Evidence map›Paper›PMID 39376643›Full record

ArticleRespiratory medicine case reports2024

Intravascular large B-cell lymphoma with respiratory failure diagnosed by random skin biopsy: A case report.

Haruka Fujioka, Kei Nakashima, Yuka Uesugi, Miki Nyui, Naoki Inoshima, Jun Hayashi, Michinori Yoshimi, Miho Katsumata, Masahiro Masuzawa, Hayato Usami and 3 more

Abstract readCase Reports
In one paragraph

Article in Respiratory medicine case reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Haruka FujiokaDepartment of Pulmonology, Kameda Medical Center, Chiba, Japan.
Kei NakashimaDepartment of Pulmonology, Kameda Medical Center, Chiba, Japan.
Yuka UesugiDepartment of Hematology and Oncology, Kameda Medical Center, Chiba, Japan.
Miki NyuiDepartment of Pathology, Kameda Medical Center, Chiba, Japan.
Naoki InoshimaDepartment of Pulmonology, Kameda Medical Center, Chiba, Japan.
Jun HayashiDepartment of Pulmonology, Kameda Medical Center, Chiba, Japan.
Michinori YoshimiDepartment of Pulmonology, Kameda Medical Center, Chiba, Japan.
Miho KatsumataDepartment of Diabetes and Endocrinology, Kameda Medical Center, Chiba, Japan.
Masahiro MasuzawaDepartment of Diabetes and Endocrinology, Kameda Medical Center, Chiba, Japan.
Hayato UsamiDepartment of General Medicine, Kameda Medical Center, Chiba, Japan.
Akane ItoDepartment of General Medicine, Kameda Medical Center, Chiba, Japan.
Rikako TabataDepartment of Hematology and Oncology, Kameda Medical Center, Chiba, Japan.
Kosei MatsueDepartment of Hematology and Oncology, Kameda Medical Center, Chiba, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intravascular large B-cell lymphoma (IVLBCL) typically involves nonspecific symptoms that complicate diagnosis. This report discusses the case of a 70-year-old man, who presented with dyspnea, fatigue, and weight loss that evolved into severe respiratory failure, diagnosed with IVLBCL via random skin biopsy. The initial improvement in respiratory symptoms was followed by coronavirus disease. Response to steroid therapy and elevated lactate dehydrogenase levels suggested IVLBCL, confirmed by a random skin biopsy. The combination chemotherapy of rituximab, cyclophosphamide, vincristine, doxorubicin, and prednisolone improved the respiratory condition. This case highlights the diagnostic challenges associated with IVLBCL and the crucial role of random skin biopsy.

Indexed as

Intravascular large B-Cell lymphomaRandom skin biopsyRespiratory failure

Identifiers

PMID39376643
PMCPMC11456914

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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.