Evidence map›Paper›PMID 37601874›Full record

ArticleEJHaem2023

The prognostic impact of t(11;14) in multiple myeloma: A real-world analysis from the Australian Lymphoma Leukaemia Group (ALLG) and the Australian Myeloma and Related Diseases Registry (MRDR).

Kenneth Jc Lim, Cameron Wellard, Dipti Talaulikar, Joanne Lc Tan, Joanna Loh, Pratheepan Puvanakumar, James A Kuzich, Michelle Ho, Matthew Murphy, Nicole Zeglinas and 8 more

Abstract read
In one paragraph

Article in EJHaem, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

18 authors.

Kenneth Jc LimDepartment of Haematology St Vincent's Hospital Melbourne Melbourne Australia.ORCID https://orcid.org/0000-0002-2664-116X
Cameron WellardSchool of Public Health and Preventive Medicine Monash University Melbourne Australia.
Dipti TalaulikarDepartment of Haematology The Canberra Hospital Canberra Australia.ORCID https://orcid.org/0000-0001-6766-8345
Joanne Lc TanDepartment of Haematology The Alfred Hospital Melbourne Australia.
Joanna LohDepartment of Haematology Monash Health Melbourne Australia.
Pratheepan PuvanakumarClinical Haematology Peter MacCallum Cancer Centre and Royal Melbourne Hospital Melbourne Australia.
James A KuzichDepartment of Haematology Austin Health and Olivia Newton John Cancer Research Institute Melbourne Australia.ORCID https://orcid.org/0000-0002-3657-8010
Michelle HoDepartment of Haematology The Canberra Hospital Canberra Australia.
Matthew MurphyDepartment of Haematology Eastern Health Melbourne Australia.
Nicole ZeglinasDepartment of Haematology St Vincent's Hospital Melbourne Melbourne Australia.
Michael Sy LowDepartment of Haematology Monash Health Melbourne Australia.
David RoutledgeClinical Haematology Peter MacCallum Cancer Centre and Royal Melbourne Hospital Melbourne Australia.
Andrew Bm LimDepartment of Haematology Austin Health and Olivia Newton John Cancer Research Institute Melbourne Australia.
Simon D GibbsDepartment of Haematology Eastern Health Melbourne Australia.
Hang QuachDepartment of Haematology St Vincent's Hospital Melbourne Melbourne Australia.
Sue MorganDepartment of Haematology The Alfred Hospital Melbourne Australia.
Elizabeth MooreSchool of Public Health and Preventive Medicine Monash University Melbourne Australia.ORCID https://orcid.org/0000-0002-3881-6000
Slavisa NinkovicDepartment of Haematology St Vincent's Hospital Melbourne Melbourne Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prognostic impact of t(11;14) in multiple myeloma (MM) needs to be better understood to inform future treatment decisions. The Australian Lymphoma Leukaemia Group embarked on a retrospective, observational cohort study using real-world data to interrogate treatment patterns and outcomes in 74 MM patients with t(11;14) [t(11;14)-MM] diagnosed over 10 years. This was compared to 159 and 111 MM patients with high-risk IgH translocations (IgH HR-MM) and hyperdiploidy (Hyperdiploid-MM), respectively, from the Australian Myeloma and Related Diseases Registry. No appreciable differences in age, gender, ISS, LDH levels, 1q21 or del(17p) status, or treatment patterns were observed between groups. Median PFS-1 was not different between groups but both t(11;14)-MM and IgH HR-MM had an inferior PFS-2 vs. Hyperdiploid-MM: median PFS-2 8.2 months, 10.0 months, and 19.8 months (

Indexed as

BCL2multiple myelomat(11;14)venetoclax

Identifiers

PMID37601874
PMCPMC10435683

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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.