Evidence map›Paper›PMID 21685471›Full record

ArticleHaematologica2011

Charlson comorbidity index and adult comorbidity evaluation-27 scores might predict treatment compliance and development of pleural effusions in elderly patients with chronic myeloid leukemia treated with second-line dasatinib.

Massimo Breccia, Roberto Latagliata, Fabio Stagno, Luigiana Luciano, Antonella Gozzini, Fausto Castagnetti, Carmen Fava, Francesco Cavazzini, Mario Annunziata, Antonella Russo Rossi and 10 more

Open access · goldAbstract read
In one paragraph

Article in Haematologica, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

  1. Senior adult oncology.Journal of the National Comprehensive Cancer Network : JNCCN · 2012
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  17. CYP2J2Frontiers in pharmacology · 2019
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 12 institutions in 1 country.

Massimo BrecciaDipartimento di Biotecnologie Cellulari ed Ematologia, Università La Sapienza, Roma, Italy. breccia@bce.uniroma1.it
Roberto Latagliata
Fabio Stagno
Luigiana Luciano
Antonella Gozzini
Fausto Castagnetti
Carmen Fava
Francesco Cavazzini
Mario Annunziata
Antonella Russo Rossi
Patrizia Pregno
Elisabetta Abruzzese
Paolo Vigneri
Giovanna Rege-Cambrin
Simona Sica
Fabrizio Pane
Valeria Santini
Giorgina Specchia
Gianantonio Rosti
Giuliana Alimena
Istituto di Ematologia di Bologna · ITSapienza University of Rome · ITFerrarotto Hospital · ITOspedale San Luigi Gonzaga · ITAzienda Ospedaliero Universitaria San Giovanni Battista · ITFederico II University Hospital · ITOspedale Antonio Cardarelli · ITSt. Eugenio Hospital · ITUniversità Cattolica del Sacro Cuore · ITUniversity of Bologna · ITUniversity of Ferrara · ITUniversity of Naples Federico II · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComorbidities may affect survival and choice of treatment among cancer patients. In fact, comorbidities have been identified as significant determinants of response to therapy in older patients with acute myeloid leukemia, breast cancer, head and neck cancer, and lung cancer. The Charlson comorbidity index and adult comorbidity evaluation-27 are lists of comorbidities with a weight assigned from 1 to 6 for the former and from 0 to 3 for the latter score, derived from relative risk estimates of a proportional hazard regression model using clinical data. DESIGN AND

methodsWe retrospectively evaluated the Charlson index and adult comorbidity evaluation-27 score in a cohort of 125 elderly (> 60 years) patients with chronic phase chronic myeloid leukemia who received dasatinib after showing resistance or intolerance to imatinib with the aim of establishing associations between comorbidities and the development of pleural effusions or compliance with the drug treatment.

resultsWe found a significant association between the Charlson index as well as the adult comorbidity evaluation-27 score and the rate of drug reduction or suspension: with regards to the Charlson index, 49% of score 0 patients had a dose reduction compared to 63% of patients with score 1, 74% of those with score 2 and 100% of patients with score 3-5 (P=0.03); with regards to the adult comorbidity evaluation-27 score, 45% of patients had score 0-1 and 69% of patients with score 2-3 had a dose reduction. Of the 65 patients with Charlson score 0, 29% had at least one suspension of treatment (79% for hematologic and 21% for non-hematologic toxicity), compared to 46% of patients with score 1 (37% for hematologic and 69% for non-hematologic toxicity), 58% of patients with score 2 (36% for hematologic and 64% for non-hematologic toxicity) and 100% of patients with score 3 or 4 (all patients for both types of toxicity). High adult comorbidity index-27 scores identified patients at high risk of grade 3/4 hematologic toxicity. Forty-one patients (32.8%) experienced pleural effusion during treatment: the highest scores for both indices were associated with an increased risk of pleural effusions.

conclusionsIn elderly patients with chronic myeloid leukemia treated with dasatinib, the rate of drug reduction or suspension and the incidence of pleural effusions seem to be associated with the presence of comorbidities: stratification according to the Charlson index and adult comorbidity evaluation-27 score before dasatinib therapy may enable the identification of patients at risk of major toxicities.

Indexed as

Medication AdherenceAgedAntineoplastic AgentsDasatinibFemaleHumansIncidenceLeukemia, Myelogenous, Chronic, BCR-ABL PositiveMalePleural EffusionProtein Kinase InhibitorsPyrimidinesRetrospective StudiesThiazolesTreatment OutcomeAntineoplastic AgentsDasatinibProtein Kinase InhibitorsPyrimidinesThiazoles

Identifiers

PMID21685471
PMCPMC3186306
OpenAlexW2168833663

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.