Evidence map›Paper›PMID 35846211›Full record

ArticleEJHaem2022

Daratumumab combined with dexamethasone and lenalidomide or bortezomib in relapsed/refractory multiple myeloma (RRMM) patients: Report from the multiple myeloma GIMEMA Lazio group.

Francesca Fazio, Luca Franceschini, Valeria Tomarchio, Angela Rago, Maria Grazia Garzia, Luca Cupelli, Velia Bongarzoni, Alessandro Andriani, Svitlana Gumenyuk, Agostino Tafuri and 8 more

Open access · diamondAbstract read
In one paragraph

Article in EJHaem, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 27% of its field
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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Multiple Myeloma in 2023 Ways: From Trials to Real Life.Current oncology (Toronto, Ont.) · 2023
    Review
  3. Article
  4. Article
  5. 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 at 14 institutions in 3 countries.

Francesca FazioDepartment of Translational and Precision Medicine, Hematology Azienda Policlinico Umberto I Sapienza University of RomeSapienza Università di Roma.
Luca FranceschiniTransplant Network, Hematology-Stem Cell Transplant Unit Rome Italy.
Valeria TomarchioDepartment of Haematology, University Campus Biomedico Rome Italy.
Angela RagoASL RM/A UOSD Ematologia Asl Roma 1 Rome Italy.
Maria Grazia GarziaDepartment of Hematology, Hematology San Camillo Forlanini Hospital Rome Italy.
Luca CupelliDepartment of Hematology, Hematology Ospedale Sant'Eugenio Rome Italy.
Velia BongarzoniDepartment of Hematology San Giovanni-Addolorata Hospital Rome Italy.
Alessandro AndrianiDepartment of Hematology Ospedale Fabrizio Spaziani Rome Italy.
Svitlana GumenyukHaematology and Stem Cell Transplant Regina Elena National Cancer Institute Rome Italy.
Agostino TafuriAzienda Ospedaliera Sant'Andrea Rome Italy.
Agostina SiniscalchiS. Eugenio Hospital Institute of Haematology Rome Italy.
Alfonso PiciocchiData Center, Italian Group for Adult Hematologic Diseases, (GIMEMA) Rome Italy.
Paolo De FabritiisDepartment of Haematology Ospedale Sant'Eugenio Rome Italy.
Luca De RosaHematology and Bone Marrow Transplantation Unit Azienda Ospedaliera San Camillo-Forlanini Rome Italy.
Tommaso Caravita di TorittoDepartment of Hematology, ASL Roma 1 Rome Italy.
Ombretta AnnibaliDepartment of Haematology Campus Bio-Medico University of Rome Rome Italy.
Maria CantonettiChair of Hematology, Universita Tor Vergata Rome Italy.
Maria Teresa PetrucciDepartment of Translational and Precision Medicine, Hematology Azienda Policlinico Umberto I Sapienza University of RomeSapienza Università di Roma.
St. Eugenio Hospital · ITASL Roma · ITUniversità Campus Bio-Medico · ITAzienda Ospedaliera San Camillo-Forlanini · ITAzienda Ospedaliera San Giovanni Addolorata · ITAzienda Ospedaliera Sant'Andrea · ITCarlo Forlanini Hospital · ITFondazione Gimema Onlus · ITNational Cancer Institute · MYOspedale di Santo Spirito · ITPoliclinico Umberto I · ITSapienza University of Rome · ITStem Cell Network · CAUniversity of Rome Tor Vergata · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The multiple myeloma (MM) treatment has changed over the last years due to the introduction of novel drugs. Despite improvements in the MM outcome, MM remains an incurable disease. Daratumumab is a human IgGK monoclonal antibody targeting CD38 with tumor activity associated with immunomodulatory mechanism. In combination with standard of care regimens, including bortezomib (Vd) or lenalidomide (Rd), daratumumab prolonged progression-free survival (PFS) in patients (pts) with relapsed/refractory multiple myeloma (RRMM) and in new diagnosis MM. We report the data of the MM GIMEMA Lazio group in 171 heavily treated pts who received daratumumab, lenalidomide and dexamethasone (DRd) or daratumumab, velcade and dexamethasone (DVd). The overall response rate was 80%, and the overall survival (OS) and PFS were 84% and 77%, respectively. In addition, pts treated with DRd showed a better median PFS compared to pts treated with DVd, at 12 and 24 months, respectively. The most common hematologic treatment-emergent adverse events (TAEs) were neutropenia, thrombocytopenia, and anemia. The most common nonhematologic TAEs were peripheral sensory neuropathy and infections. Our data confirmed that DRd or DVd therapy is effective and safe in RRMM pts, and our real-life analysis could support the physicians regarding the choice of optimal therapy in this setting of pts.

Indexed as

immunotherapymultiple myelomarelapsed refractory

Identifiers

PMID35846211
PMCPMC9175681
OpenAlexW4205852291

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.