). Serum β2-microglobulin levels further stratified patients in the low-risk and high-risk groups in terms of PFS (p=0.010 and p=0.044, respectively) and OS (p=0.014 and p=0.026, respectively). Multivariate analyses revealed that a high serum β2-microglobulin level (> 2 mg/L) was independently associated with a shorter PFS (hazards ratio [HR], 3.56; p=0.047) and OS (HR, 4.66; p=0.043). The new classification system incorporating the serum β2-microglobulin level allowed the stratification of patients into three distinct risk subgroups with 5-year OS rates of 100%, 89.5%, and 62.5%. In an independent cohort of BL, the system was validated by stratifying patients with different survival outcomes.

conclusionSerum β2-microglobulin level is an independent prognostic factor for BL patients. The proposed β2-microglobulin-based classification system could stratify patients with distinct survival outcomes, which may help define appropriate treatment approaches for individual patients.

Indexed as

AdolescentAdultAgedAged, 80 and overAntineoplastic Combined Chemotherapy Protocolsbeta 2-MicroglobulinBiomarkers, TumorBurkitt LymphomaFemaleHumansKaplan-Meier EstimateMaleMiddle AgedPredictive Value of TestsPrognosisProgression-Free SurvivalB2M protein, humanbeta 2-MicroglobulinBiomarkers, TumorBurkitt lymphomaPrognosisRisk stratificationβ2-microglobulin

Identifiers

PMID33332932
PMCPMC8291169
OpenAlexW3111165844

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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 OpenQuestion graph.