Evidence map›Paper›PMID 30187509›Full record

ArticleBritish journal of clinical pharmacology2018

Missed opportunities: unnecessary medicine use in patients with lung cancer at the end of life - an international cohort study.

Adam Todd, Jaafar Al-Khafaji, Nasima Akhter, Adetayo Kasim, Rachel Quibell, Kelly Merriman, Holly M Holmes

Open access · bronzeAbstract read
In one paragraph

Article in British journal of clinical pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
0.7field-weighted citation impact, top 30% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Deprescribing in palliative patients with cancer: a concise review of tools and guidelines.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
    Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. The potential for deprescribing in a palliative oncology patient population: a cross-sectional study.European journal of hospital pharmacy : science and practice · 2023
    Article
  8. Statin discontinuation in persons with and without Alzheimer's disease.European journal of clinical pharmacology · 2022
    Article
  9. Deprescribing in Palliative Cancer Care.Life (Basel, Switzerland) · 2022
    Review
  10. Article
  11. Review
  12. 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

7 authors at 6 institutions in 2 countries.

Adam ToddSchool of Pharmacy, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.ORCID 0000-0003-1496-9341
Jaafar Al-KhafajiDepartment of Internal Medicine, University of Nevada, Reno School of Medicine, Reno, NV, USA.
Nasima AkhterWolfson Research Institute for Health and Wellbeing, Durham University, Durham, UK.
Adetayo KasimWolfson Research Institute for Health and Wellbeing, Durham University, Durham, UK.
Rachel QuibellDepartment of Palliative Medicine, Royal Victoria Infirmary, Newcastle upon Tyne, UK.
Kelly MerrimanUniversity of Texas MD Anderson Cancer Center, Houston, TX, USA.
Holly M HolmesDivision of Geriatric and Palliative Medicine, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Durham University · GBNewcastle University · GBRoyal Victoria Infirmary · GBThe University of Texas Health Science Center at Houston · USThe University of Texas MD Anderson Cancer Center · USUniversity of Nevada, Reno · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe aims of the current study were: (i) to examine the prescribing of preventative medication in a cohort of people with advanced lung cancer on hospital admission and discharge across different healthcare systems; and (ii) to explore the factors that influence preventative medication prescribing at hospital discharge.

methodsA retrospective cohort study was conducted across two centres in the UK and the US. The prescribing of preventative medication was examined at hospital admission and discharge for patients who died of lung cancer. A zero-inflated negative binomial regression model was used to examine the association between preventative medications at discharge and patient- and hospital-based factors. The classes of preventative medication prescribed included were: vitamins and minerals, and antidiabetic, antihypertensive, antihyperlipidaemic and antiplatelet medications.

resultsIn the UK site (n = 125), the mean number of preventative medications prescribed was 1.9 [standard deviation (SD) 1.7) on admission, and 1.7 (SD 1.7) on discharge, and in the US site (n = 191) the mean was 2.6 (SD 2.2) on admission and 1.9 (SD 2.2) on discharge. The model found a significant association between the number of preventative drugs prescribed on admission and the number on discharge; it also found a significant association between the total number of drugs prescribed on discharge and the number of preventative medications on discharge. Other indicators related to patient and hospital factors were not significantly associated with the number of preventative medications supplied on discharge.

conclusionsThe use of preventative medication was common in lung cancer patients, despite undergoing discharge. Patient- and hospital-based factors did not influence the prescribing of preventative medication.

Indexed as

Inappropriate PrescribingPolypharmacyAdultAgedAged, 80 and overContinuity of Patient CareFemaleHumansLung NeoplasmsMaleMiddle AgedPatient DischargePreventive MedicineRetrospective Studiesdeprescribinglife limiting illnesslung cancermedication utilisationolder peoplepolypharmacy

Identifiers

PMID30187509
PMCPMC6256054
OpenAlexW2891625733

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.