Evidence map›Paper›PMID 39305306›Full record

ArticleAnnals of hematology2025

Optimizing individualized therapy decision-making in multiple myeloma (MM): integration and impact of the Revised Myeloma Comorbidity Index in the MM-tumor board.

Esther Dreyling, Gabriele Ihorst, Heike Reinhardt, Jan Räder, Maximilian Holler, Georg Herget, Christine Greil, Ralph Wäsch, Monika Engelhardt

Abstract read
In one paragraph

Article in Annals of hematology, 2025. 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. Trial
  2. Article
  3. Article
  4. Review
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

9 authors.

Esther DreylingDepartment of Medicine I Hematology and Oncology, Medical Center -University of Freiburg (UKF), Faculty of Medicine, Hugstetterstr. 53, Freiburg im Breisgau, 79106, Germany.
Gabriele IhorstComprehensive Cancer Center Freiburg (CCCF), Medical Center -UKF, Faculty of Medicine, Freiburg im Breisgau, Germany.
Heike ReinhardtDepartment of Medicine I Hematology and Oncology, Medical Center -University of Freiburg (UKF), Faculty of Medicine, Hugstetterstr. 53, Freiburg im Breisgau, 79106, Germany.
Jan RäderDepartment of Medicine I Hematology and Oncology, Medical Center -University of Freiburg (UKF), Faculty of Medicine, Hugstetterstr. 53, Freiburg im Breisgau, 79106, Germany.
Maximilian HollerDepartment of Medicine I Hematology and Oncology, Medical Center -University of Freiburg (UKF), Faculty of Medicine, Hugstetterstr. 53, Freiburg im Breisgau, 79106, Germany.
Georg HergetComprehensive Cancer Center Freiburg (CCCF), Medical Center -UKF, Faculty of Medicine, Freiburg im Breisgau, Germany.
Christine GreilDepartment of Medicine I Hematology and Oncology, Medical Center -University of Freiburg (UKF), Faculty of Medicine, Hugstetterstr. 53, Freiburg im Breisgau, 79106, Germany.
Ralph WäschDepartment of Medicine I Hematology and Oncology, Medical Center -University of Freiburg (UKF), Faculty of Medicine, Hugstetterstr. 53, Freiburg im Breisgau, 79106, Germany.
Monika EngelhardtDepartment of Medicine I Hematology and Oncology, Medical Center -University of Freiburg (UKF), Faculty of Medicine, Hugstetterstr. 53, Freiburg im Breisgau, 79106, Germany. monika.engelhardt@uniklinik-freiburg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple Myeloma (MM) is a hematological disease predominantly affecting elderly patients. The complexity of current treatment necessitates individualized approaches. Therein, functional assessment (FA) tools, such as the Revised Comorbidity Index (R-MCI) at our University- and Comprehensive Cancer Center Freiburg, play a crucial role. This study aimed to determine (a) the implementation of the R-MCI in our MM-tumor board (MM-TB), (b) its impact on treatment guidance at baseline and (c) potential changes during follow-up. This exploratory study investigated R-MCI coverage and distribution in a cohort of patients with multiple TB presentations. Among them, a follow-up patient cohort undergoing subsequent MM-therapy was analyzed to determine treatment adjustments and changes in patients' condition measured by R-MCI alterations. During our 3-year assessment period, 565 patients were presented in our MM-TB, totaling 1256 TB-presentations. In the multiple TB presentation cohort, the median number of TB presentations was 3 (range: 2-12). R-MCI scores within the MM-TB were available in 94%, whereas in 6%, the R-MCI had not been integrated. Among these, potential failure to identify the need for treatment modifications was determined. In the follow-up cohort, patient characteristics were typical for referral/university centers. Dose reductions were performed in 55% and were more prevalent among patients with ≥ 4 vs. lesser TB presentations. Most patients (55%) showed a fitness stabilization or improvement via follow-up R-MCI. R-MCI integration in MM-TB exceeded > 90%, indicating its successful integration for treatment support. Our results underscore its value in guiding therapy decisions, providing a comprehensive assessment beyond age considerations.

Indexed as

Clinical Decision-MakingMultiple MyelomaPrecision MedicineAdultAgedAged, 80 and overCohort StudiesComorbidityFemaleFollow-Up StudiesHumansMaleMiddle AgedFrailtyGeriatric assessmentMultiple myeloma (MM)Revised Myeloma Comorbidity Index (R-MCI)Therapy adjustmentTumor boards (TBs)

Identifiers

PMID39305306
PMCPMC11868216

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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.