Evidence map›Paper›PMID 38768908›Full record

ArticleTransplantation and cellular therapy2024

Optimizing Autologous Stem Cell Transplantation in Multiple Myeloma: The Impact of Intensive Chemomobilization.

Andrew J Portuguese, Albert C Yeh, Rahul Banerjee, Leona Holmberg, Natalie Wuliji, Damian J Green, Marco Mielcarek, Ajay K Gopal, Ted Gooley, Philip Stevenson and 1 more

Abstract read
In one paragraph

Article in Transplantation and cellular therapy, 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.

  1. Article
  2. Article
  3. 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.

Andrew J PortugueseFred Hutchinson Cancer Center, Seattle, Washington; University of Washington, Seattle, Washington. Electronic address: aportugu@fredhutch.org.
Albert C YehFred Hutchinson Cancer Center, Seattle, Washington; University of Washington, Seattle, Washington.
Rahul BanerjeeFred Hutchinson Cancer Center, Seattle, Washington; University of Washington, Seattle, Washington.
Leona HolmbergFred Hutchinson Cancer Center, Seattle, Washington; University of Washington, Seattle, Washington.
Natalie WulijiFred Hutchinson Cancer Center, Seattle, Washington; University of Washington, Seattle, Washington.
Damian J GreenFred Hutchinson Cancer Center, Seattle, Washington; University of Washington, Seattle, Washington.
Marco MielcarekFred Hutchinson Cancer Center, Seattle, Washington; University of Washington, Seattle, Washington.
Ajay K GopalFred Hutchinson Cancer Center, Seattle, Washington; University of Washington, Seattle, Washington.
Ted GooleyFred Hutchinson Cancer Center, Seattle, Washington.
Philip StevensonFred Hutchinson Cancer Center, Seattle, Washington.
Andrew J CowanFred Hutchinson Cancer Center, Seattle, Washington; University of Washington, Seattle, Washington.

Funding

RESEARCH TRAINING IN HEMATOLOGYT32HL007093 · NHLBI · UNIVERSITY OF WASHINGTON · PI Janis L Abkowitz · 1985 to 2026
$13.9M
NHLBI NIH HHS T32 HL007093
6 · The paper itself

Abstract

Most transplant-eligible multiple myeloma (MM) patients undergo autologous peripheral blood stem cell collection (PBSC) using G-CSF with on-demand plerixafor (G ± P). Chemomobilization (CM) can be used as a salvage regimen after G ± P failure or for debulking residual tumor burden ahead of autologous peripheral blood stem cell transplantation (ASCT). Prior studies utilizing cyclophosphamide-based CM have not shown long-term benefits. At our center, intensive CM (ICM) using a PACE- or HyperCVAD-based regimen has been used to mitigate "excessive" residual disease based on plasma cell (PC) burden or MM-related biomarkers. Given the lack of efficacy of non-ICM, we sought to determine the impact of ICM on event-free survival (EFS), defined as death, progressive disease, or unplanned treatment escalation. We performed a retrospective study of newly diagnosed MM patients who collected autologous PBSCs with the intent to proceed immediately to ASCT at our center between 7/2020 and 2/2023. Patients were excluded if they underwent a tandem autologous or sequential autologous-allogeneic transplant, had primary PC leukemia, received non-ICM treatment (i.e., cyclophosphamide and/or etoposide), or had previously failed G ± P mobilization. To appropriately evaluate the impact of ICM among those who potentially could have received it, we utilized a propensity score matching (PSM) approach whereby ICM patients were compared to a cohort of non-CM patients matched on pre-ASCT factors most strongly associated with the receipt of ICM. Of 451 patients identified, 61 (13.5%) received ICM (PACE-based, n = 45; hyper-CVAD-based, n = 16). Post-ICM/pre-ASCT, 11 patients (18%) required admission for neutropenic fever and/or infection. Among 51 evaluable patients, the overall response rate was 31%; however, 46 of 55 evaluable patients (84%) saw a reduction in M-spike and/or involved free light chains. Among those evaluated with longitudinal peripheral blood flow cytometry (n = 8), 5 patients (63%) cleared circulating blood PCs post-ICM. Compared to patients mobilized with non-CM, ICM patients collected a slightly greater median number of CD34

Indexed as

Multiple MyelomaTransplantation, AutologousAdultAgedAntineoplastic Combined Chemotherapy ProtocolsBenzylaminesCyclamsFemaleGranulocyte Colony-Stimulating FactorHematopoietic Stem Cell TransplantationHumansMaleMiddle AgedPeripheral Blood Stem Cell TransplantationRetrospective StudiesBenzylaminesCyclamsGranulocyte Colony-Stimulating FactorplerixaforAutologous hematopoietic stem cell transplantationChemomobilizationMultiple myelomaPropensity score matching

Identifiers

PMID38768908
PMCPMC11296896

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.