Evidence map›Paper›PMID 38492199›Full record

ArticleInternational journal of hematology2024

Prognostic model for relapsed/refractory transplant-ineligible diffuse large B-cell lymphoma utilizing the lymphocyte-to-monocyte ratio.

Daisuke Ide, Takahiro Fujino, Tsutomu Kobayashi, Aya Egashira, Akihiro Miyashita, Kentaro Mizuhara, Reiko Isa, Taku Tsukamoto, Shinsuke Mizutani, Hitoji Uchiyama and 6 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in International journal of hematology, 2024. 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
1.7field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

16 authors at 3 institutions in 1 country.

Daisuke Ide *Division of Hematology and Oncology, Department of Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Takahiro Fujino *Division of Hematology and Oncology, Department of Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Tsutomu KobayashiDivision of Hematology and Oncology, Department of Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Aya EgashiraDepartment of Hematology, Japanese Red Cross Kyoto Daini Hospital, Kyoto, Japan.
Akihiro MiyashitaDivision of Hematology and Oncology, Department of Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Kentaro MizuharaDivision of Hematology and Oncology, Department of Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Reiko IsaDivision of Hematology and Oncology, Department of Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Taku TsukamotoDivision of Hematology and Oncology, Department of Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Shinsuke MizutaniDivision of Hematology and Oncology, Department of Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Hitoji UchiyamaDivision of Hematology and Oncology, Department of Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Hiroto KanekoDepartment of Hematology, Japanese Red Cross Kyoto Daiichi Hospital, Kyoto, Japan.
Nobuhiko UoshimaDepartment of Hematology, Japanese Red Cross Kyoto Daini Hospital, Kyoto, Japan.
Eri KawataDepartment of Hematology, Japanese Red Cross Kyoto Daiichi Hospital, Kyoto, Japan.
Masafumi TaniwakiDivision of Hematology and Oncology, Department of Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Yuji ShimuraDivision of Hematology and Oncology, Department of Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Junya KurodaDivision of Hematology and Oncology, Department of Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan. junkuro@koto.kpu-m.ac.jp.ORCID http://orcid.org/0000-0001-6130-1550
Kyoto Prefectural University of Medicine · JPJapanese Red Cross Society Kyoto Daini Hospital · JPKyoto first Red Cross hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We conducted a multi-institutional retrospective study in 100 transplant-ineligible (TI) patients with diffuse large B-cell lymphoma (DLBCL) that relapsed or progressed after first-line R-CHOP (or -like) therapy to develop a robust predictive model for TI relapsed/refractory (r/r) DLBCL, which has a heterogeneous but poor prognosis by currently available treatment modalities other than chimeric antigen receptor T-cell (CAR-T) therapy or bispecific antibodies. The median age at relapse or progression was 76 years. The median progression-free survival (PFS) and overall survival (OS) from the first progression were 11.5 months and 21.9 months, respectively. Multivariate analysis identified low lymphocyte-to-monocyte ratio (LMR), elevated high lactate dehydrogenase, and elevated C-reactive protein at progression as independent predictors of OS. A predictive model based on these three factors, here designated as the Kyoto Prognostic Index for r/r DLBCL (KPI-R), successfully stratified their OS and PFS with statistical significance. In addition, event-free survival less than 24 months for R-CHOP and low LMR were identified as significant predictive factors for non-response in any sequence of salvage therapy. We concluded that LMR is a bonafide predictor of treatment response and prognosis in patients with TI r/r DLBCL, and may be helpful in treatment decision-making.

Indexed as

LymphocytesLymphoma, Large B-Cell, DiffuseMonocytesAdultAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsCyclophosphamideDoxorubicinFemaleHumansMaleMiddle AgedPrednisonePrognosisRecurrenceCyclophosphamideDoxorubicinPrednisoneR-CHOP protocolRituximabVincristineDiffuse large B-cell lymphomaLymphocyte-to-monocyte ratioPrognostic modelRefractoryRelapse

Identifiers

PMID38492199
OpenAlexW4392880493

What OpenQuestion holds

Textmetadata
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.