Evidence map›Paper›PMID 34304283›Full record

ArticleCancer chemotherapy and pharmacology2021

Prevalence of drug-drug interactions in sarcoma patients: key role of the pharmacist integration for toxicity risk management.

Audrey Bellesoeur, Ithar Gataa, Anne Jouinot, Sarah El Mershati, Anne-Catherine Piketty, Camille Tlemsani, David Balakirouchenane, Anthia Monribot, Michel Vidal, Rui Batista and 7 more

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Article in Cancer chemotherapy and pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

17 authors at 2 institutions in 1 country.

Audrey Bellesoeur *Department of Medical Oncology, Cochin Hospital, AP-HP, Paris, France.
Ithar Gataa *Department of Medical Oncology, Cochin Hospital, AP-HP, Paris, France.
Anne JouinotDepartment of Medical Oncology, Cochin Hospital, AP-HP, Paris, France.
Sarah El MershatiDepartment of Clinical Pharmacy, Cochin Hospital, AP-HP, 27 rue du Faubourg Saint Jacques, 75014, Paris, France.
Anne-Catherine PikettyDepartment of Medical Oncology, Cochin Hospital, AP-HP, Paris, France.
Camille TlemsaniDepartment of Medical Oncology, Cochin Hospital, AP-HP, Paris, France.
David BalakirouchenaneDepartment of Pharmacokinetics and Pharmacochemisty, Cochin Hospital, AP-HP, Paris, France.
Anthia MonribotDepartment of Clinical Pharmacy, Cochin Hospital, AP-HP, 27 rue du Faubourg Saint Jacques, 75014, Paris, France.
Michel VidalDepartment of Pharmacokinetics and Pharmacochemisty, Cochin Hospital, AP-HP, Paris, France.
Rui BatistaDepartment of Clinical Pharmacy, Cochin Hospital, AP-HP, 27 rue du Faubourg Saint Jacques, 75014, Paris, France.
Sixtine de PercinDepartment of Medical Oncology, Cochin Hospital, AP-HP, Paris, France.
Clémentine VillemineyDepartment of Medical Oncology, Cochin Hospital, AP-HP, Paris, France.
Jérôme AlexandreDepartment of Medical Oncology, Cochin Hospital, AP-HP, Paris, France.
François GoldwasserDepartment of Medical Oncology, Cochin Hospital, AP-HP, Paris, France.
Benoit BlanchetDepartment of Pharmacokinetics and Pharmacochemisty, Cochin Hospital, AP-HP, Paris, France.
Pascaline Boudou-Rouquette *Department of Medical Oncology, Cochin Hospital, AP-HP, Paris, France.
Audrey Thomas-Schoemann *Department of Medical Oncology, Cochin Hospital, AP-HP, Paris, France. schoemann.audrey@gmail.com.ORCID 0000-0002-8240-1478
Délégation Paris 5 · FRHôpital Cochin · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe risk of drug-drug interactions (DDI) has become a major issue in cancer patients. However, data in sarcoma patients are scarce. We aimed to evaluate the frequency and the factors associated with DDI with antitumor treatments, and to evaluate the impact of a pharmacist evaluation before anticancer treatment. PATIENTS AND

methodsWe performed a retrospective review of consecutive sarcoma patients starting chemotherapy (CT) or Tyrosine kinase inhibitor (TKI). A pharmacist performed medication reconciliation and established an early toxicity risk assessment. Potential DDI with antitumor drugs were identified using Micromedex electronic software.

resultsOne hundred and twenty-two soft-tissue and 80 bone sarcoma patients (103 males, median age 50 years,) were included before CT (86%) or TKI (14%). The median number of medications was 3; 34 patients (22% of patients with medication reconciliation) reported complementary medicine use. 37 potential DDI classified as major, were identified (12% of the 243 pre-therapeutic assessments). In multivariate analysis, TKI (p < 0.0001), proton pump inhibitor (p = 0.026) and antidepressant (p < 0.001) were identified as risk factors of DDI (p < 0.02). Only marital status (p = 0.003) was associated with complementary medicine use. A pharmacist performed 157 medication reconciliations and made 71 interventions among 59 patients (37%). In multivariate analysis, factors associated with pharmacist intervention were: complementary medicines (p = 0.004), drugs number (p = 0.005) and treatment with TKI (p = 0.0002)

conclusionsClinical interventions on DDI are more frequently required among sarcoma patients treated with TKI than CT. Multidisciplinary risk assessment including a medication reconciliation by a pharmacist could be crucial to prevent DDI with TKI.

Indexed as

AdultAntineoplastic AgentsBone NeoplasmsDrug InteractionsFemaleHumansMaleMedication ReconciliationMiddle AgedPharmaceutical ServicesPharmacistsProfessional RoleProtein Kinase InhibitorsRetrospective StudiesRisk FactorsRisk ManagementAntineoplastic AgentsProtein Kinase InhibitorsComplementary medicinesDrug–drug interactionsPharmacist interventionSarcoma

Identifiers

PMID34304283
OpenAlexW3126338203

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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.