Evidence map›Paper›PMID 32449126›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2021

Breast cancer, placing drug interactions in the spotlight: is polypharmacy the cause of everything?

José Alberto Domínguez-Alonso, David Conde-Estévez, David Bosch, Maria Pi-Figueras, Ignacio Tusquets

Abstract read
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In one paragraph

Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 26% 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, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. The prevalence of frailty among breast cancer patients: a systematic review and meta-analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
    Pooled it
  2. Article
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  5. Development and validation of a prediction model for frailty in breast cancer patients with extended survival.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
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  6. Review
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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

5 authors at 3 institutions in 1 country.

José Alberto Domínguez-AlonsoUniversitat Pompeu Fabra-Universitat Autònoma de Barcelona, Barcelona, Spain. u11485696@gmail.com.ORCID http://orcid.org/0000-0002-3487-1512
David Conde-EstévezHospital Del Mar, Barcelona, Spain.
David BoschDepartament de Dinàmica de la Terra i de l'Oceà, Facultat de Ciències de la Terra, Universitat de Barcelona, Barcelona, Spain.
Maria Pi-FiguerasHospital Del Mar, Barcelona, Spain.
Ignacio TusquetsMedical Oncology Department, Hospital del Mar, Barcelona, Spain.
Hospital Del Mar · ESUniversitat Autònoma de Barcelona · ESUniversitat de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeBreast cancer is the most prevalent and lethal cancer among women. Forty-one percent of cases occur in people ≥ 70 years, hindering their treatment given its comorbidities and polypharmacy (PP). Potential drug-drug interactions (PDDI) were analyzed in elderly breast cancer patients between daily and oncospecific treatments and their associations with Age, BMI, Mini Nutritional Assessment (MNA), Frailty categorization, PP, and adverse effects. PATIENTS/

methodsA cohort of 77 patients ≥ 70 years with breast cancer who underwent a Comprehensive Geriatric Assessment (CGA) were included. Clinical characteristics were collected using medical records. PDDI between treatments were analyzed using two databases. Data were assessed using linear regression, Chi-square, Mann-Whitney U, and Kruskal-Wallis tests. Finally, a multivariate logistic regression model was built and tested to predict adverse effects.

resultsFrom 719 PDDI, 530 (74%) were moderate (r

conclusionsCGA should be applied in oncologic elderly patients to assess clinical outcomes and categorize them according to their frailty but also to analyze PDDI. Furthermore, we encourage the use of the model in clinical practice for predicting the occurrence of adverse effects, improving therapeutic conciliation.

Indexed as

PolypharmacyAgedAged, 80 and overAge FactorsBody Mass IndexBreast NeoplasmsChi-Square DistributionComorbidityDrug InteractionsFemaleFrailtyGeriatric AssessmentHumansLinear ModelsNutrition AssessmentStatistics, NonparametricAdverse effectsBreast neoplasmsDrug interactionsGeriatric assessmentMedical oncologyPolypharmacy

Identifiers

PMID32449126
OpenAlexW3027736394

What OpenQuestion holds

Textmetadata
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.