Evidence map›Paper›PMID 41449752›Full record

ReviewBritish journal of haematology2026

The importance of assessing the fitness of older patients with newly diagnosed diffuse large B-cell lymphoma and classic Hodgkin lymphoma.

Vittorio Ruggero Zilioli, Alessandra Tucci, Michele Spina, Francesco Merli, Annalisa Arcari, Elderly Lymphoma Committee of the Fondazione Italiana Linfomi

Abstract readReview
In one paragraph

Review in British journal of haematology, 2026. 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. Classical Hodgkin Lymphoma Today.Mediterranean journal of hematology and infectious diseases · 2026
    Review
  2. Article
  3. 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

6 authors.

Vittorio Ruggero ZilioliDivision of Hematology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Alessandra TucciHematology Division, ASST Spedali Civili di Brescia, Brescia, Italy.
Michele SpinaDivision of Medical Oncology and Immune-Related Tumors, Centro di Riferimento Oncologico di Aviano IRCCS, Pordenone, Italy.
Francesco MerliHematology Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy.ORCID https://orcid.org/0000-0002-0979-7883
Annalisa ArcariHematology Unit, Ospedale Guglielmo da Saliceto, Piacenza, Italy.
Elderly Lymphoma Committee of the Fondazione Italiana Linfomi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several tools have been developed to provide prognostic indicators that are more accurate than chronological age alone because choosing the best treatment for older lymphoma patients is challenging. For older patients with diffuse large B-cell lymphoma (DLBCL), one of these prognostic indicators is patient fitness; its definition has been validated, its assessment is recommended by international guidelines and it is currently integrated into several clinical trials. In terms of fitness, frailty is emerging as a major barrier to curative options for older patients with Hodgkin lymphoma (HL) as well, and the preliminary data now available support geriatric assessment in this setting. This review presents and discusses the robust results on the prognostic value of assessing fitness achieved in DLBCL and the early findings of geriatric studies conducted in HL, including promising novel approaches to defining patient fitness.

Indexed as

Geriatric AssessmentHodgkin DiseaseLymphoma, Large B-Cell, DiffuseAgedAged, 80 and overFemaleFrailtyHumansMalePrognosischemo‐free therapyfitness statusgeriatric assessmentimmunosenescencelymphomaolder patientssarcopenia

Identifiers

PMID41449752
PMCPMC12819097

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.