Evidence map›Paper›PMID 38955826›Full record

ArticleAnnals of hematology2024

R2-ISS staging combined with circulating plasma cells improves risk stratification for newly diagnosed multiple myeloma: a single-center real-world study.

Bin Chu, Yu-Tong Wang, Shan Gao, Lei Shi, Min-Qiu Lu, Li-Juan Fang, Qiu-Qing Xiang, Yuan Chen, Meng-Zhen Wang, Li-Fang Wang and 4 more

Abstract read
In one paragraph

Article in Annals of hematology, 2024. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Defining High-Risk Disease Biology in Multiple Myeloma: A Narrative Review.Blood and lymphatic cancer : targets and therapy · 2026
    Review
  3. Article
  4. Review
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.

Bin Chu *Department of Hematology, Beijing Jishuitan Hospital, Capital Medical University, No. 31 East Xinjiekou Street, Xicheng District, Beijing, 100035, China.
Yu-Tong Wang *Houston Methodist Cancer Center, Houston Methodist Research Institute, Houston Methodist Hospital, Houston, TX, 77030, USA.
Shan GaoDepartment of Hematology, Beijing Jishuitan Hospital, Capital Medical University, No. 31 East Xinjiekou Street, Xicheng District, Beijing, 100035, China.
Lei ShiDepartment of Hematology, Beijing Jishuitan Hospital, Capital Medical University, No. 31 East Xinjiekou Street, Xicheng District, Beijing, 100035, China.
Min-Qiu LuDepartment of Hematology, Beijing Jishuitan Hospital, Capital Medical University, No. 31 East Xinjiekou Street, Xicheng District, Beijing, 100035, China.
Li-Juan FangDepartment of Hematology, Beijing Jishuitan Hospital, Capital Medical University, No. 31 East Xinjiekou Street, Xicheng District, Beijing, 100035, China.
Qiu-Qing XiangDepartment of Hematology, Beijing Jishuitan Hospital, Capital Medical University, No. 31 East Xinjiekou Street, Xicheng District, Beijing, 100035, China.
Yuan ChenDepartment of Hematology, Beijing Jishuitan Hospital, Capital Medical University, No. 31 East Xinjiekou Street, Xicheng District, Beijing, 100035, China.
Meng-Zhen WangDepartment of Hematology, Beijing Jishuitan Hospital, Capital Medical University, No. 31 East Xinjiekou Street, Xicheng District, Beijing, 100035, China.
Li-Fang WangClinical Epidemiology Research Center, Beijing Jishuitan Hospital, Capital Medical University, Beijing, 100035, China.
Kai SunDepartment of Hematology, Beijing Jishuitan Hospital, Capital Medical University, No. 31 East Xinjiekou Street, Xicheng District, Beijing, 100035, China.
Jing YangHouston Methodist Cancer Center, Houston Methodist Research Institute, Houston Methodist Hospital, Houston, TX, 77030, USA.
Fangfang DuanClinical Epidemiology Research Center, Beijing Jishuitan Hospital, Capital Medical University, Beijing, 100035, China.
Li BaoDepartment of Hematology, Beijing Jishuitan Hospital, Capital Medical University, No. 31 East Xinjiekou Street, Xicheng District, Beijing, 100035, China. baolilq909@sina.com.

Funding

Beijing Municipal Natural Science Foundation 7242075Yangfan plan of Beijing Hospitals Authority YGLX202315
6 · The paper itself

Abstract

We aimed to evaluate if circulating plasma cells (CPC) detected by flow cytometry could add prognostic value of R2-ISS staging. We collected the electronic medical records of 336 newly diagnosed MM patients (NDMM) in our hospital from January 2017 to June 2023. The median overall survival (OS) for patients and R2-ISS stage I-IV were not reached (NR), NR, 58 months and 53 months, respectively. There was no significant difference in OS between patients with stage I and patients with stage II (P = 0.309) or between patients with stage III and patients with stage IV (P = 0.391). All the cases were re-classified according to R2-ISS stage and CPC numbers ≥ 0.05% (CPC high) or<0.05% (CPC low) into four new risk groups: Group 1: R2-ISS stage I + R2-ISS stage II and CPC low, Group 2: R2-ISS stage II and CPC high + R2-ISS stage III and CPC low, Group 3: R2-ISS stage III and CPC high + R2-ISS stage IV and CPC low, Group 4: R2-ISS stage IV and CPC high. The median OS were NR, NR, 57 months and 32 months. OS of Group 1 was significantly longer than that of Group 2 (P = 0.033). OS in Group 2 was significantly longer than that of Group 3 (P = 0.007). OS in Group 3 was significantly longer than that of Group 4 (P = 0.041). R2-ISS staging combined with CPC can improve risk stratification for NDMM patients.

Indexed as

Multiple MyelomaNeoplasm StagingPlasma CellsAdultAgedAged, 80 and overFemaleFlow CytometryHumansMaleMiddle AgedNeoplastic Cells, CirculatingPrognosisRetrospective StudiesRisk AssessmentSurvival RateCirculating plasma cellMultiple myelomaOverall survivalPrognosisR2-ISS stage

Identifiers

PMID38955826
PMCPMC11358218

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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.