Evidence map›Paper›PMID 36790924›Full record

ArticleBlood advances2023

Real-world experience of combined treatment with azacitidine and romidepsin in patients with peripheral T-cell lymphoma.

Matko Kalac, Salvia Jain, Constantine S Tam, Zhengrui Xiao, Francesca Montanari, Jennifer Kanakry, Bryan D Huber, Mendel Goldfinger, Owen A O'Connor, Enrica Marchi

Abstract read
In one paragraph

Article in Blood advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
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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.

Matko KalacDepartment of Hematology and Oncology, Icahn School of Medicine at Mount Sinai, New York, NY.ORCID 0000-0003-1238-0760
Salvia JainDepartment of Medicine, Massachusetts General Hospital, Boston, MA.ORCID 0000-0003-1566-9308
Constantine S TamAlfred Hospital and Central Clinical School, Monash University, Melbourne, VIC, Australia.ORCID 0000-0002-9759-5017
Zhengrui XiaoDepartment of Medicine, Albert Einstein College of Medicine, New York, NY.ORCID 0000-0001-5586-9668
Francesca MontanariDepartment of Hematology, Yale University Cancer Center, Greenwich, CT.
Jennifer KanakryExperimental Transplantation & Immunotherapy Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD.ORCID 0000-0001-9522-3618
Bryan D HuberBlood and Marrow Transplant/Acute Leukemia Program, Intermountain Medical Group, Salt Lake City, UT.
Mendel GoldfingerDepartment of Medicine, Albert Einstein College of Medicine, New York, NY.
Owen A O'ConnorDivision of Hematology and Oncology, University of Virginia Cancer Center, Charlottesville, VA.
Enrica MarchiDivision of Hematology and Oncology, University of Virginia Cancer Center, Charlottesville, VA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Reduced toxicity allogeneic hematopoietic cell transplantation in malignanciesZIABC012065 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI KANAKRY, JENNIFER · 2022 to 2025
$3.0M
Dissecting mechanisms of resistance underlying CD47-SIRPα inhibition in T-cell lymphomasK08CA230498 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI JAIN, SALVIA · 2020 to 2024
$1.3M
NCATS NIH HHS UL1 TR001863NCI NIH HHS K08 CA230498
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

DepsipeptidesLymphoma, T-Cell, PeripheralAzacitidineHumansTreatment OutcomeAzacitidineDepsipeptidesromidepsin

Identifiers

PMID36790924
PMCPMC10368677

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.