Evidence map›Paper›PMID 35538304›Full record

ArticleInternational journal of hematology2022

Presence of bone marrow fibrosis in multiple myeloma may predict extramedullary disease.

Megumi Koshiishi, Ichiro Kawashima, Hideto Hyuga, Ayato Nakadate, Minori Matsuura, Eriko Hosokawa, Yuma Sakamoto, Jun Suzuki, Megumi Suzuki, Takuma Kumagai and 4 more

Abstract read
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In one paragraph

Article in International journal of hematology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Matrix stiffness-dependent regulation of immunomodulatory genes in human MSCs is associated with the lncRNA CYTOR.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  2. Article
  3. Article
  4. Article
  5. Experience of Daratumumab in Relapsed/Refractory Multiple Myeloma: A Multicenter Study from TürkiyeTurkish journal of haematology : official journal of Turkish Society of Haematology · 2023
    Article
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 at 1 institution in 1 country.

Megumi KoshiishiDepartment of Hematology/Oncology, University of Yamanashi, 1110, Shimokato, Chuo City, Yamanashi-ken, 409-3898, Japan.
Ichiro KawashimaDepartment of Hematology/Oncology, University of Yamanashi, 1110, Shimokato, Chuo City, Yamanashi-ken, 409-3898, Japan.
Hideto HyugaDepartment of Hematology/Oncology, University of Yamanashi, 1110, Shimokato, Chuo City, Yamanashi-ken, 409-3898, Japan.
Ayato NakadateDepartment of Hematology/Oncology, University of Yamanashi, 1110, Shimokato, Chuo City, Yamanashi-ken, 409-3898, Japan.
Minori MatsuuraDepartment of Hematology/Oncology, University of Yamanashi, 1110, Shimokato, Chuo City, Yamanashi-ken, 409-3898, Japan.
Eriko HosokawaDepartment of Hematology/Oncology, University of Yamanashi, 1110, Shimokato, Chuo City, Yamanashi-ken, 409-3898, Japan.
Yuma SakamotoDepartment of Hematology/Oncology, University of Yamanashi, 1110, Shimokato, Chuo City, Yamanashi-ken, 409-3898, Japan.
Jun SuzukiDepartment of Hematology/Oncology, University of Yamanashi, 1110, Shimokato, Chuo City, Yamanashi-ken, 409-3898, Japan.
Megumi SuzukiDepartment of Hematology/Oncology, University of Yamanashi, 1110, Shimokato, Chuo City, Yamanashi-ken, 409-3898, Japan.
Takuma KumagaiDepartment of Hematology/Oncology, University of Yamanashi, 1110, Shimokato, Chuo City, Yamanashi-ken, 409-3898, Japan.
Takeo YamamotoDepartment of Hematology/Oncology, University of Yamanashi, 1110, Shimokato, Chuo City, Yamanashi-ken, 409-3898, Japan.
Kei NakajimaDepartment of Hematology/Oncology, University of Yamanashi, 1110, Shimokato, Chuo City, Yamanashi-ken, 409-3898, Japan.
Masaru TanakaDepartment of Hematology/Oncology, University of Yamanashi, 1110, Shimokato, Chuo City, Yamanashi-ken, 409-3898, Japan.
Keita KiritoDepartment of Hematology/Oncology, University of Yamanashi, 1110, Shimokato, Chuo City, Yamanashi-ken, 409-3898, Japan. kirito@yamanashi.ac.jp.ORCID http://orcid.org/0000-0001-5682-2132
University of Yamanashi Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We analyzed the incidence of bone marrow fibrosis in 91 newly diagnosed Japanese multiple myeloma (MM) patients and evaluated the impact of fibrosis on clinical characteristics and therapeutic outcomes. Thirty-four (37%) patients had greater than grade 1 bone marrow fibrosis. The presence of bone marrow fibrosis did not affect laboratory data, the percentage of plasma cells in bone marrow or cytogenetic findings. It also had no significant effect on response to initial treatment, engraftment after autologous hematopoietic stem cell transplantation or overall survival. Interestingly, the incidence of extramedullary disease at diagnosis was significantly higher in patients with bone marrow fibrosis (p = 0.006). Analysis of biological characteristics of MM cells revealed that expression of CD49e, an alpha5/beta1 integrin, was downregulated in MM cells derived from patients with bone marrow fibrosis (p = 0.026). When seven of the original 34 patients were re-evaluated for fibrosis grading after treatment, five (71%) showed a reduction in fibrosis. Our present findings suggest that the presence of bone marrow fibrosis may predict development of extramedullary disease in MM.

Indexed as

Hematopoietic Stem Cell TransplantationMultiple MyelomaPrimary MyelofibrosisFibrosisHumansIntegrin alpha5Integrin beta1Integrin alpha5Integrin beta1Extramedullary diseaseMultiple myelomaMyelofibrosis

Identifiers

PMID35538304
OpenAlexW4229459856

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.