Evidence map›Paper›PMID 26255807›Full record

ReviewBritish journal of clinical pharmacology2015

Oral antineoplastic agents: how do we care about adherence?

Marie Barillet, Virginie Prevost, Florence Joly, Bénédicte Clarisse

Open access · bronzeAbstract readReview
In one paragraph

Review in British journal of clinical pharmacology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
5.3field-weighted citation impact, top 4% 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, 3 syntheses or guidelines pooled it, 66 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Self-care behaviors in patients with cancer treated with oral anticancer agents: a systematic review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
    Pooled it
  4. Observational
  5. Review
  6. Implications for medication safety and adherence in dermato-oncology: The AMBORA care program for oral antitumor therapeutics.Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Cyclin-dependent kinase 4/6 inhibitor treatment use in women treated for advanced breast cancer: Integrating ASCO/NCODA patient-centered standards in a community pharmacy.Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners · 2023
    Article
  11. Article
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  13. Article
  14. Adverse events of targeted therapies approved for women's cancers.International journal of women's dermatology · 2021
    Review
  15. Article
  16. Article
  17. Impact of anxio-depressive symptoms and cognitive function on oral anticancer therapies adherence.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2019
    Article
  18. Article
  19. Article
  20. 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

4 authors at 2 institutions in 1 country.

Marie BarilletCentre Hospitalier J Monod, rue Eugène Garnier BP 219, 61104, Flers cedex.
Virginie PrevostUniversité de Caen Basse-Normandie EA 3936, Esplanade de la Paix, BP 5186, 14032, Caen Cedex 05.
Florence JolyUniversité de Caen Basse-Normandie EA 3936, Esplanade de la Paix, BP 5186, 14032, Caen Cedex 05.
Bénédicte ClarisseCentre Régional de Lutte Contre le Cancer François Baclesse, 3 Avenue du Général Harris, 14000, Caen, France.
Cancers et Préventions · FRCentre François Baclesse · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsOral therapies, including hormone-based or targeted therapies, have recently taken an increasing place in cancer treatment. In this context, a state of the art of the available studies dealing with the adherence of adult patients to oral anticancer treatment is warranted. The purpose of this review is to address (i) the association between assessment methods and measured adherence, (ii) the putative factors related to adherence and (iii) new ways of improving adherence to oral cancer therapies.

methodsWe conducted a literature-based narrative review of studies obtained from Pubmed using medical subject heading terms and free-text terms combining concepts related to oral anticancer medication and adherence.

resultsThe analysis is based on 48 studies published since 1990, mostly assessing hormone-based therapy in breast cancer and targeted therapies in chronic myeloid leukaemia. Various methods of adherence were reported including self-report, medication measurement or combinations of methods. Adherence rates were found to vary from 14% to 100%. Beside patient related-factors, adherence rate discrepancies were found to be dependent on the method used. Furthermore, there was no consensual definition of adherence even regarding the same methods, some of them tolerating a period of interruption during the treatment period. Finally, several studies addressing persistence found a progressive decrease in adherence with time.

conclusionAdherence to novel oral therapies is a major issue and further research is warranted to standardize adherence assessment in clinical studies better and to define better the most appropriate approaches to improve long term adherence in oncology practice.

Indexed as

Medication AdherenceAdministration, OralAntineoplastic AgentsDatabases, FactualHumansAntineoplastic Agentsantineoplastic agentscancer chemotherapy agentsmedication adherencemolecular targeted therapiespatient compliance

Identifiers

PMID26255807
PMCPMC4693496
OpenAlexW1843179041

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.