Evidence map›Paper›PMID 33342724›Full record

ReviewJournal of geriatric oncology2021

Transplant-ineligible newly diagnosed multiple myeloma: Current and future approaches to clinical care: A Young International Society of Geriatric Oncology Review Paper.

Shakira J Grant, Hira S Mian, Smith Giri, Melina Boutin, Lorenzo Dottorini, Nina R Neuendorff, Jessica L Krok-Schoen, Nikita Nikita, Ashley E Rosko, Tanya M Wildes and 1 more

Abstract readReview
In one paragraph

Review in Journal of geriatric oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Treatment of older adult or frail patients with multiple myeloma.Hematology. American Society of Hematology. Education Program · 2021
    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

11 authors.

Shakira J GrantDivision of Hematology-Oncology, University of Washington-Fred Hutchinson Cancer Research Center, Seattle, WA, USA. Electronic address: grantsj@uw.edu.
Hira S MianDepartment of Oncology, McMaster University, Ontario, Canada.
Smith GiriDivision of Hematology-Oncology, University of Alabama at Birmingham, Birmingham, AL, USA.
Melina BoutinDepartment of Hemato-Oncology, Université of Sherbrooke, Québec, Canada.
Lorenzo DottoriniOncology Unit, Medical Sciences Department, ASST Bergamo Est, Alzano Lombardo, Bergamo, Italy.
Nina R NeuendorffDepartment of Hematology, Oncology and Rheumatology, Heidelberg University Hospital, Heidelberg, Germany.
Jessica L Krok-SchoenSchool of Health and Rehabilitation Sciences, College of Medicine, The Ohio State University, Columbus, OH, USA.
Nikita NikitaDepartment of Medical Oncology, Sidney Kimmel Cancer Center at Jefferson, Sidney Kimmel Medical College, Philadelphia, PA, USA.
Ashley E RoskoDepartment of Internal Medicine, Division of Hematology, The Ohio State University, Columbus, OH, USA.
Tanya M WildesDivision of Oncology, Department of Medicine, Washington University School of Medicine, St Louis, MO, USA.
Sonja ZweegmanDepartment of Hematology, Amsterdam UMC, VU University Amsterdam, Cancer Center Amsterdam, Amsterdam, Netherlands.

Funding

RESEARCH TRAINING IN HEMATOLOGYT32HL007093 · NHLBI · UNIVERSITY OF WASHINGTON · PI Janis L Abkowitz · 1985 to 2026
$13.9M
Exercise and Biologic Fitness in Patients with Hematologic MalignancyK23CA208010 · NCI · OHIO STATE UNIVERSITY · PI ROSKO, ASHLEY E. · 2016 to 2020
$859k
NCI NIH HHS K23 CA208010NHLBI NIH HHS T32 HL007093
6 · The paper itself

Abstract

Multiple myeloma is the second most common hematological malignancy in the USA and Europe. Despite improvements in the 5-year and overall survival rates over the past decade, older adults (aged ≥65 years) with multiple myeloma continue to experience disproportionately worse outcomes than their younger counterparts. These differences in outcomes arise from the increased prevalence of vulnerabilities such as medical comorbidities and frailty seen with advancing age that can influence treatment-delivery and tolerance and impact survival. In general, geriatric assessments can help identify those patients more likely to benefit from enhanced toxicity risk-prediction and aid treatment decision-making. Despite the observed benefits of geriatric assessments and other screening frailty tools, provider and systems-level barriers continue to influence the overall perception of the feasibility of geriatric assessments in clinical practice settings. Clinical trials are underway evaluating the efficacy and safety of various multiple myeloma therapies in less fit/frail older adults, with a minority examining fitness-based/risk-adapted approaches. Thus, significant gaps exist in knowing which myeloma therapies are most appropriate for older and more vulnerable adults with multiple myeloma. The purpose of this Review is to discuss how geriatric assessments can be used to guide the management of transplant-ineligible patients; and to highlight frontline therapies for standard-risk and high-risk cytogenetic abnormalities [i.e., t(4;14), t(14;16), and del(17p)] associated with multiple myeloma. We also discuss the current shortcomings of the existing clinical approaches to care and highlight ongoing clinical trials evaluating newer fitness-based approaches to managing transplant-ineligible patients.

Indexed as

FrailtyMultiple MyelomaAgedEuropeFrail ElderlyGeriatric AssessmentHumansFrailtyGeriatric assessmentsMultiple myelomaNewly diagnosed multiple myelomaOlder adultsTransplant-ineligible

Identifiers

PMID33342724
PMCPMC8113071

What OpenQuestion holds

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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.