Evidence map›Paper›PMID 34287771›Full record

ArticleInvestigational new drugs2021

Toxicity and antitumor activity of novel agents in elderly patients with cancer included in phase 1 studies.

Geriletu Ao, Maria de Miguel, Ana Gomes, Runhan Liu, Valentina Boni, Irene Moreno, José Miguel Cárdenas, Antonio Cubillo, Lisardo Ugidos, Emiliano Calvo

Abstract read
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In one paragraph

Article in Investigational new drugs, 2021. 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
0.6field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Geroscience and Alzheimer's Disease Drug Development.The journal of prevention of Alzheimer's disease · 2023
    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

10 authors at 2 institutions in 1 country.

Geriletu AoSTART Madrid-HM CIOCC, Centro Integral Oncológico Clara Campal, Hospital Universitario HM Sanchinarro, Calle Oña, 10. 28050, Madrid, Spain.
Maria de MiguelSTART Madrid-HM CIOCC, Centro Integral Oncológico Clara Campal, Hospital Universitario HM Sanchinarro, Calle Oña, 10. 28050, Madrid, Spain.
Ana GomesSTART Madrid-HM CIOCC, Centro Integral Oncológico Clara Campal, Hospital Universitario HM Sanchinarro, Calle Oña, 10. 28050, Madrid, Spain.
Runhan LiuSTART Madrid-HM CIOCC, Centro Integral Oncológico Clara Campal, Hospital Universitario HM Sanchinarro, Calle Oña, 10. 28050, Madrid, Spain.
Valentina BoniSTART Madrid-HM CIOCC, Centro Integral Oncológico Clara Campal, Hospital Universitario HM Sanchinarro, Calle Oña, 10. 28050, Madrid, Spain.
Irene MorenoSTART Madrid-HM CIOCC, Centro Integral Oncológico Clara Campal, Hospital Universitario HM Sanchinarro, Calle Oña, 10. 28050, Madrid, Spain.
José Miguel CárdenasDepartamento de Matemática Aplicada y Estadística, San Pablo CEU University. Calle Julián Romea, 18. 28003, Madrid, Spain.
Antonio CubilloCentro Integral, Oncológico Clara Campal. Hospital Universitario HM Sanchinarro. Calle Oña, 10. 28050, Madrid, Spain.
Lisardo UgidosCentro Integral, Oncológico Clara Campal. Hospital Universitario HM Sanchinarro. Calle Oña, 10. 28050, Madrid, Spain.
Emiliano CalvoSTART Madrid-HM CIOCC, Centro Integral Oncológico Clara Campal, Hospital Universitario HM Sanchinarro, Calle Oña, 10. 28050, Madrid, Spain. emiliano.calvo@startmadrid.com.ORCID 0000-0003-4921-829X
Hospital Universitario HM Sanchinarro · ESUniversidad San Pablo CEU · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction The number of cancer cases among the elderly continue to increase as the worldwide population ages. This patient subset is underrepresented in clinical trials, partly because of unresolved uncertainties about age-associated tolerabilities and antitumor activities. We reviewed phase 1 trial data to study tolerance and efficacy of novel agents used for treatment of elderly patients with cancer. Methods Data from 773 consecutive evaluable patients in 85 phase 1 clinical trials (2008-2016) at START Madrid-CIOCC were analyzed according to age, with respect to objective response, survival, and toxicity. Results The mean age was 58.7 (range: 18-87) years; 260 (33.6%) patients were >65 y (elderly group). One hundred thirty-seven (17.8%) patients received immunotherapy drugs, 308 (39.8%) received targeted agents, and 328 (42.4%) received chemotherapy. No statistically significant differences in overall survival, objective response, or severe toxicity rates were found according to treatment type. Similar toxicities and clinical activities were found between the two age subgroups; 18.8% of the elderly and 20.7% of the younger patients experienced severe hematological toxicity (p=0.5), and 30.2% and 32.7%, respectively, experienced severe non-hematological toxicity (p=0.4). Regarding antitumor activity, 12.4% of the elderly and 15% of the younger patients achieved objective responses (p=0.41). There were no significant between-group differences in overall survival (9.7 versus 11.5 months, respectively, p=0.1) or progression-free survival (2.3 versus 2.2 months, respectively, p=0.7). Conclusions This retrospective study found that elderly and younger populations had comparable antitumor activities and toxicity profiles. These results support including elderly patients with cancer in early-phase trials.

Indexed as

AgedAged, 80 and overAge FactorsAgingAntineoplastic AgentsClinical Trials, Phase I as TopicHumansNeoplasmsRetrospective StudiesSociodemographic FactorsSurvival AnalysisAntineoplastic AgentsAntitumor activityEarly-phase clinical trialsElderly populationGeriatric comorbidities

Identifiers

PMID34287771
OpenAlexW3185229123

What OpenQuestion holds

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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.