Evidence map›Paper›PMID 37465115›Full record

ReviewFrontiers in oncology2023

New treatment options in elderly patients with Diffuse Large B-cell Lymphoma.

Annalisa Arcari, Federica Cavallo, Benedetta Puccini, Daniele Vallisa

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

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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

4 authors at 3 institutions in 1 country.

Annalisa ArcariHematology and Bone Marrow Transplant Unit, Guglielmo da Saliceto Hospital, Piacenza, Italy.
Federica CavalloDivision of Hematology, Department of Molecular Biotechnologies and Health Sciences, University of Torino/Azienda Ospedaliera Universitaria (AOU) Città della Salute e della Scienza di Torino, Torino, Italy.
Benedetta PucciniHematology Department, University of Florence and Azienda Ospedaliera Universitaria (AOU) Careggi, Firenze, Italy.
Daniele VallisaHematology and Bone Marrow Transplant Unit, Guglielmo da Saliceto Hospital, Piacenza, Italy.
Guglielmo da Saliceto Hospital · ITAzienda Ospedaliera Citta' della Salute e della Scienza di Torino · ITAzienda Ospedaliero-Universitaria Careggi · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most patients with Diffuse Large B-cell Lymphoma (DLBCL) are old (>65 years of age) and this population is expected to increase in the following years. A simplified geriatric assessment based on a careful evaluation of the fitness status and comorbidities is essential to choose the correct intensity of treatment. Fit older patients can benefit from a standard immunochemotherapy, while unfit/frail patients frequently need reduced doses or substitution of particular agents with less toxic ones. This review focuses on new therapies (e.g., polatuzumab vedotin, tafasitamab, bispecific antibodies) that have indicated promising results in relapsed/refractory patients, particularly in cases not eligible to transplant. Some of these new drugs have been tested as single agents or in combinations as first-line treatment, aiming to improve the outcome of the traditional chemotherapy. If preliminary efficacy and safety data are confirmed in future clinical trials, a chemo-free immunotherapic approach could become an alternative option to offer a curative treatment even in frail patients.

Indexed as

antibodychemotherapyelderlygeriatric assessmentlymphoma

Identifiers

PMID37465115
PMCPMC10351275
OpenAlexW4382940142

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.