Evidence map›Paper›PMID 38771501›Full record

ArticleClinical and experimental medicine2024

Utilizing red blood cell distribution width (RDW) as a reliable biomarker to predict treatment effects after chimeric antigen receptor T cell therapy.

Naokazu Nakamura, Tomoyasu Jo, Yasuyuki Arai, Toshio Kitawaki, Momoko Nishikori, Chisaki Mizumoto, Junya Kanda, Kouhei Yamashita, Miki Nagao, Akifumi Takaori-Kondo

Abstract read
In one paragraph

Article in Clinical and experimental medicine, 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
–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

3 citing papers in PubMed.

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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

10 authors.

Naokazu NakamuraDepartment of Hematology, Kyoto University Hospital, Kyoto, Japan.
Tomoyasu JoDepartment of Hematology, Kyoto University Hospital, Kyoto, Japan.
Yasuyuki AraiDepartment of Hematology, Kyoto University Hospital, Kyoto, Japan. ysykrai@kuhp.kyoto-u.ac.jp.
Toshio KitawakiDepartment of Hematology, Kyoto University Hospital, Kyoto, Japan.
Momoko NishikoriDepartment of Hematology, Kyoto University Hospital, Kyoto, Japan.
Chisaki MizumotoDepartment of Hematology, Kyoto University Hospital, Kyoto, Japan.
Junya KandaDepartment of Hematology, Kyoto University Hospital, Kyoto, Japan.
Kouhei YamashitaDepartment of Hematology, Kyoto University Hospital, Kyoto, Japan.
Miki NagaoDepartment of Clinical Laboratory Medicine, Kyoto University Hospital, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan.
Akifumi Takaori-KondoDepartment of Hematology, Kyoto University Hospital, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chimeric antigen receptor T cell (CAR-T) therapy is an effective treatment for B cell malignancies. A certain fraction of patients, however, experience post-CAR-T relapse, and due to the difficulty of precise relapse prediction, biomarkers that can predict the strength and duration of CAR-T efficacy are needed before CAR-T infusion. Therefore, we performed a single-center cohort study including 91 diffuse large B cell lymphoma (DLBCL) patients treated with CAR-T in order to identify such a new prognostic biomarker. After confirming that each of the already reported prognostic parameters (disease status at leukapheresis, primary refractoriness, number of treatment lines, CD3

Indexed as

Erythrocyte IndicesImmunotherapy, AdoptiveLymphoma, Large B-Cell, DiffuseAdultAgedBiomarkersCohort StudiesFemaleHumansLeukapheresisMaleMiddle AgedPrognosisReceptors, Chimeric AntigenTreatment OutcomeYoung AdultBiomarkersReceptors, Chimeric AntigenBiomarkerChimeric antigen receptor T cell therapyProgression-free survivalRed blood cell distribution width

Identifiers

PMID38771501
PMCPMC11108946

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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.