Evidence map›Paper›PMID 38136390›Full record

ReviewCancers2023

The Role of Geriatric Assessment in the Management of Diffuse Large B-Cell Lymphoma.

Francesco Merli, Stefano Pozzi, Hillary Catellani, Emiliano Barbieri, Stefano Luminari

Abstract readReview
In one paragraph

Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Francesco MerliHematology Unit, Azienda USL-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy.ORCID 0000-0002-0979-7883
Stefano PozziClinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, 41121 Modena, Italy.
Hillary CatellaniClinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, 41121 Modena, Italy.
Emiliano BarbieriClinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, 41121 Modena, Italy.
Stefano LuminariHematology Unit, Azienda USL-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The treatment choice for an older patient with diffuse large B-cell lymphoma (DLBCL) depends on many other factors in addition to age, which alone does not reflect the complexity of the aging process. Functional features and comorbidity incidence differ not only between younger and older patients but also among older patients themselves. The comprehensive geriatric assessment (CGA) quickly evaluates fitness status by investigating the patient's different functional areas, degree of autonomy, and presence of comorbidities. Various tools are available to evaluate frailty; which assessment tool to use should be based on the clinical aim. The simplified geriatric assessment (sGA) from the elderly project by the Fondazione Italiana Linfomi, prospectively tested on the largest number of patients, categorizes patients as fit, unfit, or frail, with a decreasing rate of overall survival. The elderly prognostic index (EPI), which combines sGA and IPI scores and hemoglobin level, is the first prognostic score for older patients, with three risk groups for survival. Future GAs should consider new parameters, including sarcopenia, which appears to be inversely related to survival. New tools based on prospective studies can help physicians choose the best treatment in light of the individual patient's characteristics.

Indexed as

diffuse large B-cell lymphomaolder patientssimplified geriatric assessment

Identifiers

PMID38136390
PMCPMC10742316

What OpenQuestion holds

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Registered trials

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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.