Evidence map›Paper›PMID 26542274›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2016

Polypharmacy in the terminal stage of cancer.

Katharina A Kierner, Dietmar Weixler, Eva K Masel, Verena Gartner, Herbert H Watzke

Abstract read
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In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 12% 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 64 citations in OpenAlex.

  1. Pooled it
  2. What is the evidence for mirtazapine in treating cancer-related symptomatology? A systematic review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2020
    Pooled it
  3. Article
  4. Pharmacist-led deprescribing interventions for cancer patients in a specialist palliative care setting.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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  17. The impact of palliative care consults on deprescribing in palliative cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2020
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  20. Drug interaction screening in SWOG clinical trials.American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists · 2018
    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

5 authors at 1 institution in 1 country.

Katharina A KiernerUnit of Palliative Care, Department of Internal Medicine I, University Hospital of Vienna, Waehringer Guertel 18-20, A-1090, Vienna, Austria. katharina.kierner@meduniwien.ac.at.
Dietmar WeixlerDepartment of Anesthesiology, Head of Palliative Care Team, Horn Hospital, Horn, Austria.
Eva K MaselUnit of Palliative Care, Department of Internal Medicine I, University Hospital of Vienna, Waehringer Guertel 18-20, A-1090, Vienna, Austria.
Verena GartnerUnit of Palliative Care, Department of Internal Medicine I, University Hospital of Vienna, Waehringer Guertel 18-20, A-1090, Vienna, Austria.
Herbert H WatzkeUnit of Palliative Care, Department of Internal Medicine I, University Hospital of Vienna, Waehringer Guertel 18-20, A-1090, Vienna, Austria.
Vienna General Hospital · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aims to determine the numbers of patients with advanced cancer receiving polypharmacy at the end of their lives and analyze differences in drug prescription at a general oncology ward and a dedicated palliative care ward.

methodsA retrospective single-center cohort study at a university hospital with a large cancer center was conducted. The charts of 100 patients who had died because of advanced cancer were reviewed; data concerning sociodemographic variables and medications were collected at four predefined time points (9, 6, 3, 0 days before death).

resultsNine days before death, polypharmacy was registered in 95 % of patients; they had prescriptions for 11 (9-13) different medications per day (median, IQR). Although this number dropped significantly, on the last day as many as 61 % of the patients were still taking more than 4 drugs (median 6.5, IQR 4-9). No significant difference was noted between the oncology ward and the palliative care ward. Polypharmacy was largely dependent on the patients' ECOG performance status as well as the type of ward, the number of days before death, and age. It was not influenced by gender, the duration of hospital stays, and the devices facilitating drug administration. The medications fulfilled the requirements of palliative care in the majority of patients; 90 % received treatment for pain and anxiety. Patients treated at the palliative ward received more opioids and psychoactive drugs while those at the oncology ward received more anti-cancer drugs and fluids.

conclusionsPolypharmacy still is a problem in the large majority of patients with terminal cancer. Further studies should be focused on the patients' quality of life, drug interactions, and adverse events.

Indexed as

Palliative CarePolypharmacyAdultAgedAged, 80 and overAnalgesics, OpioidAntineoplastic AgentsDrug InteractionsFemaleHumansLongitudinal StudiesMaleMiddle AgedNeoplasmsPainPractice Guidelines as TopicAnalgesics, OpioidAntineoplastic AgentsAdvanced cancerEnd of lifePalliative carePolypharmacy

Identifiers

PMID26542274
OpenAlexW2232066033

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.